# Machine Learning Engineer

**Company**: Bighatbiosciences
**Location**: San Mateo, CA
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full time
**Salary**: $150,000 - $200,000
**Category**: Engineering
**Industry**: Healthcare

**Apply**: https://bighatbiosciences.pinpointhq.com/en/postings/3d8a0971-20d7-4226-a6cf-97ad1d1ce33b?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_506ea482-0e5

## Description

We are seeking a creative, ambitious Machine Learning Scientist or Engineer to advance the state of the art in ML-driven therapeutic antibody design.

At BigHat Biosciences, our full-stack antibody drug development platform uses AI/ML to drive every stage from discovery to optimization. Our roboticized high-throughput wet-lab continually adds to our large proprietary datasets, which are piped through a custom LIMS++ data management and orchestration layer to automatically update and deploy the latest models.

## Key Responsibilities

- Design and implement the next state-of-the-art generative models of antibody sequence and structure, and predictive models of antibody properties, trained on proprietary internal datasets of thousands to millions of antibodies.

- Develop multi-modality, multi-objective iterative protein sequence optimization approaches to lab-in-the-loop antibody design problems for validation and deployment in our high-throughput wet lab.

- Develop, refine, and deploy agentic and LLM-driven optimization methods to further automate and accelerate our design-build-test loop.

- Provide ML expertise and support for ongoing therapeutics programs, directly contributing to the development of new drugs.

- Collaborate with our engineering team to ensure maximal efficiency in the automated deployment of our latest models and methods.

- Work closely with an interdisciplinary team of drug developers, wet lab scientists, automation specialists, data scientists, etc.

## Skills, Knowledge & Expertise

- Masters in ML/CS/EE or Bachelors with 3+ years industry experience; hands on experience developing and applying novel ML methods and a strong quantitative background.

- Strong competency in Python, familiarity with PyTorch and experience with modern software engineering best practices.

- Excellent communication skills, sufficient biomedical domain knowledge to interact effectively with diverse scientific teams.

- Energy and ambition - ready to dive into a fast-paced environment and execute across multiple projects.

- Familiarity with the current state-of-the-art in ML-driven protein engineering.

## Benefits

The salary estimated for this position is $150,000 - $200,000 + bonus + options + benefits.

## Skills

### Required
- Python
- PyTorch
- ML
- CS
- EE

### Nice to have
- de novo design
- NGS data
- Bayesian optimization
- antibody biology
- drug development
- AWS
- publications at major ML conferences

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Source: [Apply at bighatbiosciences.pinpointhq.com](https://bighatbiosciences.pinpointhq.com/en/postings/3d8a0971-20d7-4226-a6cf-97ad1d1ce33b?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)