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Experience Level
Mid to Senior
Qualifications
What You Will Do:
Develop and optimize advanced computer vision algorithms for our autonomous gun turret, concentrating on real-time detection, tracking, and classification of drones.
Design and implement robust machine learning models capable of functioning in resource-limited environments while ensuring high accuracy and reliability.
Work in close collaboration with electrical engineers to seamlessly integrate computer vision systems into the turret's hardware architecture.
Conduct extensive testing and validation of computer vision algorithms across a variety of scenarios to guarantee robustness and performance under diverse environmental conditions.
Contribute to the enhancement of the prototype turret into a military-grade system and support the development of variants for different weapon systems and engagement ranges.
What You Will Need:
A profound passion for machine learning, computer vision, and robotics, demonstrated through early career exploration in these fields.
A minimum of a Bachelor’s degree in Computer Science, Electrical Engineering, or a related discipline, with a strong emphasis on machine learning and computer vision.
4-7 years of experience in machine learning-based computer vision, preferably within the robotics domain.
A proven history of developing and deploying computer vision systems, particularly in real-time or safety-critical applications.
Strong proficiency in Python and C++, with experience in machine learning frameworks such as TensorFlow, PyTorch, or equivalents.
Familiarity with embedded systems and the integration of computer vision algorithms into hardware.
Knowledge of various sensors and their application in computer vision contexts.
About the job
Join Our Team as a Computer Vision & Machine Learning Engineer for Autonomous Anti-Drone Systems
Company Overview:
At Allen Control Systems (ACS), we are redefining defense technology as a pioneering startup founded by two former Navy electrical engineers with extensive expertise in robotics and software development. We are at the forefront of creating a compact, autonomous gun turret equipped with cutting-edge computer vision and control systems designed to accurately identify and neutralize small drones and loitering munitions. Our mission involves tackling complex technical challenges, offering a thrilling and dynamic atmosphere for skilled engineers.
With a culture that prioritizes engineering excellence and innovation, ACS is driven by the founders' successful exits from two prior ventures, yielding a combined $180M in 2022. We are dedicated to developing transformative technologies that will have a meaningful impact in the real world.
About Allen Control Systems
Allen Control Systems (ACS) is an innovative defense technology startup, established by ex-Navy engineers with a strong background in robotics. We focus on creating advanced systems for military applications, committed to addressing complex challenges in autonomous defense technologies.
Join Our Team as a Computer Vision & Machine Learning Engineer for Autonomous Anti-Drone Systems Company Overview: At Allen Control Systems (ACS), we are redefining defense technology as a pioneering startup founded by two former Navy electrical engineers with extensive expertise in robotics and software development. We are at the forefront of creating a compact, autonomous gun turret equipped with cutting-edge computer vision and control systems designed to accurately identify and neutralize small drones and loitering munitions. Our mission involves tackling complex technical challenges, offering a thrilling and dynamic atmosphere for skilled engineers. With a culture that prioritizes engineering excellence and innovation, ACS is driven by the founders' successful exits from two prior ventures, yielding a combined $180M in 2022. We are dedicated to developing transformative technologies that will have a meaningful impact in the real world.
Join Our Team as a Junior Computer Vision & Machine Learning Engineer for Autonomous Anti-Drone Systems! About Allen Control Systems: Allen Control Systems (ACS) is an innovative defense startup founded by two former Navy electrical engineers renowned for their expertise in robotics and software development. We are at the forefront of creating a compact, autonomous gun turret that utilizes state-of-the-art computer vision and control systems to accurately identify and neutralize small drones and loitering munitions. Our pioneering approach presents exciting technical challenges, making ACS a vibrant workplace for aspiring engineers. With a strong engineering-driven culture, ACS prioritizes technical excellence and creativity. Our founders have successfully exited from two previous ventures, collectively worth $180 million in 2022, and we are dedicated to ensuring that the groundbreaking technologies we create will make a significant real-world impact. Your Role: Develop and optimize computer vision algorithms for our autonomous gun turret, focusing on real-time detection, tracking, and classification of drones. Design and implement machine learning models capable of functioning in resource-constrained environments while ensuring high accuracy and reliability. Collaborate with electrical engineers to seamlessly integrate computer vision systems into the turret's hardware architecture. Conduct rigorous testing and validation of computer vision algorithms across various scenarios to ensure robustness and performance under diverse environmental conditions. Contribute to the enhancement of the prototype turret into a military-grade system and assist in developing variants for different weapon systems and engagement ranges.
Join Our Team as a Staff Engineer in Computer Vision & Machine Learning for Autonomous Anti-Drone Systems Company Overview: Allen Control Systems (ACS) is an innovative defense startup founded by two former Navy electrical engineers renowned for their expertise in robotics and software development. We are at the forefront of creating a compact, autonomous gun turret that utilizes state-of-the-art computer vision and control technologies to accurately target and neutralize small drones and loitering munitions. Our ambitious mission presents numerous technical challenges, providing a thrilling and fast-paced environment for seasoned engineers. ACS fosters an engineering-driven culture that prioritizes technical excellence and innovation. Supported by our founders' successful exits from two previous ventures totaling $180M in 2022, we are dedicated to ensuring that our pioneering technologies will make a significant impact in the real world.
