AI Enablement Engineer — Scalable ML for Drug Discovery

Roche; South San Francisco (CA); Presencial; USD 148.000 - 274.000; Jornada completa

Descripción de la vacante

Genentech is seeking a Machine Learning Engineer in AI Enablement to design, build, and scale AI/ML systems that unlock diverse scientific data and accelerate drug discovery. You will work with computational scientists, researchers, and product leads to translate needs into robust technical solutions.

You will develop scalable AI/ML web apps and backend systems, optimize model performance, and contribute to data platforms and modern tech stacks.

Formación

• Strong proficiency with AI/ML frameworks, libraries, and toolsets.
• Expert knowledge of statistics, machine learning theory, and algorithms.
• Strong knowledge of ML performance optimization, GPU best practices.
• Experience with kubernetes, relational databases, NoSQL databases, or data lakes, and experience working on cloud-native architectures in public clouds (ideally AWS).
• Proven understanding and application of engineering best practices.
• Excellent communication skills and ability to build trusted partnerships with internal and external collaborators.
• Ability to quickly acquire new technologies and programming languages and a passion for continuous learning.

Responsabilidades

• Design, develop, and test robust, scalable AI/ML facing scientific web applications and backend systems.
• Build tools to evaluate AI/ML model performance and establish new ways to understand AI quality.
• Partner with product managers and scientists to understand user needs, shape requirements, and translate them into actionable technical specifications.
• Develop and maintain systems for collecting, structuring, and storing diverse scientific data that support advanced analytics, machine learning, and other data-driven initiatives.
• Implement, adopt, or evaluate new AI/ML algorithms and analytical techniques
• Contribute to architectural decisions, code reviews, and the evolution of our development processes.
• Be willing to span the stack and contribute where needed, even outside of your core area of expertise.
• Stay up-to-date with emerging technologies and industry best practices and adopt a culture of continuous learning, collaboration, and curiosity.

Conocimientos

AI/ML frameworks

Statistics

ML optimization

Kubernetes

Databases (Relational & NoSQL)

Cloud (AWS)

Communication

Herramientas

Kubernetes

AWS

Descripción del empleo

Genentech is seeking a Machine Learning Engineer in AI Enablement to design, build, and scale AI/ML systems that unlock diverse scientific data and accelerate drug discovery. You will work with computational scientists, researchers, and product leads to translate needs into robust technical solutions.

You will develop scalable AI/ML web apps and backend systems, optimize model performance, and contribute to data platforms and modern tech stacks.