Motional is hiring a Senior Machine Learning Engineer to build the core intelligence of our ML-powered multimodal data mining framework, Omnitag. You will design massive multimodal Teacher models and distill them into hyper-efficient Student models for fast data discovery. This role sits at the intersection of large-scale representation learning, retrieval optimization, and reasoning systems, directly accelerating our model improvement lifecycle.
What You'll Do
- Architect and train teacher-student model frameworks for multimodal sensor data, developing training pipelines for knowledge distillation.
- Build RL-based policy learning and reasoning systems for autonomous driving applications, implementing and scaling RL training workflows.
- Optimize model deployment for real-time inference, collaborating with backend engineers to deploy models into production.
- Research and integrate agentic systems for autonomous reasoning, chain-of-thought prompting, and goal-directed behavior.
- Establish patterns for graceful degradation, fault tolerance, and cost optimization to ensure production reliability.
- Mentor junior engineers and collaborate with ML scientists, data engineers, and autonomy teams.
What We're Looking For
- BS in Computer Science, Machine Learning, or related field, or equivalent professional experience.
- 6+ years of hands-on experience in machine learning engineering, focusing on model post training, optimization, and deployment.
- Strong experience with model distillation or teacher-student training.
- Proven experience with reinforcement learning in production or research settings.
- 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.
Nice to Have
- MS/PhD in Computer Science, Machine Learning, or related field.
- Experience with agentic systems, autonomous reasoning, chain-of-thought models, or LLM-based planning.
- Background in autonomous driving, robotics, or real-time decision-making systems.
- Familiarity with multimodal learning, sensor fusion, or embodied AI.
- Experience building active learning loops.
- Experience with ML-based data mining, active learning, or contrastive learning.
- Knowledge of model serving tools (TF Serving, Triton, TorchServe) and MLOps platforms.
- Publications or open-source contributions in RL, distillation, or efficient ML.
Technical Stack
- Languages & Frameworks: Python, PyTorch, TensorFlow, JAX
- Cloud Platforms: AWS, GCP, Azure
Team & Environment
You will work on the Data Mining team, collaborating closely with ML scientists, data engineers, and autonomy teams.
Benefits & Compensation
- Compensation range: $172,000—$229,000 USD + equity
- Medical, dental, vision insurance
- 401k with company match
- Health saving accounts
- Life insurance
- Pet insurance
Work Mode
This is a hybrid role open to candidates in Boston, Pittsburgh, or Las Vegas.
Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees.