LocationOn-site — Austin, TXEmployment TypeFull-TimeJob TitleComputer Vision Engineer (Junior, Senior, Lead/Principal)Company OverviewJoin 9-mothers, a dynamic and well-funded startup pioneering the development of autonomous machines for defense applications. Our flagship product is engineered to counteract small, agile FPV suicide drones—often seen in contemporary conflicts like the Russia-Ukraine situation. We pride ourselves on creating systems that demand unparalleled perception and decision-making capabilities. If you are passionate about transforming innovative machine learning technologies into operational solutions, this is the ideal environment for you.Though we currently concentrate on defensive systems, there is exciting potential for future expansions into advanced capabilities.Position SummaryWe are on the lookout for a skilled Computer Vision Engineer to become the “vision” of our autonomous c-sUAS platforms. In this role, you will be responsible for architecting, deploying, and refining the perception pipeline, with a focus on achieving low-latency and high-frame-rate processing to accurately track fast-moving targets.Your expertise should encompass building models and systems from the ground up, transcending the use of existing frameworks. This entails developing bespoke models rather than merely implementing tools like YOLO, showcasing a deep understanding of the complexities within the problem space.Essential DutiesDesign and implement a comprehensive embedded computer vision pipeline using high-performance programming languages such as Python and C++.Employ real-time object detection models (e.g., YOLO) and optimized CNNs to deliver top-tier object detection and tracking performance.Enhance code for low-latency, high-frame-rate efficiency on constrained embedded systems, demonstrating practical experience with NVIDIA Jetson platforms and camera pipelines.Utilize geometric vision principles (calibration, rectification, and 3D geometry) to convert 2D camera images into precise 3D coordinates for fire control and guidance systems.Collaborate closely with robotics and AI teams to ensure that perception data is reliable for autonomous decision-making and effective countermeasure guidance.
Join Us as a Senior Computer Vision & Machine Learning Engineer for Autonomous Anti-Drone Systems!Company Overview:Allen Control Systems (ACS) is an innovative defense startup founded by two experienced former Navy electrical engineers, known for their success in robotics and software development. We are pioneering the creation of a compact, autonomous gun turret equipped with cutting-edge computer vision and control systems designed to accurately identify and neutralize small drones and loitering munitions. Our mission is to address complex technical challenges, providing a stimulating and fast-paced environment for seasoned engineers.At ACS, we prioritize engineering excellence and groundbreaking innovation. Our founders' successful ventures, which led to exits totaling $180 million in 2022, reinforce our commitment to developing technologies that make a meaningful impact in the real world.
Join Skyways as we revolutionize air transportation through cutting-edge autonomous unmanned aerial vehicles (UAVs). With robust support from investors, including a $37M STRATFI contract from the U.S. Air Force, we operate at the forefront of both commercial and defense sectors. Our journey has seen us design, build, and successfully fly aircraft alongside real customers and government partners, and we're now poised to scale our operations toward full production.Situated in Austin, TX, and backed by leading investors including Y Combinator, our team thrives on rapid prototyping and real-world deployment. We actively design, test, and operate our systems in the field, seamlessly integrating our findings into engineering and product strategies. As we expand, we seek innovative builders and leaders eager to take ownership, delve into technical challenges, and contribute to transitioning our aircraft from successful trials to full-scale production.The OpportunityAt Skyways, we're at the cutting edge of autonomous aerial platforms. This isn't merely an engineering position; it’s a pivotal role for a Senior Software Engineer specializing in computer vision and robotics. We’re looking for a talented individual who can significantly impact our technology and drive our growth and revenue.
Special Notice This is a full-time position at webAI in Austin, TX. Employment is not tied to project awards or external funding. Role Overview webAI seeks a Senior Machine Learning Engineer to strengthen its Public Sector work. The focus: building and refining production-ready AI systems designed for secure, distributed environments. This role centers on moving models from prototype to reliable, scalable deployment, supporting government cloud platforms and edge devices, even where connectivity is limited or absent. What You Will Do Design and implement agentic workflows for multi-step reasoning, tool use, and automated decision-making in production systems. Convert research AI models into scalable systems used in real-world applications. Develop adaptive machine learning solutions using LoRA, PEFT, and on-device inference. Work with frameworks like PyTorch, TensorFlow, and Hugging Face Transformers to create, fine-tune, and optimize models. Apply model optimization methods such as quantization, pruning, distillation, and hardware-specific acceleration. Build and manage Retrieval Augmented Generation (RAG) pipelines, including integration with vector databases for contextual retrieval. Collaborate with multi-modal AI systems across computer vision, audio, and natural language processing domains. Improve model performance for distributed and resource-constrained environments, ensuring systems remain dependable under different connectivity scenarios. Requirements Active US Security clearance. At least 4 years of experience in applied AI, machine learning engineering, or production AI systems. Strong proficiency with PyTorch, TensorFlow, or Hugging Face Transformers. Hands-on experience deploying AI models to cloud, edge, and mobile hardware. Expertise in model compression and optimization (quantization, pruning, distillation). Background in building RAG pipelines and integrating vector databases.
Join Bumble Inc. as a Lead Machine Learning Engineer and drive innovation in our cutting-edge technology team. In this pivotal role, you will lead the design and implementation of machine learning algorithms, enhancing user experiences across our platforms. Collaborate with cross-functional teams to translate complex data into actionable insights, while mentoring junior engineers to foster growth and excellence within the team.
Join Avride as a Machine Learning Platform Engineer, where you will be at the forefront of developing cutting-edge machine learning solutions. In this pivotal role, you will collaborate with data scientists and software engineers to build robust ML infrastructure, driving innovation and efficiency.
Join the innovative team at Allen Control Systems as a CV/ML Platform Engineer, where you will play a crucial role in building and optimizing cutting-edge computer vision and machine learning platforms. You will collaborate with a dynamic group of engineers and data scientists to develop solutions that push the boundaries of technology in our field.
