Genentech discovers, develops, manufactures and commercializes treatments for patients with serious and life-threatening medical conditions. Backed by North Carolina Biotechnology Center.
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
More about this role
A healthier future. It’s what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That’s what makes us Roche.
Advances in AI, data, and computational sciences are transforming drug discovery and development. Roche’s Research and Early Development organizations at Genentech (gRED) and Pharma (pRED) have demonstrated how these technologies accelerate R&D, leveraging data and novel computational models to drive impact. Seamless data sharing and access to models across gRED and pRED are essential to maximizing these opportunities. The new Computational Sciences Center of Excellence (CoE) is a strategic, unified group whose goal is to harness the transformative power of data and Artificial Intelligence (AI) to assist our scientists in both pRED and gRED to deliver more innovative and transformative medicines for patients worldwide.
The Opportunity
At Genentech (gRED) and Roche (pRED), we’re applying software, robotics, and advanced AI to solve one of humanity’s hardest challenges: building fully autonomous, self-healing...
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