ML Engineer, AI Enablement for Breakthrough Healthcare

Roche; South San Francisco (CA); Sur place; USD 148 000 - 274 000; Plein temps

Avantages offerts par ce poste

Onsite presence at South San Francisco

Discretionary annual bonus

Equal opportunity employer

Résumé du poste

Roche is seeking a machine learning engineer for its AI Enablement group in the Data and Digital Catalyst organization. You will build scalable AI/ML systems that empower scientists to accelerate drug discovery, working with computational scientists, AI/ML experts, and product leaders.

The role requires a bachelor’s degree and 1–3 years of AI/ML experience, with strong statistics knowledge, GPU optimization, and cloud-native skills. Onsite presence at South San Francisco campus is expected.

Qualifications

• Bachelor’s degree with 1–3 years AI/ML experience.
• Strong knowledge of statistics and ML theory.
• Experience with ML performance optimization and GPUs.
• Familiar with Kubernetes, databases, data lakes, and cloud-native AWS.
• Proven engineering best practices and collaborative work.
• Excellent communication and quick-learning mindset.

Responsabilités

• Design, develop, and test scalable AI/ML web apps and backend systems.
• Build tools to evaluate AI/ML model performance and quality.
• Collaborate with product managers and scientists to translate needs into specs.
• Develop and maintain systems for collecting and storing diverse scientific data.
• Implement or evaluate new AI/ML algorithms and techniques.
• Contribute to architecture decisions, code reviews, and process evolution.
• Be willing to span the stack and adapt beyond core area.

Connaissances

AI/ML frameworks

Statistics & ML theory

GPU optimization

Kubernetes

Databases & data lakes

Cloud-native architectures

Engineering best practices

Communication skills

Learning agility

Formation

Bachelor's degree in a relevant field

Outils

AWS

Description du poste

Roche is seeking a machine learning engineer for its AI Enablement group in the Data and Digital Catalyst organization. You will build scalable AI/ML systems that empower scientists to accelerate drug discovery, working with computational scientists, AI/ML experts, and product leaders.

The role requires a bachelor’s degree and 1–3 years of AI/ML experience, with strong statistics knowledge, GPU optimization, and cloud-native skills. Onsite presence at South San Francisco campus is expected.