At Bumble, we strive to foster a world where every relationship is both healthy and equitable. As an integral member of our AI & Matching team, you will be at the forefront of revolutionizing how millions of individuals connect, cultivate friendships, and discover meaningful relationships. Reporting directly to our SVP of AI & Data, your contributions will be pivotal in enhancing intelligent systems that provide safe, personalized, and engaging user experiences across all our platforms. In this influential individual contributor role, your work will tangibly influence product strategies, user trust, and large-scale business outcomes. You will operate with a profound sense of ownership and curiosity, advocating for innovative machine learning methodologies while exemplifying Bumble's core values of Curiosity and Excellence. From reimagining recommendation systems to integrating responsible AI standards, your efforts will help us push boundaries while remaining respectful of our global community. AI is central to our product evolution and internal capabilities. In this position, you will not only develop and scale advanced machine learning models, but also influence how AI is thoughtfully and responsibly implemented throughout the organization.
Join our innovative team at Allen Control Systems as a Machine Learning Data Engineer. In this pivotal role, you will leverage your expertise in machine learning, data processing, and engineering to design and implement data pipelines and algorithms that enhance our data-driven initiatives. You will collaborate closely with data scientists and software engineers to deliver cutting-edge solutions that drive business insights and efficiencies.
Full-time|$160K/yr - $200K/yr|Remote|Austin, Texas or Remote
About Striveworks Striveworks helps organizations use artificial intelligence to solve real-world problems, especially in national security. Founded by data scientists and engineers, the company focuses on making AI deployment and ongoing optimization simpler and more reliable. Striveworks partners with clients to build systems that adapt, scale, and perform well in unpredictable situations, supporting critical operations and informed decision-making. Role Overview: Senior Machine Learning Engineer The Senior Machine Learning Engineer will take on a key position, contributing to both customer projects and Striveworks’ core product suite. This role involves working with the Chariot AIOps platform to create solutions that bridge data, models, and operational needs. Collaboration is central: expect to work closely with data scientists, software engineers, and DevOps professionals to turn machine learning models into real operational tools. This position is open to candidates in Austin, Texas or those seeking a remote arrangement. A hybrid option is available for those near the Austin office. Main Responsibilities Work with customers, engineers, and stakeholders to define requirements that align with client needs and leverage the AI operations platform. Develop machine learning models and analytics for various types of data, including images, video, text, geospatial, time series, and structured datasets. Automate and manage complex data engineering and analytics workflows. Contribute to the design and implementation of core product features. Participate in mission-critical fieldwork as opportunities arise. Who Thrives Here This role suits engineers with a strong technical background who enjoy building customer-focused solutions and collaborating across disciplines. Effective communication, a focus on delivering repeatable value, and a drive to solve practical challenges are essential. Clearance Requirement An active Secret clearance is required for this position.
Full-time|$200K/yr - $250K/yr|Remote|Austin, Texas or Remote
Innovate, Deploy, and Sustain AI Solutions for a Dynamic EnvironmentAt Striveworks, we empower organizations to leverage artificial intelligence to address pressing national security and business challenges. Serving as the pivotal hub connecting data, models, and impactful business results, we simplify the journey from deployment to continuous optimization.With Striveworks, companies are not merely implementing AI; they are developing robust systems that are trustworthy, versatile, and primed for growth in an unpredictable landscape. We understand that mission-critical operations demand models that not only excel in their deployed environments but also scale with increasing workloads and swiftly adapt as AI technologies evolve. Striveworks addresses these requirements, enhancing reliability and performance while reducing costs, thus fostering informed, data-driven decision-making in fast-paced settings.The OpportunityAs a Staff Machine Learning Engineer at Striveworks, you will be entrusted from day one to play a pivotal role and serve as a technical leader directly engaging with customers on key projects and the company’s strategic direction. Your mission-critical tasks will include designing AI-driven solutions, implementing them—from data preparation and ingestion through analysis to user delivery—and shaping future platform capabilities.You are an ideal candidate if you have a strong technical foundation and a desire to push your limits. Your enthusiasm for utilizing both software engineering and data science to tackle real-world issues is paramount. You should comfortably lead a team while directly executing vital components of the project and articulating the vision and results to customers.Your daily responsibilities will encompass:Collaborating with customers, engineers, and stakeholders to establish clear requirements that address customer challenges and exploit our AI operations platform's capabilities.Converting requirements into a technical approach, comprehensive design, scoping estimate, and execution strategy.Leading project teams to ensure timely delivery of project outcomes aligned with customer business objectives while making significant individual contributions throughout the process.Designing, orchestrating, and automating sophisticated data pipelines and algorithms within contemporary architectures (cloud, event-driven, microservices, etc.).Steering the creation of machine learning models and specialized analytics applied to image, video, text, geospatial, time series, and structured data.Identifying insights, opportunities, challenges, and feedback to enhance team practices and capture reusable functionality.
Avride develops autonomous vehicles and delivery robots across the United States, building and operating both autonomous cars and delivery robots with shared core technologies. The company focuses on advancing both fields together through integrated research and engineering. Internship overview The Machine Learning Engineer Internship in Austin, TX offers hands-on work with real driving data and exposure to advanced academic research. Interns join the Perception team, which interprets raw sensor data, including cameras, LiDAR, and microphones, to construct a detailed, real-time 3D view of the environment for autonomous vehicles. Each intern works directly with a senior mentor and contributes to projects that influence the safety and performance of Avride’s systems. The internship bridges theory and practice: interns help turn new concepts and system architectures into working prototypes, then assess their effectiveness in complex, safety-critical scenarios. What you will do Four distinct internships are available within the Perception team for Summer 2026. Projects focus on 3D perception and sensor fusion challenges in autonomous driving. Long-Tail 3D Entity Recognition via Pre-Trained 2D Models Lead efforts to address long-tail entity recognition, a persistent challenge in autonomous driving, by exploring how pre-trained, open-source 2D models can enhance 3D recognition tasks. Design and run simulation-based experiments to test whether models can identify rare or infrequent objects while maintaining precision. Work closely with a mentor to prototype and refine methods for integrating 2D model features into Avride’s perception stack. Present findings, including recall and precision trade-offs, and simulation methodologies, to Avride’s research and engineering teams at the conclusion of the internship. RGB-Only 3D Perception & RGB-LiDAR Fusion Take ownership of a targeted research project aimed at improving 3D perception by reviewing current literature on RGB-only approaches and developing hypotheses to advance sensor fusion techniques.
