South San Francisco, California
The Small Molecule Machine Learning/Artificial Intelligence (ML/AI) team seeks a talented and experienced, self-driven machine learning engineer to lead the design, development, testing, and delivery of software workflows to support ML/AI efforts focused on discovering groundbreaking therapeutics. This position will focus on working closely with ML/AI experts to enable cutting-edge research in small molecule drug discovery. A critical goal will be to enable model development by ML/AI scientists with a workflow that supports testing, validation, dynamic updating, and deployment. You will join an interdisciplinary team of scientists and software engineers at our South San Francisco, CA research headquarters.
The successful candidate will work directly with cross-functional ML/AI and scientific domain expert teams across the small molecule research organization to design, operationalize, and deploy high-quality, sustainable ML/AI solutions addressing impactful scientific challenges. Projects will span diverse technologies, architectures and problem domains, including data provenance, model curation, model performance monitoring, high performance computing, workflow orchestration, deep learning, web services and cloud computing. The common thread is creating innovative ML/AI systems supporting small molecule R&D groups.
Who you are
In hiring new employees, we look for people who are also inspired by our mission and who would fit in well with the collaborative, rigorous and entrepreneurial spirit of the company culture. Because we know that employees are critical to our success in bringing novel medicines to patients, we are dedicated to remaining a great place to work and to providing employees with programs, services and benefits that allow them to bring the best to the business and to their personal lives.
The ideal candidate will satisfy many of the following requirements:
Masters degree or equivalent in computer science or a related field (Physics, Mathematics, etc.)
At least 6+ years of experience within the full software development lifecycle from planning through deployment and maintenance
Demonstrated ability to design, implement, and scale machine learning workflows (ML OPs) and/or scientific computing workflows; including deployment and delivery of production-ready model APIs
Demonstrated proficiency with version control systems and automated software testing and delivery
Demonstrated proficiency in idiomatic Python3 and (preferred) one additional language (Java, R, Julia, C++)
Proficiency with at least one deep learning framework (PyTorch, TensorFlow, Keras, etc.)
Proficiency with Pandas, SciPy, scikit-learn and (preferred) R/tidyverse and related ecosystems, including relational databases and SQL, and non-relational DB technologies.
Evidence of applying and advocating best engineering practices
Demonstrated leadership commensurate with level of experience, including leading teams with contractors and remote staff.
The ability to understand complex scientific problems and collaboratively develop reliable solutions that evolve in a rapidly changing research environment
Proficiency with containerized workflows and architectures preferred
Experience with Cloud and data strategies preferred
Able to present your work, both verbally and in writing, to diverse audiences including scientists, technical colleagues, and management
Undergraduate organic chemistry or equivalent experience is preferred
Experience with cheminformatics algorithms and software is preferred
Experience in a drug discovery research organization strongly preferred
Genentech, a member of the Roche group and founder of the biotechnology industry, is dedicated to pursuing groundbreaking science to discover and develop medicines for people with serious and life-threatening diseases. To solve the world's most complex health challenges, we ask bigger questions that challenge our industry and the boundaries of science to transform society. Our transformational discoveries include the first targeted antibody for cancer and the first medicine for primary progressive multiple sclerosis.
Diversity and Inclusion (D&I) are critical to the success of our company and our impact on society. We believe that by championing diversity of background, thought and experience, we can foster a sense of belonging and provide an environment where every employee feels valued, included, and able to contribute their best for the patients we serve. We’re focused on attracting, retaining, developing and advancing our people to their full potential by rewarding bold ways of thinking and integrating inclusive behaviors into every aspect of our work.
The next step is yours. To apply today, click on the "Apply for this job" button.
Genentech is an equal opportunity employer & prohibits unlawful discrimination based on race, color, religion, gender, sexual orientation, gender identity/expression, national origin/ancestry, age, disability, marital & veteran status. For more information about equal employment opportunity, visit our Genentech Careers page.
These are our stories - stories of the obstacles and opportunities that define and celebrate the unique people at Genentech.