ML Engineer, Biological Foundation Models

Metric Bio; Boston (MA); On-site; USD 180,000 - 260,000; Full time

Benefits offered by this job

Competitive salary

Work with top talent

Impact millions of lives

Job summary

A biotechnology firm is seeking a Machine Learning Engineer to design and optimize innovative models for biological data. The role emphasizes collaboration with computational biologists and aims to redefine cell therapy development. Candidates should have significant experience in ML and deep learning, a strong publication record, and expertise in Python and ML frameworks. This position offers competitive compensation and a chance to make impactful changes in the biotechnology field.

Qualifications

• 6+ years of experience in ML, deep learning, or foundation models.
• First-author publications in top-tier ML/biology journals.
• Strong skills in Python and experience with ML frameworks.

Responsibilities

• Design and optimize foundation models for omics data.
• Build scalable distributed pipelines for training.
• Collaborate with biologists to ensure outputs are meaningful.

Skills

Machine learning

Deep learning

Python

PyTorch/TensorFlow

Transformers

Generative models

Education

PhD in a relevant field or equivalent experience

Tools

Python

PyTorch

TensorFlow

Job description

A biotechnology firm is seeking a Machine Learning Engineer to design and optimize innovative models for biological data. The role emphasizes collaboration with computational biologists and aims to redefine cell therapy development. Candidates should have significant experience in ML and deep learning, a strong publication record, and expertise in Python and ML frameworks. This position offers competitive compensation and a chance to make impactful changes in the biotechnology field.