Role overview 9-mothers seeks a Staff Perception Engineer based in Austin. This senior role centers on advancing perception technologies across the company’s products. The team brings together engineers and scientists who turn ambitious concepts into working solutions. What you will do Develop and improve perception systems for both new and existing products Collaborate with engineering and scientific colleagues to address complex technical problems Apply deep expertise to influence product direction and enhance user experience Impact Work in this role directly shapes how users engage with 9-mothers technology and supports the company’s growth. The team values close collaboration and a high standard of technical work.
About Us:At Terminal Industries, we specialize in developing cutting-edge software solutions that digitize, index, and automate yard operations. Our platform harnesses state-of-the-art AI and machine learning technologies to empower warehouse operators with the insights necessary to enhance the efficiency of their critical assets, including trucks, trailers, chassis, containers, and personnel. By tackling prevalent industry challenges such as compliance issues, manual workflows, asset tracking, hidden costs, and workforce inefficiencies, we aim to establish Terminal as the essential hub for yard management, seamlessly integrating various data sources to support a wide array of vital functions.Overview:Joining our elite vision engineering team means contributing to an innovative engine designed to process the movement of trucks and containers in real-time. As an Edge Vision Systems Engineer, you will play a pivotal role in unlocking the full potential of our technology by creating SaaS applications that leverage our advanced vision engine to revolutionize the logistics sector.In this role, you will be responsible for designing and deploying edge-based computer vision platforms that integrate embedded Linux software, GPU inference hardware, network cameras, and comprehensive connectivity infrastructure. You will oversee the entire development cycle from prototype to production, crafting reliable edge systems on Jetson-class hardware that captures video from network cameras and supports downstream computer vision pipelines.While this position is primarily software-focused, a robust practical understanding of hardware systems and real-world deployment challenges is essential. Your responsibilities will encompass embedded Linux development, device provisioning, networking integration, as well as power and thermal management considerations. Collaboration with engineering and site implementation teams will be key as you work on early prototypes and deployment-ready systems.
Who is SonarSource?At SonarSource, we are dedicated to enhancing code quality and security while boosting developer productivity through innovative AI solutions. Our platform examines all code—whether it's authored by your internal team, generated by AI, or supplied by third parties—ensuring the creation of secure, reliable, and maintainable applications. With roots in the open source community, SonarSource supports over 30 programming languages, frameworks, and infrastructure technologies. Over 7 million developers and 400,000 organizations globally, including prominent names like the DoD, Microsoft, NASA, MasterCard, Siemens, and T-Mobile, trust our solutions.We pride ourselves on building exceptional products backed by a strong internal culture. Our team is deeply committed and passionate about our mission, our users, and each other. We uphold high standards, holding ourselves accountable for positivity, dedication, thoughtfulness, empathy, and daily passion.Our decision-making is deliberate and clear, yet we operate with a sense of urgency and agility.As a unified team, we strive for effectiveness and operational efficiency in achieving our goals.At SonarSource, CODE is not just an acronym — it embodies our operational ethos.Why You Should Join Us:We are a vibrant team of talented professionals determined to empower developers to create better software more efficiently. Our solutions continuously enhance code quality and security, alleviating developer burdens, allowing them to focus on their passions. We address root causes rather than just symptoms, ensuring high-quality output across all types of code.Our dynamic culture spans the globe with offices in the USA, Switzerland, the UK, Singapore, and Germany. We foster an environment where every team member feels proud of their work, energized by their colleagues, and excited to contribute to a mission that truly matters: supercharging developers.Your Impact:As a key technical architect, you will guide our strategic enterprise clients and partners in implementing and deploying our machine learning solutions. As one of the pioneering Forward Deployed ML Engineers, you will play a crucial role in shaping our ML offerings for organizations focused on quality, security, and operational excellence.
Join Our Innovative TeamAt avride, we are at the forefront of revolutionizing transportation through our cutting-edge autonomous vehicle technology. Our dedicated team is responsible for creating the essential software and data processing frameworks that enable motion planning and decision-making in self-driving cars. We thrive at the crossroads of machine learning, extensive data infrastructure, and real-time vehicle control, collaborating closely with engineering, analytics, and product teams to provide safe and intelligent driving solutions.Position OverviewWe are seeking a passionate and innovative Machine Learning Engineer to join our autonomous vehicle division. In this pivotal role, you will contribute to the development of intelligent systems capable of comprehending, predicting, and safely navigating the complexities of the real world. Your responsibilities will encompass designing and training advanced deep learning models that serve as the cognitive core of our vehicles, utilizing vast amounts of real-world driving data. If you have a keen interest in leveraging state-of-the-art ML techniques to tackle high-stakes robotics challenges, we encourage you to apply.Key ResponsibilitiesDevelop, train, and implement advanced machine learning models for behavioral prediction and motion planning.Create efficient data pipelines to process, cleanse, and annotate large-scale vehicle sensor and simulation datasets.Utilize deep learning architectures such as transformers to capture intricate temporal interactions among traffic participants.Define and manage metrics for model performance, establishing evaluation frameworks that align with on-road safety and efficacy.Collaborate with software engineers to integrate and optimize trained models for real-time inference on vehicle hardware.Keep abreast of the latest advancements in machine learning, imitation learning, and reinforcement learning, applying innovative methodologies to our systems.QualificationsExpertise in Python with practical experience in modern deep learning frameworks (e.g., PyTorch, TensorFlow, or JAX).Strong grasp of machine learning principles, including various neural network architectures, training techniques, and evaluation methods.Experience across the complete machine learning lifecycle, from data exploration and model prototyping to deployment and monitoring.Proficient in C++ for developing high-performance inference code for models.Preferred QualificationsDemonstrated success in ML competitions (e.g., Kaggle) or significant contributions to prominent open-source ML projects.Experience applying machine learning to real-world problems in robotics or autonomous systems.
