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
