Senior Machine Learning Engineer, Data Mining

📋 Description

• Architect and train teacher-student models for multimodal data.
• Build RL-based data discovery and scale RL training (PPO, DQN).
• Optimize real-time inference: deploy distilled/RL models with low latency.
• Research agentic systems: autonomous reasoning and chain-of-thought prompts.
• Drive production reliability of Omnitag data platform.
• Mentor ML scientists, data engineers, and junior engineers.

🎯 Requirements

• BS in Computer Science, ML, or related field, or equivalent experience.
• 6+ years hands-on ML engineering with post-training, optimization, deployment.
• Distillation/teacher-student training experience; loss functions and evaluation.
• RL experience in production or research: policy optimization, rewards, simulation.
• Expert in Python and ML frameworks (PyTorch, TensorFlow, or JAX).
• Software engineering fundamentals: testing, CI/CD, containerization, system design.
• Cloud deployment of ML models (AWS, GCP, Azure) and inference optimization.
• Bonus points: MS/PhD; agentic systems; robotics; multimodal learning.

🎁 Benefits

• Hybrid schedule with in-office time in Boston, Pittsburgh, or Las Vegas, or fully remote.
• Medical, dental, vision; 401k with match; HSA; life and pet insurance.
• Global, diverse, inclusive culture with a people-first approach.