Genentech
Machine Learning Engineer, Prescient LLMs
Genentech, New York, New York, us, 10261
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.
gCS Prescient Design is seeking an exceptional Machine Learning Engineer to develop our LLM and AI product and enable the next generation of foundational research in machine learning for scientific discovery. We are looking for someone who is not only passionate about technical problem-solving but also has a proven track record of delivering innovative solutions in machine learning. The ideal candidate should have extensive experience in leading and managing a team of engineers and scientists, and be able to foster a culture of innovation, collaboration, and excellence across the broader gCS organization.
The group provides a dynamic and challenging environment for multidisciplinary research including access to heterogeneous data sources, close links to top academic institutions around the world, as well as collaborations with internal Genentech and Roche teams.
In this role, you will:
Participate in cutting-edge research and development in LLMs for various internal applications including bio- and non-biomedical use-cases.
Develop LLMs including data engineering, pretraining, finetuning, post-training, and evaluation as well as deploy models in production environments, working closely with other engineers to ensure scalability and reliability
Solve core ML and engineering challenges including the design, implementation, and scaling of our data, training, and deployment pipeline
Collaborate closely with cross-functional teams across
Who you are
You have an MS/BS in Computer Science, Statistics, related field, or equivalent experience and 2+ years of industry experience in machine learning; or a PhD in Computer Science and related field and 0+ years of industry experience.
You have demonstrated success in technical capabilities deploying machine learning models in production environments or in ML/LLM research
You have strong programming skills in Python * You have extensive experience with deep learning / LLMs
You are a dynamic and resilient individual who excels in a rapidly evolving environment, taking initiative on projects and continuously learning and adapting to new challenges and opportunities.
You have a collaborative and open-minded team player who values constructive feedback, refrains from judgment, and fosters a positive and respectful team environment.
You have strong communication skills, with the ability to effectively communicate technical concepts to both technical and non-technical audiences as well as interfacing with scientific and engineering leadership
You have a passion for solving complex technical problems and a commitment to staying up-to-date with the latest developments in machine learning
You have experience collaborating with external scientific partners, such as academic institutions or industry research groups
You have an extensive track record of delivering innovative solutions in machine learning
#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 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.
Roche 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.
Minimum Salary: 31200.00 Maximum Salary: 31200.00 Salary Unit: Yearly
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.
gCS Prescient Design is seeking an exceptional Machine Learning Engineer to develop our LLM and AI product and enable the next generation of foundational research in machine learning for scientific discovery. We are looking for someone who is not only passionate about technical problem-solving but also has a proven track record of delivering innovative solutions in machine learning. The ideal candidate should have extensive experience in leading and managing a team of engineers and scientists, and be able to foster a culture of innovation, collaboration, and excellence across the broader gCS organization.
The group provides a dynamic and challenging environment for multidisciplinary research including access to heterogeneous data sources, close links to top academic institutions around the world, as well as collaborations with internal Genentech and Roche teams.
In this role, you will:
Participate in cutting-edge research and development in LLMs for various internal applications including bio- and non-biomedical use-cases.
Develop LLMs including data engineering, pretraining, finetuning, post-training, and evaluation as well as deploy models in production environments, working closely with other engineers to ensure scalability and reliability
Solve core ML and engineering challenges including the design, implementation, and scaling of our data, training, and deployment pipeline
Collaborate closely with cross-functional teams across
Who you are
You have an MS/BS in Computer Science, Statistics, related field, or equivalent experience and 2+ years of industry experience in machine learning; or a PhD in Computer Science and related field and 0+ years of industry experience.
You have demonstrated success in technical capabilities deploying machine learning models in production environments or in ML/LLM research
You have strong programming skills in Python * You have extensive experience with deep learning / LLMs
You are a dynamic and resilient individual who excels in a rapidly evolving environment, taking initiative on projects and continuously learning and adapting to new challenges and opportunities.
You have a collaborative and open-minded team player who values constructive feedback, refrains from judgment, and fosters a positive and respectful team environment.
You have strong communication skills, with the ability to effectively communicate technical concepts to both technical and non-technical audiences as well as interfacing with scientific and engineering leadership
You have a passion for solving complex technical problems and a commitment to staying up-to-date with the latest developments in machine learning
You have experience collaborating with external scientific partners, such as academic institutions or industry research groups
You have an extensive track record of delivering innovative solutions in machine learning
#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 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.
Roche 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.
Minimum Salary: 31200.00 Maximum Salary: 31200.00 Salary Unit: Yearly