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South San Francisco, California, United States
Hybrid
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 maximising these opportunities. The Computational Sciences Center of Excellence (CS 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 life-changing medicines for patients worldwide.
The Opportunity
Within AI for Drug Discovery, the Software Engineering team builds and operates software platforms that put advanced models and computational tools into the hands of scientists. Our focus is on developing technology and deploying reliable, intuitive solutions that are adopted by users and create measurable impact across drug discovery. We are seeking a very talented Machine Learning Engineer to help build our agentic platform for molecule design. The platform enables scientists to use AI agents, computational models, scientific tools, and internal data sources together in coordinated workflows that support the design and evaluation of therapeutic molecules. In this role, you will develop production-quality software, integrate scientific and machine learning capabilities, and improve the experience of scientists using the platform. You will collaborate with software engineers, machine learning researchers, computational scientists, product managers, and drug discovery teams across Roche and Genentech.
In this role, you will:
Who You Are:
Preferred Qualifications:
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.
#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.
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