Motional

• Monitor Motional autonomous vehicles (AV) operating on closed courses and public roads • Assist in the AV decision-making with real-world events to ensure safe and efficient paths of travel • Monitor AV camera feed to ensure the cameras and AV are functioning properly • Monitor AV systems to ensure AV and systems are functioning properly • Provide support to AV in real time to assist with direction or safety of travel • Work closely with various engineering teams for system testing and testing of new scenarios • Work closely with design teams to support the development of functions and performance of AV • Interact with AV to resolve tickets and issues through various software and hardware • Reporting of system functionality issues to management in a timely manner • Other duties as assigned

Role Description On Behaviors, you'll have the opportunity to work with world-class ML engineers and research scientists to make self-driving vehicles a reality and create positive social impact. Our team works on the tech stack responsible for understanding highly complex driving scenes and generating safe, comfortable driving trajectories for our robotaxi using the latest deep neural networks. We are looking for engineers who are passionate about Level 5 autonomous driving, excited by intellectual challenges, and interested in pursuing career growth with a fast-growing company. What You’ll Be Doing: - Directly responsible for training, evaluation, and deployment of our ML-based scene understanding, behavior prediction, and planning models. - Designing and executing high value experiments based on collaborative input from other machine learning engineers. - Prototyping and implementing continuously improving metrics to evaluate the performance of our behavioral models across many desired scenarios and robotaxi capabilities. - Timely release of major model updates, including analysis of both off-line and on-road evaluation data. - Staying up to date with the latest trends in our fast-moving industry, and proposing new architectures and network designs based on published literature. - Maintaining a high-quality training and evaluation code-base, including portions of our training stack dedicated to dataset generation and evaluation. Qualifications - In-depth understanding of common Machine Learning and Deep Learning algorithms. - Experience designing, training, and analyzing neural networks for at least one of the following applications: motion planning, object detection, sensor fusion, motion prediction, and/or multi-object tracking. - Strong track record of tackling less well-defined problems, and executing efficiently to deliver the successful outcome. - Advanced knowledge of software engineering principles including software design, source control management, build processes, code reviews, and testing methods. - Experience with PyTorch or other python-based deep learning frameworks. - Experience working with large data sets and deriving insights from data. - Experience mentoring and collaborating with others. Requirements - Masters or PhD in Machine Learning, Computer Science, Applied Mathematics, Statistics, Physics or a related field; or equivalent industry experience. Bonus Points - Publications in relevant conferences (CVPR, ICML, NeurIPS, ICCV, ICL, etc.). - PhD in machine learning, computer vision, or robotics vision. - Experience working on autonomous vehicles or related fields. - Experience in deploying models into real-world environments. - Strong programming skills in C++ and/or CUDA programming. Working Conditions - Frequently required to convey and detect communication. - Occasionally required to remain stationary for up to 50% of working time, move in designated working areas, and operate and use office equipment. - May occasionally move up to 50 pounds. Salary Range $146,000 — $225,000 USD Benefits - Motional’s benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more.

Role Description We are seeking a highly skilled and motivated Senior Data Analysis Engineer for our large-scale AI model and software evaluation framework – Ground Truth Regression. The ideal candidate will have a strong background in data engineering, machine learning principles, and statistical analysis. At Motional, large scale orchestration for data analysis plays a critical role in delivering our ML-centered autonomous driving vehicle. Our robo-taxi ML Models and software are developed by hundreds of developers and deployed multiple times a day. The Ground Truth Regression team provides the large scale perception analysis framework for validating all changes to perception which can impact the autonomous vehicle behavior. The GTRegression team validates the end impact of ML and software changes to the autonomous vehicle while those changes are in development, providing the tools for Root Cause Analysis and safety consideration. We monitor for model errors, anomalies, rare objects & long-tail driving scenarios across thousands of driving hours. The team develops the full stack – AWS Kubernetes orchestration framework, ReSimulation, model metrics, regression reports, and deep dive analysis UIs. The team works together with all other perception and ML teams to develop the metrics and analyze results. What You'll Do: - Work with ML Engineers and Autonomy Software Developers to develop new data analysis metrics and KPIs for the validation of the autonomous vehicle performance. - Drive innovation by researching and developing new large scale data analysis systems. - Own large-scale data analysis workflows that surface unexpected impacts of planned and unplanned changes to the ML models and software. - Build high-quality datasets to improve ML products through training & edge case validation. - Provide statistical depth on model performance & generalization through rigorous error and change analysis. Qualifications - Bachelor's or Master's degree in Computer Science, Data Science, or a related field. - Strong programming skills in Python, SciPy, and related data analysis frameworks. - Experience in machine learning, data mining, and statistical analysis. - Experience with large-scale data processing and distributed computing technologies. - Strong communication and software development skills: goal setting, design documentation, test frameworks, collaborative cross team development. Requirements - Ph.D. in Computer Science or a related field (Bonus Points). - Experience with cloud platforms such as AWS, Google Cloud, or Azure (Bonus Points). - Experience with machine learning in the autonomous driving domain (Bonus Points). - Publications or contributions to the AI/ML community (Bonus Points). Benefits - Motional’s benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more. Salary Range $159,000 — $207,000 USD Company Description Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We’re driven by something more. - Our journey is always people first. - We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. - Our team is made up of engineers, researchers, innovators, dreamers, and doers, who are creating a technology with the potential to transform the way we move. - We’re creating first-of-its-kind technology that will transform transportation. - To do so successfully, we must design for everyone in our cities and on our roads. - We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. - Diversity helps us to see the world differently; it’s not only good for our business, it’s the right thing to do. - Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. - We’re driven to scale; we’re moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges. - Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. - Headquartered in Boston, Motional has operations in the U.S and Asia.

