Note: The job is a remote job and is open to candidates in USA. Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. As a Machine Learning Engineer on the Data Mining team, you will help build the "Brain" of the ML-powered multimodal data mining framework, working to extract insights from driving data and improve model performance.
Responsibilities
- Develop, train, and fine-tune machine learning models for multimodal sensor data (e.g., vision, LiDAR). Focus on implementing supervised and self-supervised learning approaches to improve data search and retrieval
- Implement scalable data preprocessing and augmentation pipelines. Assist in applying standard optimization techniques (e.g., batch inference, quantization) to ensure models run efficiently in production environments
- Help develop embedding-based search tools and "active learning" workflows to identify critical driving scenarios
- Help build and maintain dashboards to monitor model health, data drift, and system performance. Identify regressions and assist in the operational support of our data mining services
- Follow software engineering standards (version control, CI/CD, unit testing) for ML code. Participate in code reviews and contribute to technical documentation
- Work closely with senior engineers and machine learning engineers to translate model prototypes into maintainable, scalable engineering solutions
Skills
- BS or MS in Computer Science, Machine Learning, or a related field
- Hands-on experience with PyTorch (preferred) or TensorFlow/JAX. You should be comfortable training models and evaluating them using standard metrics
- Strong proficiency in Python with the ability to write clean, modular, and well-documented code
- Working knowledge of version control, unit testing, and basic software design patterns
- Experience working with large datasets, including proficiency in SQL and data libraries like Pandas and NumPy
- A solid grasp of the full ML lifecycle, from data cleaning and feature engineering to validation and deployment basics
- A proactive learner who thrives on constructive feedback and is eager to grow within a high-stakes engineering environment
- 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, using the model to find the data that breaks the model
- Experience with ML-based data mining, active learning, or contrastive learning
- Knowledge of model serving tools (TF Serving, Triton, TorchServe) and MLOps platforms
- Publication in top-tier conferences (e.g., ICCV, CVPR, ECCV)
Benefits
- Candidates for certain positions are eligible to participate in Motional’s benefits program.
- 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.
Company Overview