Forward Deployed Engineer, Machine Learning

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.

Transform the future of transportation with us. Join a team where innovation knows no bounds and your contributions directly impact millions.What to ExpectAt examplecorpsandbox, we are seeking talented Machine Learning Engineers to develop foundational models for robotics, driving the next generation of autonomous vehicles. You will be part of a dynamic team, gaining access to one of the largest training clusters globally. Your work will be at the forefront of technology, directly influencing the driving experiences of millions.What You’ll DoUtilize extensive driving data and interventions to create a robust, scalable end-to-end learning system for self-driving technology.Implement advanced techniques such as generative modeling, imitation learning, and reinforcement learning to enhance our driving models’ planning and reasoning abilities.Experiment with innovative data generation and fleet collection methods to improve the diversity and quality of training datasets.Directly interface with vehicle firmware, delivering production-quality, safety-critical software to Tesla's entire fleet.What You’ll BringProficient in Python, along with experience in major deep learning frameworks and adherence to software engineering best practices.Comprehensive understanding of modern deep learning architectures, optimization techniques, and model alignment.Demonstrated experience in deploying production ML models for self-driving, robotics, or natural language processing at scale.Familiarity with C++ to facilitate integration with vehicle firmware, transforming concepts into tangible products.Compensation and BenefitsCompetitive salary and benefits as a full-time employee, including health coverage, retirement plans, and opportunities for professional growth.

This is where your organization can create a consistent intro to all of your jobs, creating consistency in voice and messaging across all job postsC'est ici que votre organisation peut créer une introduction cohérente à tous vos emplois, en créant une cohérence dans la voix et la messagerie dans tous les postes.What to ExpectJoin Tesla as an Autonomous Systems Engineer specializing in Motion Planning, where your expertise will contribute to the evolution of robotics and self-driving technologies that will shape the future of mobility. Be a part of a dynamic team that operates without boundaries, utilizing one of the largest training clusters globally. Your contributions will directly impact millions of Tesla customers as you see your innovations deployed in real-world applications.What You’ll DoUtilize extensive driving data and interventions to develop a robust and scalable end-to-end self-driving system.Implement state-of-the-art techniques in generative modeling, imitation learning, and reinforcement learning to enhance the planning and reasoning capabilities of our driving models.Explore data generation methodologies and fleet data collection strategies to improve the diversity and quality of training datasets.Collaborate closely with vehicle firmware to deliver high-quality, safety-critical software across Tesla's entire vehicle fleet.What You’ll BringStrong proficiency in Python and familiarity with major deep learning frameworks, alongside a solid understanding of software engineering best practices.Comprehensive knowledge of contemporary deep learning architectures, optimization techniques, and model alignment.Demonstrated experience in deploying production-scale machine learning models for applications in self-driving, robotics, or natural language processing.Proficiency in C++ to facilitate integration with vehicle firmware and transform concepts into market-ready products.Compensation and BenefitsBenefitsAs a full-time employee at Tesla, you will receive competitive compensation along with a comprehensive benefits package designed to support your health, wellness, and financial security.

Join Our TeamAt avride, we are at the forefront of innovation in autonomous vehicle technology. Our dedicated team is responsible for developing the essential software and data processing systems that enable motion planning and decision-making. By combining machine learning, robust data infrastructure, and real-time vehicle control, we collaborate across various engineering, analytics, and product teams to ensure safe and intelligent driving capabilities.Position OverviewWe are on the lookout for a talented C++ Software Engineer to enhance our Motion Planning team. In this role, you will play a crucial part in crafting the decision-making algorithms that empower our autonomous vehicles to navigate real-world complexities with safety and efficiency. If you thrive on tackling challenging algorithmic issues and are passionate about writing high-performance code, this opportunity is tailored for you.Key ResponsibilitiesDesign, implement, and refine state-of-the-art motion planning algorithms using modern C++ (C++17/20).Create robust solutions for trajectory generation, pathfinding, and behavioral decision-making in dynamic environments.Utilize simulation, log playback, and on-vehicle testing data to analyze and debug system performance.Collaborate with engineers from Perception, Prediction, and Control teams to develop a cohesive and dependable self-driving system.Produce clean, maintainable, and optimized production-quality code.Profile and enhance algorithms to adhere to real-time performance standards.

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.

