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

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

medical
dental
vision
401k with a company match
health saving accounts
life insurance
pet insurance

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

machine learningPyTorchTensorFlowJAXPythonSQLPandasNumPydata preprocessingmodel deployment

Soft Skills

collaborationproactive learningconstructive feedbackcommunicationteamworkadaptabilityproblem-solvingattention to detaileagerness to groworganizational skills