Role Description On our Planning team, you'll apply your passion in robotics and software development for production-ready autonomous vehicles. As the Technical Lead Manager, you will direct a team tasked with the design and implementation of motion planning software for autonomous vehicles. This position requires leadership in defining the motion planning and control systems that enable our fleet to operate securely, effectively, and with passenger comfort in intricate settings. If you are passionate about autonomous driving, thrive on solving challenging real-world problems, and are eager to make a significant impact in a rapidly evolving field, we want to hear from you. - Lead and develop a team within the motion planning organization, assuming responsibility for planning algorithm and constraint generation. - Collaborate with other leaders to provide technical direction, making critical decisions on architectural strategies, strategic resource allocation, operational execution, and technical debt management. - Deliver a robust and scalable planner, prioritizing safety throughout the design, prototyping, testing, deployment, and production phases. - Adopt a metrics-driven approach to the development and enhancement of technical components. - Advance existing planning methodologies to facilitate data-driven strategies. - Promote diversity and inclusion in both products and personnel. - Mentor and offer constructive feedback (technical and professional) to team members, cultivating an inclusive and collaborative work environment. - Demonstrate initiative in generating innovative ideas, formulating a team vision, and considering the holistic robotaxi system. - Implement and review algorithms and code, applying rigorous engineering methodologies. - Partner with project managers to develop roadmaps and execute plans according to schedule. Qualifications - Over two years of experience in the management of a development team, with a demonstrated ability to foster career growth, mentor team members effectively, and enhance productivity. - Masters or PhD in Robotics, Electrical Engineering, Computer Engineering, Computer Science, Mechanical Engineering, or a related field. - Established history of successfully delivering production-quality motion planner in a leadership capacity. - Advanced proficiency in search algorithms. - Experience in developing motion planning solutions with ML. - Expertise in C++ software development, Linux, and Python, with supplementary knowledge of SQL. - Strong theoretical understanding and practical experience in motion planning under conditions of uncertainty, as well as in interactions with dynamic agents and environments. - Knowledge of robotics algorithms in localization, perception, prediction, motion planning, and control systems for autonomous vehicles. - Excellent communication, interpersonal, and management skills. Requirements - Experience in Autonomous Vehicles or other robotics industries. - Experience using simulation tools. - Experience with Verification & Validation for safety critical systems. Benefits - Medical, dental, vision. - 401k with a company match. - Health saving accounts. - Life insurance. - Pet insurance. - Additional forms of compensation may include a bonus or company equity. Salary Range $240,000 — $330,000 USD Company Description Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We’re driven by something more. - Our journey is always people first. - We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. - Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move. - We’re creating first-of-its-kind technology that will transform transportation. - We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. - Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. - Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives.

