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Machine Learning Engineer/Senior Machine Learning Engineer, Agentic Systems, AI for Drug Discovery

Roche
South San Francisco, USA
Full-time
Senior · 5+ years experience
Onsite
Discovered 1 weeks ago
python

Full Job Posting

Who You Are:

  • For the Machine Learning Engineer level, you have a bachelor’s or master’s degree in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience, and 3+ years of professional software engineering experience; and for the Senior Machine Learning Engineer level, you have a bachelor’s or master’s degree in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience, and 5+ years of professional software engineering experience
  • You are proficient in Python and have strong software engineering fundamentals, including API design, automated testing, data modeling, and system design.
  • You have experience independently delivering production software from technical design and implementation through deployment, monitoring, and ongoing support.
  • You have built backend services, platform capabilities, developer tools, or user-facing applications in a cloud environment.
  • You are comfortable working with relational databases, asynchronous workflows, containers, version control, and CI/CD practices.
  • You can translate user and scientific needs into practical technical solutions and communicate effectively with engineers, researchers, product managers, and domain experts.
  • You are interested in AI-enabled applications and in integrating models, scientific tools, and data into reliable workflows.
  • You are motivated by delivering software to users and improving real scientific workflows.
  • Preferred Qualifications:
  • Experience with frontend development using a modern framework such as React.
  • Familiarity with frameworks and standards for agentic applications, such as Model Context Protocol, workflow orchestration, retrieval systems, or evaluation frameworks.
  • Experience developing software for scientific research, cheminformatics, computational chemistry, biology, or drug discovery.
  • Onsite presence, on our South San Francisco or NYC campus, is expected for at least 3 days a week.
  • Relocation benefits are NOT available for this job posting.
  • The expected salary range for this position based on the primary location of California for the Machine Learning Engineer is $147,600 -274,000, and for the Senior Machine Learning Engineer is $168,100 - 312,300. For the primary location of New York, the Machine Learning Engineer is $141,100 - 262,100, and the Senior Machine Learning Engineer is $160,900 - 298,700. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. 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.
  • Benefits
  • #ComputationCoE #ArtificialIntelligence #DrugDiscovery
  • Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.
  • If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.

Preferred Qualifications

  • Experience with frontend development using a modern framework such as React.
  • Familiarity with frameworks and standards for agentic applications, such as Model Context Protocol, workflow orchestration, retrieval systems, or evaluation frameworks.
  • Experience developing software for scientific research, cheminformatics, computational chemistry, biology, or drug discovery.
  • Onsite presence, on our South San Francisco or NYC campus, is expected for at least 3 days a week.
  • Relocation benefits are NOT available for this job posting.
  • The expected salary range for this position based on the primary location of California for the Machine Learning Engineer is $147,600 -274,000, and for the Senior Machine Learning Engineer is $168,100 - 312,300. For the primary location of New York, the Machine Learning Engineer is $141,100 - 262,100, and the Senior Machine Learning Engineer is $160,900 - 298,700. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. 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.
  • Benefits
  • #ComputationCoE
  • #ArtificialIntelligence
  • #DrugDiscovery
  • Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.
  • If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.

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