Junior Computer Vision & Machine Learning Engineer

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.

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.

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 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.

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.

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.

Role Overview Bumble Inc. is hiring a Staff Machine Learning Engineer in Austin, Texas. This role focuses on building and refining machine learning algorithms that support Bumble’s AI-powered products. The work directly impacts user experience and engagement across the platform. What You Will Do Design and implement machine learning models for real-world product features Optimize algorithms to improve performance and user outcomes Work with teams across engineering, product, and data to identify new opportunities for applying machine learning Translate data insights into practical solutions that shape product direction Collaboration This position partners closely with colleagues from different functions, bringing together technical expertise and business perspective to drive innovation on the Bumble platform.

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.

About Us: At webAI, we are pioneering the first comprehensive private AI platform tailored for enterprises and governments, enabling them to harness AI capabilities directly on their data. Our unique approach to artificial intelligence emphasizes specialization, sovereignty, efficiency, and sustainability, addressing real-world challenges rather than simply increasing computational demands. Our innovative technology empowers the creation of robust AI systems using minimal data, defying the conventional belief that vast datasets are essential for unlocking AI's potential. Join us to be part of a rapidly expanding team that values a dynamic and growth-focused work environment, where your contributions can lead to meaningful advancements for society.About the Role: We are in search of a highly skilled Senior Staff Machine Learning Engineer specializing in Large Language Models (LLMs) and Mixture of Experts (MoEs). The ideal candidate will possess a solid history of developing and successfully deploying cutting-edge AI models.Responsibilities: Drive the advancement and refinement of Large Language Models and Mixture of Experts systems.Collaborate effectively with interdisciplinary teams to embed machine learning models into our platform.Engage in pioneering research within the machine learning domain, focusing on enhancing the performance and efficiency of LLMs.Keep updated with the latest trends and breakthroughs in AI and machine learning, applying insights to enhance our models and practices.Mentor junior engineers, fostering knowledge sharing and promoting best practices within the team.Qualifications: Ph.D. or advanced degree in Computer Science or a related discipline.Established track record of innovation and contributions to the field, evidenced by publications or substantial industry experience.A minimum of 6 years of hands-on experience in machine learning, with specialized knowledge in Large Language Models and Mixture of Experts.Proficient programming skills in Python along with experience using machine learning frameworks such as TensorFlow and/or PyTorch.Proven ability to lead complex projects and collaborate effectively in a team-oriented environment.

Teamwork Makes the Stream Work. Join Roku – Transforming Television ViewingAs the leading TV streaming platform in the U.S., Canada, and Mexico, Roku is on a mission to revolutionize the way the world watches TV. We pioneered streaming to the TV and are dedicated to connecting the entire television ecosystem. By bringing together consumers, content publishers, and advertisers, we create an unmatched viewing experience. From day one, your contributions will be invaluable at Roku, a rapidly growing public company where every team member plays a crucial role. Here, you can delight millions of TV streamers globally while gaining rich experience across various disciplines. About Our Team The Advertising Performance group is dedicated to optimizing performance for all stakeholders in the advertising ecosystem – Advertisers, Publishers, and Roku. Our systems leverage multiple disciplines and cutting-edge technologies to perform real-time multi-objective optimization across large distributed systems with low latency. Utilizing Machine Learning, Reinforcement Learning, AI, Control and Optimization Systems, and Auction Dynamics, we tackle complex challenges. At the heart of our approach is our Machine Learning and Inference Platform that drives our entire operation. About the Role In this pivotal role, you will architect and lead the development of a state-of-the-art Inference platform designed for advertising-level low latencies, scalability, and high throughput. Your efforts will encompass optimizations across hardware, software, and models. We seek a technical leader with extensive experience in ML serving and high-performance computing, who is passionate about mentoring engineers, driving innovation at scale, and shaping the future of machine learning at Roku. What You’ll Be DoingDesign and implement advanced machine learning algorithms for real-time inference.Collaborate with cross-functional teams to optimize performance across various platforms.Mentor and guide junior engineers in machine learning practices.

Company Overview avride builds autonomous vehicles and delivery robots, with machine learning at the core of every product. The team recently launched a robotaxi service in Dallas, and continues to design self-driving solutions from the ground up. Machine learning models, including CNNs, Transformers, and Multimodal Large Language Models, power both on-board and off-board systems, supporting safe, intelligent navigation and efficient operations. Role Overview: Senior / Staff Machine Learning Engineer avride is hiring experienced Machine Learning Engineers at Senior, Staff, and Principal levels in Austin, TX. The team welcomes both strong individual contributors and technical leaders ready to shape the future of autonomous mobility. This role focuses on solving complex challenges in autonomy, from developing deep learning models to managing large-scale datasets and deploying solutions in real-world systems. Senior-level engineers will also help set technical direction, mentor peers, and influence machine learning practices across the company. Main Responsibilities Model Development and Optimization: Design, implement, and improve deep learning models for tasks such as environmental perception and road user behavior prediction. Staff and Principal engineers will set the technical vision for model families and guide architectural choices across teams. Dataset Management: Oversee data collection, preprocessing, and augmentation to maintain high-quality datasets for training and evaluation. Senior engineers will define standards and tools that scale across the organization. Training Pipeline Enhancement: Build efficient workflows for training, validation, and testing. This includes distributed training, hyperparameter tuning, and automated monitoring. Staff and Principal engineers will own the long-term roadmap for training infrastructure. Model Deployment and Efficiency: Optimize inference performance, model compression, and deployment across a range of hardware platforms. Location This position is based in Austin, TX.

Role Overview Striveworks is hiring a Staff Machine Learning Engineer to help shape solutions in machine learning and artificial intelligence. This role works on projects that require an active Secret Clearance, supporting sensitive initiatives where security and compliance matter. What You Will Do Work with a skilled team to design and build machine learning systems Contribute to technology that supports business objectives Apply expertise to projects requiring careful attention to security standards Location This position is based in Austin, Texas, with remote options available. Requirements Active Secret Clearance Experience in machine learning and artificial intelligence

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.

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.