Machine Learning Scientist
Genentech | |
United States, New York, New York | |
149 5th Avenue (Show on map) | |
Jan 25, 2025 | |
The Position
The Position 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 Genentech. The Opportunity At Genentech Computational Sciences (gCS) Prescient Design, we are revolutionizing drug discovery with cutting-edge machine learning techniques. We are seeking talented engineers with a passion for building large-scale, distributed machine-learning algorithms and systems that will transform the drug discovery process. The Frey lab within the Large Molecule AI/ML Department of Prescient is looking for exceptional machine learning scientists who want to perform high-quality research at the cross-section of machine learning and biology that have a direct impact in large molecule drug discovery. Researchers will primarily focus on the deep learning subfield of machine learning and should have a strong interest in fundamental research in self-supervised learning and training and fine-tuning foundation models. In this role, you will:
Who you are
Preferred
#gCS #tech4lifeAI Relocation benefits are available for this job posting The expected salary range for this position based on the primary location of New York City is $144,900 - 269,100 of hiring range. 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 Genentech is an equal opportunity employer, and we embrace the increasingly diverse world around us. Genentech prohibits unlawful discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin or ancestry, age, disability, marital status and veteran status. |