# Senior Machine Learning Scientist - Lab Automation at Genentech

- Company: Genentech
- What the company does: Genentech discovers, develops, manufactures and commercializes treatments for patients with serious and life-threatening medical conditions. Backed by North Carolina Biotechnology Center.
- Company website: https://gene.com
- Type: Startups (AI role)
- Level: Senior
- Location: South San Francisco
- Work setup: On-site
- Pay: $168K to $312K base salary per year (USD)
- Posted: 2026-11-04
- Apply by: 2026-12-19
- Apply: https://roche.wd3.myworkdayjobs.com/en-US/ROG-A2O-GENE/job/South-San-Francisco/Senior-Machine-Learning-Scientist---Lab-Automation_202611-128318?utm_source=1752vc&utm_medium=careers
- Page: https://www.1752.vc/careers/jobs/genentech-senior-machine-learning-scientist-lab-automation/

## About the role

As a Senior Multimodal Machine Learning Scientist, you will be the hands-on technical lead and architect developing intelligent systems for autonomous laboratories. Your work will span computer vision and multimodal perception, predictive modeling, agentic systems, and closed-loop experimentation, for example, unifying camera feeds with rich physical telemetry to give lab systems situational awareness and autonomous recovery capabilities. Found on 1752vc Careers, the job board for startup and VC roles.

## What they're looking for

- MS/PhD in Computer Science, Data Science, AI, or a related quantitative field with 3+ years of hands-on experience deploying production ML systems or translational research models
- Passion for translating frontier AI into biological workflows and real-world therapeutic breakthroughs
- Strong foundations in machine learning, statistics, and data analysis, with hands-on experience developing and deploying predictive and data-driven models
- Proven track record building and deploying multimodal models that combine camera feeds/image streams with unstructured physical data (sensor logs, time-series, tabular scientific data)
- Hands-on experience building, orchestrating, or tuning agent harnesses
- Demonstrated mastery in building comprehensive evaluation pipelines (evals) to benchmark model and agent accuracy, robustness, and safety in production environments


Source: 1752vc Careers, https://www.1752.vc/careers/jobs/genentech-senior-machine-learning-scientist-lab-automation/