Machine Learning Engineer, Prescient Design

Artificial Intelligence & Machine Learning               ·            New York City, New York, United States of America        ·         Full time

Machine Learning Engineer, Prescient Design

• Location: New York City, New York, United States of America
• Full time

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The Position

Prescient Design is developing cutting-edge machine learning for drug discovery, building new methods, techniques, and systems to fundamentally transform how drugs are designed.

The Engineering group within Prescient is looking for solid engineering skills and experience building and improving large scale distributed machine learning systems, and contributing to the science behind the models.

We know engineering plays a key role in ML advances, and we require engineers who want to build the high quality research tools and frameworks to increase the research productivity across Prescient Design. As a machine learning engineer, you will help develop and productionalize algorithms, contribute to cutting-edge research and will play a key role in Prescient Design’s success. 

The group provides a dynamic and challenging environment for cutting-edge, multidisciplinary research including access to heterogeneous data sources, close links to top academic institutions around the world, as well as internal Genentech Research and Early Development (gRED) partners and research units. 

In this role, you will:

• Participate in cutting-edge research in machine learning and methods development with applications to drug discovery.
• Build tools that enable large scale ML experiments
• Solve core engineering challenges including the design, implementation, and scaling of our machine learning algorithms.
• Collaborate closely with cross-functional teams across both Prescient Design and gRED to solve complex problems in the life sciences.

Qualifications

• Master’s Degree or Ph.D. in Computer Science or Mathematics, Applied Stats, Machine Learning or similar experience working in industry
• Experience implementing large scale deep learning models.
• Experience with PyTorch in a production setting.
• Excellent programming skills.
• Intense curiosity about molecular design and eagerness to contribute to scientific and computational efforts.

#gCS

Who We Are

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 expected salary range for this position based on the primary location of New York City is $137,400 and $255,200 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.

Job Facts

• Job Sub Category: Artificial Intelligence & Machine Learning
• Schedule: Full time
• Job Type: Regular
• Posted Date: Sep 15th 2023
• Job ID: 202303-108180

Please click here to apply.