Senior AI/ML Engineer - Biology & Genomics Architect

Jobtailor; California (MO); On-site; USD 180,000 - 240,000; Full time

Job summary

Jobtailor is seeking an experienced ML/AI engineering leader to convert complex biological questions into mathematical problems and deliver end-to-end AI/ML solutions. You will mentor cross-functional teams, drive quarterly outcomes, and demonstrate transparent communication with leadership.

You will champion best practices in ML, software engineering, and model safety while balancing research velocity and operational reliability across biology-focused data pipelines.

Qualifications

• Master’s degree in a related field; PhD a plus.
• 7+ years with deep learning algorithms and scalable training.
• 7+ years in software development with Agile delivery.
• 5+ years in technical lead or engineering management with direct reports.
• 7+ years with Python and PyTorch.
• Experience with biological sequence and network data.

Responsibilities

• Convert complex biological questions into tractable mathematical problems.
• Decompose large problems into quarterly measurable results and deliver them through sprints.
• Mentor multidisciplinary engineering team members and guide delivery.
• Demo work early and often balancing research and velocity.
• Champion ML, software engineering, code review, and best practices.
• Define technical roadmaps for AI/ML products balancing safety and reliability.
• Communicate transparently with leadership and organization.
• Ensure models are explainable, safe, and relevant with stakeholders.
• Deliver end-to-end AI/ML solutions from data sourcing to services.

Skills

Machine Learning Algorithms

Python Programming

PyTorch Framework

Software Development Best Practices

Technical Leadership

Biological Sequence Data

Genomics

Proteomics

Agile Methodologies

Mentoring

Communication

Collaboration

Task Delegation

Transparency

Education

Master’s degree in a related field

PhD in Quantitative Field

Tools

CI/CD Pipelines

Job description

Jobtailor is seeking an experienced ML/AI engineering leader to convert complex biological questions into mathematical problems and deliver end-to-end AI/ML solutions. You will mentor cross-functional teams, drive quarterly outcomes, and demonstrate transparent communication with leadership.

You will champion best practices in ML, software engineering, and model safety while balancing research velocity and operational reliability across biology-focused data pipelines.