Role Description We are seeking an experienced and visionary Principle Level Tech Lead Manager to build and lead our new Machine Learning (ML) Acceleration team. This pivotal role will drive the strategy, development, and execution of initiatives aimed at significantly accelerating ML model training. - Build, lead, and manage a high-performing team of ML and infra engineers focused on acceleration. - Provide technical guidance, mentorship, and career development opportunities to team members. - Foster a collaborative and inclusive team environment. - Define team goals, priorities, and roadmap in alignment with company objectives. - Define the technical vision and strategy for ML acceleration across the organization. - Identify and evaluate cutting-edge technologies and methodologies for speeding up ML training. - Design, develop, and implement scalable and efficient ML acceleration solutions. - Collaborate closely with ML research, ML Training platform, and product teams. - Communicate complex technical concepts and strategies to both technical and non-technical stakeholders. - Act as a technical expert and advocate for ML acceleration initiatives across the company. - Regularly measure and report on the impact of acceleration efforts. - Continuously seek opportunities for further optimization and innovation. Qualifications - Bachelor’s degree in Computer Science, a related technical field, or equivalent practical experience. - 8+ years of experience in software engineering, with at least 5+ years focused on Machine Learning systems and model performance optimization. - 3+ years of experience in a technical lead or management role, with a proven track record of building and leading high-performing teams. - Extensive experience with large-scale ML model training and deployment, ideally in a production environment. - Strong understanding of distributed systems and cloud computing platforms (e.g., AWS, GCP, Azure). - Deep expertise in ML frameworks such as PyTorch or JAX. - Proficiency in performance profiling and optimization techniques for Deep Neural Networks. - Strong programming skills in Python; C++ experience is a plus. - Knowledge of MLOps principles and practices. - Exceptional leadership, communication, and interpersonal skills. - Ability to attract, hire, and retain top engineering talent. - Proven ability to drive complex technical projects from conception to completion. - Strong problem-solving skills and a proactive, results-oriented mindset. - Ability to thrive in a fast-paced, dynamic environment. Requirements - The salary range for this role is an estimate based on a wide range of compensation factors. - This role may include additional forms of compensation such as a bonus or company equity. - Candidates for certain positions are eligible to participate in Motional’s benefits program. Benefits - Medical, dental, vision. - 401k with a company match. - Health saving accounts. - Life insurance. - Pet insurance. - And more. Company Description Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We’re driven by something more. - Our journey is always people first. - We believe in building a great place to work through a progressive, global culture that is diverse and inclusive. - Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S. - Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives.

Role Description Motional is seeking a technical expert for its Planning team to define motion planning and control systems for secure, effective, and comfortable fleet operation in complex environments. This role requires expertise in cutting-edge research, advanced algorithm development, and robust software building to generate safe, comfortable, and intuitive routes and motions. We are looking for a robotics and software development enthusiast eager to contribute to production-ready autonomous vehicles. If you possess a passion for autonomous driving, thrive on solving real-world challenges, and aspire to make a significant impact in a rapidly evolving field, we encourage your application. Role Responsibilities: - Lead the research and development of novel algorithms and sub-systems for motion planning in autonomous driving, expanding the Operational Design Domain. - Lead cross-functional projects to define new or upgrade existing interfaces to solve problems. - Monitor overall system performance to identify areas for improvement and develop technical strategies to address deficiencies. - Guide cross-functional project teams to provide comprehensive solutions and demonstrate the ability to think beyond the confines of the planning system. - Architect and integrate complex combinations of motion planning and prediction algorithms, driving their evaluation and refinement for real-world deployment. - Design and build a robust, scalable, and high-performance codebase that facilitates rapid exploration, prototyping, and rigorous evaluation of innovative motion planning approaches and algorithms. - Drive technical collaboration and interface seamlessly with perception and prediction components upstream and trajectory optimization, tracking and control components downstream, ensuring end-to-end system performance. - Leverage your deep software development and research expertise to teach others better software practices and principles, fostering a culture of technical excellence. - Guide and mentor junior and senior team members, cultivating a culture of product-focused engineering, rigorous research, and advanced development. Qualifications - PhD preferred in Robotics, Computer Science, Computer Engineering, Mechanical Engineering, or a related field; or a Master's degree with 7+ years of experience in the robotics (preferably AV industry). - 10+ years of research experience in robotics / motion planning, with a proven track record of contributing to state-of-the-art solutions and leading significant projects. - 5+ years of C++ software development, with an emphasis on developing high-performance and reliable systems. - Past experience owning and leading technical development on complex features from problem formulation through research, implementation, and deployment in a production environment, demonstrating significant impact. - Thirst for knowledge, continuous innovation, and a drive to push the boundaries of autonomous driving technology, acting as a technical thought leader. Requirements - Experience with probabilistic models, including but not limited to Gaussian mixture models, Hidden Markov Models, and Particle Filters. - Experience with machine learning techniques (such as Bayesian modeling and inference techniques) for decision making under uncertainty. - Experience with the Bazel build framework. Benefits - Motional’s benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more. Salary Range $240,000 — $330,000 USD Company Description Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We’re driven by something more. - Our journey is always people first. - We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. - Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move. - We’re creating first-of-its-kind technology that will transform transportation. - We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. - Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. - Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives.

