Hiring: Machine Learning Engineer, Data Mining Company: Motional Location: Boston, MA Job Posted Time: 2026-09-16 15:03:23 Target Skills & Keywords : CI/CD, Data Pipeline, LLM, Machine Learning, NumPy, Pandas, PyTorch, Python, SQL, TensorFlow, Terraform, TestNG, Triton, Unit Testing About the job Required Skills: •Build and Train ML Pipelines: •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. •Support Model Deployment: •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. •Data Mining & Analysis: •Help develop embedding-based search tools and "active learning" workflows to identify critical driving scenarios. •Monitor Production Performance: •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. •Learn and Apply Best Practices: •Follow software engineering standards (version control, CI/CD, unit testing) for ML code. Participate in code reviews and contribute to technical documentation. •Collaborate Across Teams: •Work closely with senior engineers and machine learning engineers to translate model prototypes into maintainable, scalable engineering solutions. •What We're Looking For (Must-Haves): •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. Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!