Machine Learning Researcher

San Francisco Bay Area

Up to $250K + Equity + Benefits

Sponsorship Offered

Internal Job Title: Founding Member of Technical Staff

With the life sciences industry spending over $12Bn a year on toxicology assessments alone, what if traditional lab experiments could be shifted to in silico?

How about if we could get better results, faster and at a fraction of the current spend?

Charter:

Be a founding member of a team setting out to build the first accurate AI systems for replacing lab and animal toxicity experiments with AI models

Opportunity:

Define the core end-to-end ML/AI system: wetlab data creation and data cleaning/processing; model architecture, training, and inference; compute infrastructure and model deployment
Lead the research & development of novel models for understanding the relationship between chemistry and biology
Architect and scale large models pre-trained on paired chemistry and biological images
Set the foundation of a research culture which will grow to become the OpenAI for chemistry / biology
Become a research leader in novel and underserved areas: molecular graph representations, contrastive learning for chemistry / biology, semi-supervised learning on biological images, generative diffusion for biology
Grow as an entrepreneur as well as an engineer by building things from 0 to 1 while creating incredible value for scientists

You'll excel if you have experience in the following areas:

Multi-modal ML or unsupervised / self-supervised learning with image data modalities
End to end applied computer vision research
Deep learning R&D applied to non standard, thorny modeling problems
Deep learning for chemistry; especially pre-training, multi-modal training, and molecular property prediction
Machine learning with cell imaging data

What we look for:

Has done at least one piece of work, in industry or in academia, that shows exceptional machine learning talent
Strong engineering abilities (writing Pytorch NN code, working with data in numpy / pandas, interacting with training and inference pipelines, and writing more general software in Python and interacting with the cloud)
Extremely high potential to become a leader in the field of ML/AI research
Demonstrates extreme, obsessive curiosity for both the science and business
High ownership and agency, extremely ambitious

Hit apply or reach out to me at ali@bloomlifescience.com or 857-370-5757.

Keywords: Machine Learning, Deep Learning, Artificial Intelligence, AI, Biotechnology, Drug Discovery, Drug Development

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Machine Learning Researcher