Genentech ยท 1 hour ago
Senior Machine Learning Engineer - AI - Lab Automation Software
San Francisco, CA
Full-time
Onsite
Senior Level
$148K/yr - $274K/yr
5+ years expGenentech is a leading biotechnology company focused on innovation in healthcare. They are seeking a Senior Machine Learning Engineer to design and implement robust MLOps and deployment architecture for integrating AI models into lab devices, driving advancements in drug discovery and development.
BiotechnologyLife ScienceManufacturing
Responsibilities
Design, develop, and test the foundational software architecture required for high-level experimental orchestration, enabling the transformation of scientific intent into validated, machine-executable programs across diverse robotic lab hardware
Design and implement robust, scalable services and APIs to deploy trained ML models, ensuring minimal latency for real-time inference and autonomous control within the physical lab environment
Partner with scientists and engineering teams to define data requirements, ensuring the collection of high-quality, multimodal data and metadata necessary for model training and ML readiness
Partner with ML scientists, product managers, and scientific domain experts to understand user needs, shape technical requirements, and make optimal choices for model integration and control architecture
Constantly improve the performance of the team's MLOps infrastructure and pipelines, acting as the technical liaison with central infrastructure teams for scaling, support, and resource provisioning
Contribute to architectural decisions, code reviews, and the evolution of development processes to ensure system scalability and maintainability across the global automation landscape
Qualification
Required
MS/BS in CS or related field with 5+ years of experience, or PhD with 2+ years of experience focused on high-performance ML systems
Hands-on experience designing and operating scalable, low-latency production systems for ML models (MLOps, microservices, cloud/edge deployment)
Expertise in ML performance optimization, including GPU/accelerator utilization and memory management
Proven application of engineering best practices including rigorous code review, CI/CD, unit/integration testing for hardware-in-the-loop
Expert proficiency in Python; experience with Kubernetes and containerization
Proven expertise in data modeling, databases (e.g., relational, NoSQL), and implementing robust MLOps/Cloud infrastructure
Experience or a strong interest in interacting with physical systems, including hardware-software integration, robotic middleware (e.g., ROS, drivers/SDKs), or IoT device communication
Preferred
Prior experience with distributed systems and control paradigms (e.g., ROS, high-level messaging protocols)
Practical experience building User Interfaces (UIs) or dashboards to visualize real-time model metrics and system health
Benefits
A discretionary annual bonus may be available based on individual and Company performance.
This position also qualifies for the benefits detailed at the link provided below.
Company
Genentech
Genentech is a biotechnology research company that specializes in genetic testing and personalized medicines.
10001+ employees
H1B Sponsorship
Genentech has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (167)
2024 (148)
2023 (150)
2022 (178)
2021 (121)
2020 (158)
Funding
Current Stage
Public CompanyTotal Funding
unknown2009-03-26Acquired
1999-07-20IPO
1976-01-01Series Unknown
Leadership Team
Ashley Magargee
Chief Executive Officer
Michael Laird
Vice President, Global MSAT Drug Substance Biologics Technology and Commercial Products Support
Recent News
2026-01-16
2026-01-07
Company data provided by crunchbase