Join Bumble Inc. as a Senior Machine Learning Engineer and contribute to our mission of creating meaningful connections. In this role, you will design, develop, and implement machine learning algorithms that enhance user experience and drive innovation. You will collaborate with cross-functional teams to deliver data-driven solutions and improve our platform's performance.
Join Our Team as a Computer Vision & Machine Learning Engineer for Autonomous Anti-Drone Systems Company Overview: At Allen Control Systems (ACS), we are redefining defense technology as a pioneering startup founded by two former Navy electrical engineers with extensive expertise in robotics and software development. We are at the forefront of creating a compact, autonomous gun turret equipped with cutting-edge computer vision and control systems designed to accurately identify and neutralize small drones and loitering munitions. Our mission involves tackling complex technical challenges, offering a thrilling and dynamic atmosphere for skilled engineers. With a culture that prioritizes engineering excellence and innovation, ACS is driven by the founders' successful exits from two prior ventures, yielding a combined $180M in 2022. We are dedicated to developing transformative technologies that will have a meaningful impact in the real world.
Join Our Team as a Junior Computer Vision & Machine Learning Engineer for Autonomous Anti-Drone Systems! About Allen Control Systems: Allen Control Systems (ACS) is an innovative defense startup founded by two former Navy electrical engineers renowned for their expertise in robotics and software development. We are at the forefront of creating a compact, autonomous gun turret that utilizes state-of-the-art computer vision and control systems to accurately identify and neutralize small drones and loitering munitions. Our pioneering approach presents exciting technical challenges, making ACS a vibrant workplace for aspiring engineers. With a strong engineering-driven culture, ACS prioritizes technical excellence and creativity. Our founders have successfully exited from two previous ventures, collectively worth $180 million in 2022, and we are dedicated to ensuring that the groundbreaking technologies we create will make a significant real-world impact. Your Role: Develop and optimize computer vision algorithms for our autonomous gun turret, focusing on real-time detection, tracking, and classification of drones. Design and implement machine learning models capable of functioning in resource-constrained environments while ensuring high accuracy and reliability. Collaborate with electrical engineers to seamlessly integrate computer vision systems into the turret's hardware architecture. Conduct rigorous testing and validation of computer vision algorithms across various scenarios to ensure robustness and performance under diverse environmental conditions. Contribute to the enhancement of the prototype turret into a military-grade system and assist in developing variants for different weapon systems and engagement ranges.
Join Our Team as a Staff Engineer in Computer Vision & Machine Learning for Autonomous Anti-Drone Systems Company Overview: Allen Control Systems (ACS) is an innovative defense startup founded by two former Navy electrical engineers renowned for their expertise in robotics and software development. We are at the forefront of creating a compact, autonomous gun turret that utilizes state-of-the-art computer vision and control technologies to accurately target and neutralize small drones and loitering munitions. Our ambitious mission presents numerous technical challenges, providing a thrilling and fast-paced environment for seasoned engineers. ACS fosters an engineering-driven culture that prioritizes technical excellence and innovation. Supported by our founders' successful exits from two previous ventures totaling $180M in 2022, we are dedicated to ensuring that our pioneering technologies will make a significant impact in the real world.
LocationOn-site — Austin, TXEmployment TypeFull-TimeJob TitleComputer Vision Engineer (Junior, Senior, Lead/Principal)Company OverviewJoin 9-mothers, a dynamic and well-funded startup pioneering the development of autonomous machines for defense applications. Our flagship product is engineered to counteract small, agile FPV suicide drones—often seen in contemporary conflicts like the Russia-Ukraine situation. We pride ourselves on creating systems that demand unparalleled perception and decision-making capabilities. If you are passionate about transforming innovative machine learning technologies into operational solutions, this is the ideal environment for you.Though we currently concentrate on defensive systems, there is exciting potential for future expansions into advanced capabilities.Position SummaryWe are on the lookout for a skilled Computer Vision Engineer to become the “vision” of our autonomous c-sUAS platforms. In this role, you will be responsible for architecting, deploying, and refining the perception pipeline, with a focus on achieving low-latency and high-frame-rate processing to accurately track fast-moving targets.Your expertise should encompass building models and systems from the ground up, transcending the use of existing frameworks. This entails developing bespoke models rather than merely implementing tools like YOLO, showcasing a deep understanding of the complexities within the problem space.Essential DutiesDesign and implement a comprehensive embedded computer vision pipeline using high-performance programming languages such as Python and C++.Employ real-time object detection models (e.g., YOLO) and optimized CNNs to deliver top-tier object detection and tracking performance.Enhance code for low-latency, high-frame-rate efficiency on constrained embedded systems, demonstrating practical experience with NVIDIA Jetson platforms and camera pipelines.Utilize geometric vision principles (calibration, rectification, and 3D geometry) to convert 2D camera images into precise 3D coordinates for fire control and guidance systems.Collaborate closely with robotics and AI teams to ensure that perception data is reliable for autonomous decision-making and effective countermeasure guidance.
