Machine Learning Engineer

2 weeks ago


San Francisco CA, United States Genentech Full time

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 LLMs 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.
As an integral part of the team, you will be involved in the end-to-end development of LLMs: data preparation and cleaning, implementation of scalable data loaders for text and multimodal data, LLM architecture design and modification for optimal performance, throughput, and inference speed, development of LLM-based products including finetuning and RAG, and development/maintenance of APIs for the users of the LLMs.

You will participate in cutting-edge research in LLMs and methods development for drug discovery.
You will solve core engineering challenges including the design, implementation, and scaling of our data, training, and deployment pipeline


~ You have an MS/BS in Computer Science, Statistics, related field, or equivalent experience and 2+ years of industry experience in machine learning
You have demonstrated success in technical capabilities in developing and deploying machine learning models in production environments
Strong programming skills in Python
Extensive experience with deep learning and distributed training frameworks such as PyTorch and Deepspeed
You have an extensive track record of delivering innovative solutions in machine learning 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 experience collaborating with external scientific partners, such as academic institutions or industry research groups
You have a passion for solving complex technical problems and a commitment to staying up-to-date with the latest developments in machine learning.
#Relocation benefits are available for this posting
A discretionary annual bonus may be available based on individual and Company performance. 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.
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