About this role

Develop, train, and fine-tune machine learning models for multimodal sensor data (e.g., vision, LiDAR).
Implement scalable data preprocessing and augmentation pipelines.
Help develop embedding-based search tools and 'active learning' workflows.
Help build and maintain dashboards to monitor model health, data drift, and system performance.
Follow software engineering standards for ML code and participate in code reviews.
Work closely with senior engineers and machine learning engineers to translate model prototypes into maintainable engineering solutions.

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.

Machine Learning Engineer, Data Mining

Key skills