Join Us as a Senior Computer Vision & Machine Learning Engineer for Autonomous Anti-Drone Systems!Company Overview:Allen Control Systems (ACS) is an innovative defense startup founded by two experienced former Navy electrical engineers, known for their success in robotics and software development. We are pioneering the creation of a compact, autonomous gun turret equipped with cutting-edge computer vision and control systems designed to accurately identify and neutralize small drones and loitering munitions. Our mission is to address complex technical challenges, providing a stimulating and fast-paced environment for seasoned engineers.At ACS, we prioritize engineering excellence and groundbreaking innovation. Our founders' successful ventures, which led to exits totaling $180 million in 2022, reinforce our commitment to developing technologies that make a meaningful impact in the real world.
Join Skyways as we revolutionize air transportation through cutting-edge autonomous unmanned aerial vehicles (UAVs). With robust support from investors, including a $37M STRATFI contract from the U.S. Air Force, we operate at the forefront of both commercial and defense sectors. Our journey has seen us design, build, and successfully fly aircraft alongside real customers and government partners, and we're now poised to scale our operations toward full production.Situated in Austin, TX, and backed by leading investors including Y Combinator, our team thrives on rapid prototyping and real-world deployment. We actively design, test, and operate our systems in the field, seamlessly integrating our findings into engineering and product strategies. As we expand, we seek innovative builders and leaders eager to take ownership, delve into technical challenges, and contribute to transitioning our aircraft from successful trials to full-scale production.The OpportunityAt Skyways, we're at the cutting edge of autonomous aerial platforms. This isn't merely an engineering position; it’s a pivotal role for a Senior Software Engineer specializing in computer vision and robotics. We’re looking for a talented individual who can significantly impact our technology and drive our growth and revenue.
Special Notice This is a full-time position at webAI in Austin, TX. Employment is not tied to project awards or external funding. Role Overview webAI seeks a Senior Machine Learning Engineer to strengthen its Public Sector work. The focus: building and refining production-ready AI systems designed for secure, distributed environments. This role centers on moving models from prototype to reliable, scalable deployment, supporting government cloud platforms and edge devices, even where connectivity is limited or absent. What You Will Do Design and implement agentic workflows for multi-step reasoning, tool use, and automated decision-making in production systems. Convert research AI models into scalable systems used in real-world applications. Develop adaptive machine learning solutions using LoRA, PEFT, and on-device inference. Work with frameworks like PyTorch, TensorFlow, and Hugging Face Transformers to create, fine-tune, and optimize models. Apply model optimization methods such as quantization, pruning, distillation, and hardware-specific acceleration. Build and manage Retrieval Augmented Generation (RAG) pipelines, including integration with vector databases for contextual retrieval. Collaborate with multi-modal AI systems across computer vision, audio, and natural language processing domains. Improve model performance for distributed and resource-constrained environments, ensuring systems remain dependable under different connectivity scenarios. Requirements Active US Security clearance. At least 4 years of experience in applied AI, machine learning engineering, or production AI systems. Strong proficiency with PyTorch, TensorFlow, or Hugging Face Transformers. Hands-on experience deploying AI models to cloud, edge, and mobile hardware. Expertise in model compression and optimization (quantization, pruning, distillation). Background in building RAG pipelines and integrating vector databases.
Join Bumble Inc. as a Lead Machine Learning Engineer and drive innovation in our cutting-edge technology team. In this pivotal role, you will lead the design and implementation of machine learning algorithms, enhancing user experiences across our platforms. Collaborate with cross-functional teams to translate complex data into actionable insights, while mentoring junior engineers to foster growth and excellence within the team.
Join Avride as a Machine Learning Platform Engineer, where you will be at the forefront of developing cutting-edge machine learning solutions. In this pivotal role, you will collaborate with data scientists and software engineers to build robust ML infrastructure, driving innovation and efficiency.
Join the innovative team at Allen Control Systems as a CV/ML Platform Engineer, where you will play a crucial role in building and optimizing cutting-edge computer vision and machine learning platforms. You will collaborate with a dynamic group of engineers and data scientists to develop solutions that push the boundaries of technology in our field.
At Bumble, we strive to foster a world where every relationship is both healthy and equitable. As an integral member of our AI & Matching team, you will be at the forefront of revolutionizing how millions of individuals connect, cultivate friendships, and discover meaningful relationships. Reporting directly to our SVP of AI & Data, your contributions will be pivotal in enhancing intelligent systems that provide safe, personalized, and engaging user experiences across all our platforms. In this influential individual contributor role, your work will tangibly influence product strategies, user trust, and large-scale business outcomes. You will operate with a profound sense of ownership and curiosity, advocating for innovative machine learning methodologies while exemplifying Bumble's core values of Curiosity and Excellence. From reimagining recommendation systems to integrating responsible AI standards, your efforts will help us push boundaries while remaining respectful of our global community. AI is central to our product evolution and internal capabilities. In this position, you will not only develop and scale advanced machine learning models, but also influence how AI is thoughtfully and responsibly implemented throughout the organization.
Join our innovative team at Allen Control Systems as a Machine Learning Data Engineer. In this pivotal role, you will leverage your expertise in machine learning, data processing, and engineering to design and implement data pipelines and algorithms that enhance our data-driven initiatives. You will collaborate closely with data scientists and software engineers to deliver cutting-edge solutions that drive business insights and efficiencies.
