Skip to content
PathAIPathAIBoston, MA

Machine Learning Engineer II/III

Develops and deploys machine learning models for biomedical research and product applications, collaborating with scientific, engineering, and product teams. The role spans independent delivery through technical leadership and requires Python, ML frameworks, deployment pipelines, and relevant graduate-level experience.

107k – 200k/yr
On-site5+ YOEML Engineering

About the role

Responsibilities

  • Design, develop, and deploy machine learning models for research and product development projects.
  • Collaborate with scientists, engineers, and product teams to translate biological and clinical requirements into scalable machine learning solutions.
  • Contribute to experimental design and analysis, including ideation, documentation, and reporting.
  • Participate in design reviews, journal clubs, machine learning best-practice initiatives, and governance activities.
  • Improve machine learning pipelines and infrastructure with MLOps and platform teams.
  • Publish and present scientific work, including abstracts, manuscripts, and conference contributions.

Level-Specific Expectations

Machine Learning Engineer II

  • Independently deliver projects.
  • Improve processes and mentor junior engineers.

Machine Learning Engineer III

  • Lead initiatives end to end.
  • Set technical direction.
  • Identify opportunities with clear business and scientific impact.

Requirements

Machine Learning Engineer II

  • Master’s degree plus 2–4 years of experience, or Ph.D. with 0–2 years of experience.
  • Proven track record developing and deploying machine learning models into production or research applications.
  • Strong proficiency in Python, machine learning frameworks, and data pipeline development.
  • Ability to work independently, contribute to experimental design, and improve machine learning workflows.
  • Strong communication and cross-functional collaboration skills.

Machine Learning Engineer III

  • Master’s degree plus 5+ years of experience, or Ph.D. with 3+ years of experience.
  • Deep expertise in machine learning, computer vision, or biomedical AI, with high-impact contributions through publications, open source, or products.
  • Mastery of machine learning frameworks, software engineering best practices, and deployment pipelines.
  • Ability to lead end-to-end projects, mentor others, and set technical direction.
  • Experience connecting technical improvements to business or clinical impact.
  • Strong contributions to scientific strategy, including abstracts, manuscripts, and conference presentations.

Compensation

  • Machine Learning Engineer II: $107,250–$164,450 annual pay range.
  • Machine Learning Engineer III: $130,500–$200,100 annual pay range.
  • Compensation packages are tailored based on skills, experience, qualifications, and other job-related factors.
  • Not overtime eligible.

Skills

PythonMachine LearningComputer Visionbiomedical aimachine learning frameworksData PipelinesMLOpsML InfrastructureSoftware Engineeringdeployment pipelinesexperimental designscientific publishing

Similar roles

ML Engineering jobs
GitLab

AI Engineer

GitLabUnited States

As an AI Engineer, you will build and deploy AI-powered solutions to drive business outcomes across Sales, Marketing, and Customer Support. This role requires strong engineering skills, systems thinking, and a product mindset to own initiatives from discovery to deployment.

108k – 130k/yrRemoteML Engineering
Writer

Software Engineer, Generative AI

WriterSan Francisco, CA +2

Build and scale secure generative AI services and applications using Python, LLMs, and modern frameworks. Own architecture decisions from proposal through production deployment for enterprise customers.

112k – 304k/yrHybrid3+ YOEML Engineering
Astera

Scientist

AsteraEmeryville, CA

Scientist building ensemble-aware protein representations and ML models that integrate dynamic structural data with PLMs, ligands, and functional info to advance dynamic structural biology. Requires PhD and experience with large bioinformatic pipelines.

100k – 180k/yrOn-siteML Engineering
Astera

General DiffUSE Job Application

AsteraEmeryville, CA

Open general application for computational biology, ML research, data science, software engineering, and program roles at DiffUSE, focused on protein dynamics, structural data infrastructure, and open science tooling.

100k – 300k/yrOn-siteML Engineering
Axle

AI/ML Scientist/Developer

AxleFrederick, MD

Develops machine learning models to predict and optimize organoid growth and differentiation protocols using biological data. Requires Master's/PhD in CS/engineering/math, Python/R proficiency, and ML frameworks like TensorFlow/PyTorch, with biology lab experience.

115k – 130k/yrOn-siteML Engineering