Role Description On our Behaviors team (Prediction and ML Planner), you will have the opportunity to work with world-class ML engineers, whose mission is to make self-driving vehicles a reality and to create a positive social impact. The Behaviors team develops ML models that learn how different agents navigate complex real-world traffic scenarios. We leverage these models to set the behavior of our self-driving vehicle, and predict the behavior of other agents such as vehicles and vulnerable road users. We are looking for proven leaders and technical experts who are passionate about Level 4 autonomous driving technology, excited by intellectual challenges, and interested in pursuing career growth with a fast-growing company. - Define and execute motion planning and prediction projects that improve our self-driving vehicles’ capability to safely, comfortably and legally navigate complex traffic scenarios - Lead, manage and grow a team of engineers - Design and lead the implementation of behavior models that leverage the latest advancements in machine learning, generative AI and reinforcement learning - Productionize and deploy solutions onto autonomous vehicle fleets - Collaborate with perception, simulation, data platform and integration teams to validate and enhance your products’ on-road performance - Communicate strategies, progress and challenges to executive leadership Qualifications - Masters or Ph.D. in Computer Science or a related technical field; or equivalent industry experience - Proven leadership skills at executing large, complex technical initiatives - Extensive experience managing and leading engineers - Experience with deep learning frameworks such as TensorFlow or PyTorch - Fluency in Python, including standard scientific computing libraries - Proven track record of designing, developing and deploying ML solutions for autonomous vehicles or robotics - Advanced knowledge of software engineering principles including software design, source control management, build processes, code reviews, testing methods - Excellent communication and interpersonal skills Requirements - Experience with embedded systems and real-time optimization, especially in the autonomous driving industry - Experience with state of the art generative AI, and/or reinforcement learning paradigms - Proven track record of publications in relevant conferences (CVPR, ICML, NeurIPS, ICCV, ICL, etc.) - Strong programming skills in C++ and/or CUDA programming Benefits - Medical, dental, vision - 401k with a company match - Health saving accounts - Life insurance - Pet insurance - Additional forms of compensation such as a bonus or company equity Company Description Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We’re driven by something more. - Our journey is always people first. - We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. - Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move. - We’re creating first-of-its-kind technology that will transform transportation. - We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. - Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. - Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives.

Role Description You’re an engineer who is excited to work on cutting-edge software products and solutions using state-of-the-art computer vision and deep learning. You have a solid foundation in areas like detection, classification, segmentation, or tracking—whether through previous roles, internships, or research—and you’re eager to apply those skills in an impactful, production-focused environment. You’re curious, motivated, and ready to learn from experienced teammates. You enjoy solving challenging technical problems, asking thoughtful questions, and collaborating with others to build high-quality software. You’re excited about contributing to the perception stack for self-driving vehicles and learning what it means to build technology for safety-critical, open-world applications. - Contribute to the design, development, and improvement of perception components that support downstream modules within the autonomy system. - Help analyze perception system performance to identify areas for improvement and participate in efforts to address them. - Work with teammates to explore creative approaches to “long-tail” challenges—for example, experimenting with synthetic data, data mining techniques, or new model architectures. - Depending on your background and interests, you may also help optimize and deploy models to the vehicle, ensuring they operate within the constraints of our onboard hardware and meet our functional requirements and interface specifications. - Interface with systems and safety engineers, test engineers, and data analysts to ensure appropriate requirements, test coverage, and performance metrics. Qualifications - Master's or Ph.D. in Machine Learning, Computer Science, Robotics, or a related field; or equivalent industry experience. - Solid understanding of fundamental deep learning concepts and computer vision techniques. - Experience building, training, or evaluating neural networks. - Proficiency in Python and familiarity with libraries like PyTorch or similar. - Exposure to software engineering fundamentals—version control, code reviews, testing, and collaborative development. - Clear communication skills and willingness to ask questions, share ideas, and work with others. Requirements - Previous experience with sensor fusion and/or previous exposure to the AV industry. - Experience shipping a “real” product and balancing ongoing support with next-generation innovation. - Exposure to safety-critical products or components. - Publications in relevant conferences (CVPR, ICML, NeurIPS, etc.). - Strong programming skills in C++ and/or CUDA programming. - Experience with TensorRT and model quantization. Benefits - Motional’s benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more. Salary Range $136,500 — $225,000 USD Company Description Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We’re driven by something more. - Our journey is always people first. - We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. - Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move. - We’re creating first-of-its-kind technology that will transform transportation. - We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. - Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. - Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives.