Full-time|$160K/yr - $200K/yr|Remote|Austin, Texas or Remote
About Striveworks Striveworks helps organizations use artificial intelligence to solve real-world problems, especially in national security. Founded by data scientists and engineers, the company focuses on making AI deployment and ongoing optimization simpler and more reliable. Striveworks partners with clients to build systems that adapt, scale, and perform well in unpredictable situations, supporting critical operations and informed decision-making. Role Overview: Senior Machine Learning Engineer The Senior Machine Learning Engineer will take on a key position, contributing to both customer projects and Striveworks’ core product suite. This role involves working with the Chariot AIOps platform to create solutions that bridge data, models, and operational needs. Collaboration is central: expect to work closely with data scientists, software engineers, and DevOps professionals to turn machine learning models into real operational tools. This position is open to candidates in Austin, Texas or those seeking a remote arrangement. A hybrid option is available for those near the Austin office. Main Responsibilities Work with customers, engineers, and stakeholders to define requirements that align with client needs and leverage the AI operations platform. Develop machine learning models and analytics for various types of data, including images, video, text, geospatial, time series, and structured datasets. Automate and manage complex data engineering and analytics workflows. Contribute to the design and implementation of core product features. Participate in mission-critical fieldwork as opportunities arise. Who Thrives Here This role suits engineers with a strong technical background who enjoy building customer-focused solutions and collaborating across disciplines. Effective communication, a focus on delivering repeatable value, and a drive to solve practical challenges are essential. Clearance Requirement An active Secret clearance is required for this position.
Full-time|$200K/yr - $250K/yr|Remote|Austin, Texas or Remote
Innovate, Deploy, and Sustain AI Solutions for a Dynamic EnvironmentAt Striveworks, we empower organizations to leverage artificial intelligence to address pressing national security and business challenges. Serving as the pivotal hub connecting data, models, and impactful business results, we simplify the journey from deployment to continuous optimization.With Striveworks, companies are not merely implementing AI; they are developing robust systems that are trustworthy, versatile, and primed for growth in an unpredictable landscape. We understand that mission-critical operations demand models that not only excel in their deployed environments but also scale with increasing workloads and swiftly adapt as AI technologies evolve. Striveworks addresses these requirements, enhancing reliability and performance while reducing costs, thus fostering informed, data-driven decision-making in fast-paced settings.The OpportunityAs a Staff Machine Learning Engineer at Striveworks, you will be entrusted from day one to play a pivotal role and serve as a technical leader directly engaging with customers on key projects and the company’s strategic direction. Your mission-critical tasks will include designing AI-driven solutions, implementing them—from data preparation and ingestion through analysis to user delivery—and shaping future platform capabilities.You are an ideal candidate if you have a strong technical foundation and a desire to push your limits. Your enthusiasm for utilizing both software engineering and data science to tackle real-world issues is paramount. You should comfortably lead a team while directly executing vital components of the project and articulating the vision and results to customers.Your daily responsibilities will encompass:Collaborating with customers, engineers, and stakeholders to establish clear requirements that address customer challenges and exploit our AI operations platform's capabilities.Converting requirements into a technical approach, comprehensive design, scoping estimate, and execution strategy.Leading project teams to ensure timely delivery of project outcomes aligned with customer business objectives while making significant individual contributions throughout the process.Designing, orchestrating, and automating sophisticated data pipelines and algorithms within contemporary architectures (cloud, event-driven, microservices, etc.).Steering the creation of machine learning models and specialized analytics applied to image, video, text, geospatial, time series, and structured data.Identifying insights, opportunities, challenges, and feedback to enhance team practices and capture reusable functionality.
Avride develops autonomous vehicles and delivery robots across the United States, building and operating both autonomous cars and delivery robots with shared core technologies. The company focuses on advancing both fields together through integrated research and engineering. Internship overview The Machine Learning Engineer Internship in Austin, TX offers hands-on work with real driving data and exposure to advanced academic research. Interns join the Perception team, which interprets raw sensor data, including cameras, LiDAR, and microphones, to construct a detailed, real-time 3D view of the environment for autonomous vehicles. Each intern works directly with a senior mentor and contributes to projects that influence the safety and performance of Avride’s systems. The internship bridges theory and practice: interns help turn new concepts and system architectures into working prototypes, then assess their effectiveness in complex, safety-critical scenarios. What you will do Four distinct internships are available within the Perception team for Summer 2026. Projects focus on 3D perception and sensor fusion challenges in autonomous driving. Long-Tail 3D Entity Recognition via Pre-Trained 2D Models Lead efforts to address long-tail entity recognition, a persistent challenge in autonomous driving, by exploring how pre-trained, open-source 2D models can enhance 3D recognition tasks. Design and run simulation-based experiments to test whether models can identify rare or infrequent objects while maintaining precision. Work closely with a mentor to prototype and refine methods for integrating 2D model features into Avride’s perception stack. Present findings, including recall and precision trade-offs, and simulation methodologies, to Avride’s research and engineering teams at the conclusion of the internship. RGB-Only 3D Perception & RGB-LiDAR Fusion Take ownership of a targeted research project aimed at improving 3D perception by reviewing current literature on RGB-only approaches and developing hypotheses to advance sensor fusion techniques.
Role overview 9-mothers seeks a Staff Perception Engineer based in Austin. This senior role centers on advancing perception technologies across the company’s products. The team brings together engineers and scientists who turn ambitious concepts into working solutions. What you will do Develop and improve perception systems for both new and existing products Collaborate with engineering and scientific colleagues to address complex technical problems Apply deep expertise to influence product direction and enhance user experience Impact Work in this role directly shapes how users engage with 9-mothers technology and supports the company’s growth. The team values close collaboration and a high standard of technical work.
