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Machine Learning Engineer, Data Mining
MotionalMachine Learning Engineer developing multimodal data mining solutions for autonomous vehicles at Motional. Building ML pipelines and collaborating with engineering teams to enhance data analysis.
Posted 4/14/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $144,000 - $192,000 per yearWebsite
Tech Stack
Tools & technologiesNumpyPandasPythonPyTorchSQLTensorflow
About the role
Key responsibilities & impact- Build and Train ML Pipelines: Develop, train, and fine-tune machine learning models for multimodal sensor data (e.g., vision, LiDAR).
- Support Model Deployment: Implement scalable data preprocessing and augmentation pipelines.
- Data Mining & Analysis: Help develop embedding-based search tools and "active learning" workflows.
- Monitor Production Performance: Help build and maintain dashboards to monitor model health.
- Learn and Apply Best Practices: Follow software engineering standards for ML code.
- Collaborate Across Teams: Work closely with senior engineers and machine learning engineers.
Requirements
What you’ll need- BS or MS in Computer Science, Machine Learning, or a related field.
- Hands-on experience with PyTorch (preferred) or TensorFlow/JAX.
- 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.
Benefits
Comp & perks- medical
- dental
- vision
- 401k with a company match
- health saving accounts
- life insurance
- pet insurance
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
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Hard Skills & Tools
machine learningPyTorchTensorFlowJAXPythonSQLPandasNumPydata preprocessingmodel deployment
Soft Skills
collaborationproactive learningconstructive feedbackcommunicationteamworkadaptabilityproblem-solvingattention to detaileagerness to groworganizational skills