Machine Learning Engineer, Data Mining

📋 Description

• Build, train, and fine-tune ML models for multimodal data (vision, LiDAR).
• Support deployment with scalable preprocessing and optimizations (batch inference, quantization).
• Develop embedding-based search tools and active learning workflows.
• Monitor model health, data drift, and system performance via dashboards.
• Follow Git, CI/CD, unit tests; participate in code reviews and docs.
• Collaborate with engineers to scale prototypes into production solutions.

🎯 Requirements

• BS or MS in Computer Science, ML, or related field.
• Hands-on PyTorch (preferred) or TensorFlow/JAX; train and evaluate models.
• Strong Python proficiency; write clean, modular, well-documented code.
• Version control, unit testing, and basic software design patterns.
• Experience with large datasets; SQL, Pandas, NumPy.
• Strong ML lifecycle knowledge: data cleaning, feature engineering, validation, deployment.
• Proactive learner; eager to grow in a high-stakes engineering environment.

🎁 Benefits

• Hybrid/in-office options at Boston, Pittsburgh, or Las Vegas, or remote.
• Medical, dental, vision, 401(k) with match, HSA, life and pet insurance.