About Us:At Terminal Industries, we specialize in developing cutting-edge software solutions that digitize, index, and automate yard operations. Our platform harnesses state-of-the-art AI and machine learning technologies to empower warehouse operators with the insights necessary to enhance the efficiency of their critical assets, including trucks, trailers, chassis, containers, and personnel. By tackling prevalent industry challenges such as compliance issues, manual workflows, asset tracking, hidden costs, and workforce inefficiencies, we aim to establish Terminal as the essential hub for yard management, seamlessly integrating various data sources to support a wide array of vital functions.Overview:Joining our elite vision engineering team means contributing to an innovative engine designed to process the movement of trucks and containers in real-time. As an Edge Vision Systems Engineer, you will play a pivotal role in unlocking the full potential of our technology by creating SaaS applications that leverage our advanced vision engine to revolutionize the logistics sector.In this role, you will be responsible for designing and deploying edge-based computer vision platforms that integrate embedded Linux software, GPU inference hardware, network cameras, and comprehensive connectivity infrastructure. You will oversee the entire development cycle from prototype to production, crafting reliable edge systems on Jetson-class hardware that captures video from network cameras and supports downstream computer vision pipelines.While this position is primarily software-focused, a robust practical understanding of hardware systems and real-world deployment challenges is essential. Your responsibilities will encompass embedded Linux development, device provisioning, networking integration, as well as power and thermal management considerations. Collaboration with engineering and site implementation teams will be key as you work on early prototypes and deployment-ready systems.
Who is SonarSource?At SonarSource, we are dedicated to enhancing code quality and security while boosting developer productivity through innovative AI solutions. Our platform examines all code—whether it's authored by your internal team, generated by AI, or supplied by third parties—ensuring the creation of secure, reliable, and maintainable applications. With roots in the open source community, SonarSource supports over 30 programming languages, frameworks, and infrastructure technologies. Over 7 million developers and 400,000 organizations globally, including prominent names like the DoD, Microsoft, NASA, MasterCard, Siemens, and T-Mobile, trust our solutions.We pride ourselves on building exceptional products backed by a strong internal culture. Our team is deeply committed and passionate about our mission, our users, and each other. We uphold high standards, holding ourselves accountable for positivity, dedication, thoughtfulness, empathy, and daily passion.Our decision-making is deliberate and clear, yet we operate with a sense of urgency and agility.As a unified team, we strive for effectiveness and operational efficiency in achieving our goals.At SonarSource, CODE is not just an acronym — it embodies our operational ethos.Why You Should Join Us:We are a vibrant team of talented professionals determined to empower developers to create better software more efficiently. Our solutions continuously enhance code quality and security, alleviating developer burdens, allowing them to focus on their passions. We address root causes rather than just symptoms, ensuring high-quality output across all types of code.Our dynamic culture spans the globe with offices in the USA, Switzerland, the UK, Singapore, and Germany. We foster an environment where every team member feels proud of their work, energized by their colleagues, and excited to contribute to a mission that truly matters: supercharging developers.Your Impact:As a key technical architect, you will guide our strategic enterprise clients and partners in implementing and deploying our machine learning solutions. As one of the pioneering Forward Deployed ML Engineers, you will play a crucial role in shaping our ML offerings for organizations focused on quality, security, and operational excellence.
Join Our Innovative TeamAt avride, we are at the forefront of revolutionizing transportation through our cutting-edge autonomous vehicle technology. Our dedicated team is responsible for creating the essential software and data processing frameworks that enable motion planning and decision-making in self-driving cars. We thrive at the crossroads of machine learning, extensive data infrastructure, and real-time vehicle control, collaborating closely with engineering, analytics, and product teams to provide safe and intelligent driving solutions.Position OverviewWe are seeking a passionate and innovative Machine Learning Engineer to join our autonomous vehicle division. In this pivotal role, you will contribute to the development of intelligent systems capable of comprehending, predicting, and safely navigating the complexities of the real world. Your responsibilities will encompass designing and training advanced deep learning models that serve as the cognitive core of our vehicles, utilizing vast amounts of real-world driving data. If you have a keen interest in leveraging state-of-the-art ML techniques to tackle high-stakes robotics challenges, we encourage you to apply.Key ResponsibilitiesDevelop, train, and implement advanced machine learning models for behavioral prediction and motion planning.Create efficient data pipelines to process, cleanse, and annotate large-scale vehicle sensor and simulation datasets.Utilize deep learning architectures such as transformers to capture intricate temporal interactions among traffic participants.Define and manage metrics for model performance, establishing evaluation frameworks that align with on-road safety and efficacy.Collaborate with software engineers to integrate and optimize trained models for real-time inference on vehicle hardware.Keep abreast of the latest advancements in machine learning, imitation learning, and reinforcement learning, applying innovative methodologies to our systems.QualificationsExpertise in Python with practical experience in modern deep learning frameworks (e.g., PyTorch, TensorFlow, or JAX).Strong grasp of machine learning principles, including various neural network architectures, training techniques, and evaluation methods.Experience across the complete machine learning lifecycle, from data exploration and model prototyping to deployment and monitoring.Proficient in C++ for developing high-performance inference code for models.Preferred QualificationsDemonstrated success in ML competitions (e.g., Kaggle) or significant contributions to prominent open-source ML projects.Experience applying machine learning to real-world problems in robotics or autonomous systems.
Join Bumble Inc. as a Senior Machine Learning Engineer and contribute to our mission of creating meaningful connections. In this role, you will design, develop, and implement machine learning algorithms that enhance user experience and drive innovation. You will collaborate with cross-functional teams to deliver data-driven solutions and improve our platform's performance.
Apr 9, 2026
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