At TerraFirma, we’re transforming the way earth is moved for construction purposes. Established by former engineers from SpaceX and supported by Bain Capital Ventures, we are on a mission to automate construction, making it more efficient, cost-effective, and safer.Our Vision & MissionAt SpaceX, we contributed to groundbreaking projects, including the creation of the largest rocket in history, the launch of an unparalleled constellation of satellites, and the delivery of connectivity to millions globally. Our key takeaway: infrastructure is paramount.During our time at Starbase, we discovered that the primary challenge to Mars missions was not the rocket itself, but the slow, costly, and complex nature of establishing the necessary infrastructure. The lack of essential facilities, such as buildings, roads, water supply, and power, significantly delayed progress.Through a first-principles approach, we realized that building infrastructure should not be this arduous or expensive. We harnessed the engineering principles that propelled space exploration and mass manufacturing to revolutionize construction. By applying simplification, iteration, acceleration, and automation, we aim to usher in a new era of construction practices.Enhancing infrastructure accelerates progress across various fields, creating a robust engine to address humanity’s greatest challenges. The innovations we devise on Earth will pave the way for future technologies that could facilitate human settlement on Mars.Job OverviewIn this role, you will be responsible for the design and implementation of algorithms that enable heavy machinery to execute intricate tasks with sophisticated automation in unpredictable environments. Your work will encompass state estimation, motion and trajectory planning, and control, transitioning concepts from simulation to tangible applications on large robotic platforms. You will develop systems that integrate data from various sensors, optimize movements on demanding job sites, and ensure reliable execution under real-time constraints.Key ResponsibilitiesState Estimation & Sensor Fusion – Develop, implement, and deploy real-time estimation pipelines that are resilient to sensor noise, vibration, and bias.Motion / Trajectory / Path Planning – Design high-level planners and low-level controllers that prioritize safety, efficiency, and task completion.

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.

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.

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.

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.

Upwork Inc. connects businesses with skilled professionals in AI, machine learning, software development, sales, marketing, customer support, finance, and accounting. The company’s platforms, including the Upwork Marketplace and Lifted, help organizations of all sizes find and manage freelance, fractional, and payrolled talent for a range of contingent work needs. Upwork supports both large enterprises and entrepreneurs in sourcing talent and implementing AI-driven solutions. The company’s network covers more than 10,000 skills, enabling clients to scale and adapt their workforce for changing business demands. Since launch, Upwork has processed over $30 billion in transactions. The company’s mission centers on expanding opportunities at every stage of work. Learn more Visit the Upwork Marketplace: upwork.com Learn about Lifted: go-lifted.com Connect on LinkedIn, Facebook, Instagram, TikTok, and X Follow Lifted on LinkedIn

About Our TeamAVRIDE is at the forefront of autonomous driving technology, dedicated to transforming transportation into a safer and more efficient experience. We are uniquely positioned in the market, pioneering self-driving taxis and delivery robots, with our delivery robot division already operational in the United States and Japan. Our team comprises exceptionally skilled engineers with extensive expertise, and joining us offers the opportunity to thrive in a dynamic startup environment while making a significant impact on the autonomous vehicle industry.About the PositionAs a Lead Senior Software Developer at AVRIDE, you will spearhead the creation of trajectory planning algorithms for our autonomous vehicles, ensuring seamless integration and optimal performance in real-world scenarios. Collaborating across teams, you will influence technical decisions that contribute to the development of safe and intelligent driving behavior.

Who We AreAt Arrive Logistics, we are a premier transportation and technology firm in North America, dedicated to substantial growth year after year. Our achievements reflect the strength of our exceptional team and the innovative solutions we are developing together. We prioritize delivering a meaningful work experience for our employees and have cultivated an award-winning culture that encourages personal and professional development within a fun, relaxed, and collaborative atmosphere. Now is the perfect time to join us, so read on to discover more and apply today!Who We SeekAs a Senior Machine Learning Operations Engineer at Arrive, you will play a pivotal role as a technical leader, responsible for defining, advancing, and executing our comprehensive machine learning platform strategy. This position involves driving and contributing to the quality and functionality of critical roadmap projects, which may include deploying models at scale and creating ML-powered services aimed at optimizing profitability.

About the TeamAt Avride, we are pioneering the future of transportation through our groundbreaking autonomous vehicle and delivery robot technology. Following the successful launch of our robotaxi service in Dallas, we are on a mission to accelerate innovation and transform mobility as we know it.Our dedicated team is at the forefront of building self-driving solutions from scratch, with machine learning as the cornerstone of our development process, enabling safe and intelligent navigation. We create and deploy cutting-edge models to tackle the significant challenges in autonomous systems, utilizing advanced deep learning architectures like Convolutional Neural Networks (CNNs), Transformers, and Multimodal Large Language Models (MLLMs). Your contributions will be vital in enhancing the performance, safety, and reliability of Avride's autonomous vehicles and delivery robots.