Senior Multimodal ML Scientist - Autonomous Lab Systems

Genentech, Inc.; San Francisco (CA); On-site; USD 168,000 - 312,000; Full time

Job summary

Genentech, Inc. in San Francisco is seeking a Senior Multimodal Machine Learning Scientist to lead hands‑on development of autonomous lab systems, unifying vision, sensor data, and laboratory telemetry to enable unattended experiments.

You will build end‑to‑end ML pipelines, evaluate models, deploy scalable inference, and collaborate with scientists, automation engineers, and software teams to advance AI‑driven drug discovery.

Responsibilities

• Develop and fine‑tune state‑of‑the‑art vision models (VLMs, DinoV2, SAM, custom detection/segmentation) for real‑time visual QC in lab workcells.
• Integrate camera feeds with time‑series sensor telemetry, system logs, assay metadata, and other lab data to detect physical failure modes.
• Build predictive AI models on spectroscopy, plate‑readers, chromatography data to quantify assay quality and guide closed‑loop experiments.
• Create end‑to‑end ML pipelines: data collection, labeling, training, deployment, monitoring, and iterative improvements.
• Develop agentic pipelines that interpret lab data, reason through workflows, and execute autonomous recovery decisions.
• Construct rigorous eval suites to benchmark model and agent accuracy, robustness, and safety in production labs.
• Deploy and optimize low‑latency ML inference and monitoring infrastructure supporting diverse models and instruments.

Job description

Genentech, Inc. in San Francisco is seeking a Senior Multimodal Machine Learning Scientist to lead hands‑on development of autonomous lab systems, unifying vision, sensor data, and laboratory telemetry to enable unattended experiments.

You will build end‑to‑end ML pipelines, evaluate models, deploy scalable inference, and collaborate with scientists, automation engineers, and software teams to advance AI‑driven drug discovery.