Senior Machine Learning Scientist - Lab Automation
Core
Architecting and deploying intelligent systems for autonomous, self-healing laboratories to accelerate drug discovery and development.
Role type
Senior Multimodal Machine Learning Scientist (Lab Automation)
Builds
Autonomous lab infrastructure integrating computer vision, multimodal perception, predictive modeling, and agentic systems for lights-out drug discovery.
Domain
Biopharma / Autonomous Laboratory Systems / Computer Vision
Deliverable
production ML models
Required skills
Computer Vision, Vision-Language Models (VLMs), Multimodal Model Development, Agentic System Design, ML Pipeline Orchestration, Model Evaluation & Benchmarking, Scalable ML Inference
Preferred skills
Synthetic Vision Data Generation, Edge-Vision Deployment, Lab Automation Hardware Knowledge, Bayesian Optimization, Reinforcement Learning
Technologies
PyTorch, OpenCV, torchvision, Vision Transformers, SAM, DinoV2
Responsibilities
Develop and fine-tune state-of-the-art vision models for real-time visual quality control in lab workcells. Build multimodal models integrating camera feeds with sensor telemetry and assay metadata. Create predictive AI models on analytical data to support closed-loop experimental decision-making. Build end-to-end data and ML pipelines for image/video and sensor data. Develop agentic pipelines to interpret lab data and execute autonomous recovery decisions. Build rigorous evaluation suites to benchmark model and agent accuracy. Deploy and optimize scalable ML inference infrastructure for low-latency performance.