Role Description Motional is seeking a distinguished Machine Learning Engineer to join its Autonomy team in Behaviors. As a member of our team, you will develop key features for our autonomous driving platform. In this role, you will apply machine learning to a mix of prediction, planning, and control problems. - Researching, implementing, and evaluating deep-learning-based methods for prediction and planning for Motional’s Autonomous Vehicle products. - Leading, designing, running, and analyzing experiments and testing to evaluate the efficiency of our solutions on real-world data. - Partnering with system software engineering specialists to ship industrial strength ML models. - Communicating and collaborating with multi-functional teams. Qualifications - BS/MS/PhD in computer science, electrical engineering, mechanical engineering, applied math, or related fields (or equivalent experience). - 15+ years of proven experience building ML systems for autonomous vehicles or similar robotics applications. - Deep understanding of large language models (LLM) and transformers. - Hands-on experience building large scale production ML systems and deploying them at scale. - Excellent leadership and track record for innovation to help us build the next generation of our ML based planning solutions. - Experience with deep neural network (DNN) training, inference, and optimization in leading frameworks (Pytorch, Tensorflow, TensorRT, etc.). - Excellent understanding of the mathematical foundations of machine learning and deep learning. Requirements - Prior experience as a ML planning lead. - Proven publication record in ML for planning, vision, or related fields. - Prior experience building and deploying vision language action or chain of thought models. Benefits - Medical, dental, vision insurance. - 401k with a company match. - Health saving accounts. - Life insurance. - Pet insurance. - Additional forms of compensation such as a bonus or company equity. Salary Range $271,000 — $373,000 USD Company Description Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We’re driven by something more. - Our journey is always people first. - We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. - Our team is made up of engineers, researchers, innovators, dreamers, and doers, who are creating a technology with the potential to transform the way we move. - We’re creating first-of-its-kind technology that will transform transportation. - We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. - Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. - Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives.

Role Description As a Senior Machine Learning Engineer on the Data Mining team, your mission is to build the "Brain" of our ML-powered multimodal data mining framework, Omnitag. You will: - Architect and Train Distilled Models: - Design and implement teacher-student model frameworks for multimodal sensor data. - Develop training pipelines for knowledge distillation. - Ensure student models maintain high accuracy while drastically reducing inference latency and memory footprint. - Reinforcement Learning for Data Discovery: - Build RL-based policy learning and reasoning systems for autonomous driving applications. - Implement and scale RL training workflows (e.g., PPO, DQN, actor-critic methods) for simulation and real-world interaction. - Explore reward shaping, environment modeling, and multi-agent RL where applicable. - Optimize Model Deployment for Real-Time Inference: - Collaborate with backend engineers to deploy distilled and RL models into production. - Optimize for latency, throughput, and hardware efficiency across GPU/CPU clusters. - Implement model versioning, A/B testing, and monitoring for performance regressions. - Research and Integrate Agentic Systems: - Explore and prototype agentic workflows for autonomous reasoning, chain-of-thought prompting, and goal-directed behavior. - Integrate such systems into our broader autonomy stack as experimental or production components. - Drive Production Reliability: - Establish patterns for graceful degradation, fault tolerance, and cost optimization. - Operate Omnitag as a mission-critical data platform serving the entire ML organization, with a focus on reliability, debuggability, and operational excellence. - Mentor and Collaborate: - Work closely with ML scientists, data engineers, and autonomy teams to translate research advances into scalable engineering solutions. - Guide junior engineers in best practices for model training, evaluation, and deployment. Qualifications - BS in Computer Science, Machine Learning, or related field, or equivalent professional experience. - 6+ years of hands-on experience in machine learning engineering, with a focus on model post-training, optimization, and deployment. - Strong experience with model distillation or teacher-student training - practical knowledge of loss functions, training strategies, and evaluation of compressed models. - Proven experience with reinforcement learning in production or research settings: policy optimization, reward design, simulation environments, and RL-based reasoning. - Expert-level proficiency in Python and ML frameworks (PyTorch, TensorFlow, or JAX). - Strong software engineering fundamentals: testing, CI/CD, containerization, and system design. - Experience deploying ML models in cloud environments (AWS, GCP, or Azure) and optimizing for inference. - Demonstrated ability to ship production-grade ML systems and mentor team members. Requirements - Demonstrated track record of shipping robust, well-tested, production-grade systems and mentoring junior engineers. Benefits - Medical, dental, vision. - 401k with a company match. - Health saving accounts. - Life insurance. - Pet insurance. - And more. Salary Range $172,000 — $229,000 USD