# Machine Learning Engineer II/III (Applied Research & Model Development)

**Company:** [PathAI](https://hotfix.jobs/companies/pathai)
**Location:** Boston, MA, New York, NY
**Role:** ML Engineering
**Salary:** $107k – $200k/yr
**Experience:** 2+ years
**Skills:** Python, Machine Learning, Computer Vision, Ml Frameworks, Data Pipelines, MLOps, PyTorch, TensorFlow, Software Engineering, Biomedical Ai
**Posted:** 2026-04-22

> Designs, develops, and deploys ML models for research and product development in pathology AI, collaborating with scientists and engineers on biological/clinical applications. Requires Master's/PhD, Python/ML expertise, production deployment experience; leads projects at senior levels.

## Job Description

## Responsibilities

- Design, develop, and deploy machine learning models for research and product development projects.
- Collaborate cross-functionally with scientists, engineers, and product teams to translate biological and clinical requirements into scalable ML solutions.
- Contribute to experimental design and analysis, including ideation, documentation, and reporting.
- Participate in knowledge sharing and team initiatives (e.g., design reviews, journal clubs, ML best practices, governance activities).
- Improve ML pipelines and infrastructure in partnership with MLOps and platform teams.
- Publish and present scientific work, supporting abstracts, manuscripts, and conference contributions.

**Level-specific expectations:**

**MLE II:** Independently deliver on projects, improve processes, and mentor junior engineers.

**MLE III:** Lead initiatives end-to-end, set technical direction, and identify new opportunities with clear business and scientific impact.

## Requirements

**MLE II:**
- Master's degree plus 2–4 years of experience, or Ph.D. with 0–2 years of experience.
- Proven track record of developing and deploying machine learning models into production or research applications.
- Strong proficiency in Python, ML frameworks, and data pipeline development.
- Demonstrated ability to work independently on projects, contribute to experimental design, and improve ML workflows.
- Strong communication skills and ability to collaborate across scientific and engineering teams.

**MLE III:**
- Master's degree plus 5+ years of experience, or Ph.D. with 3+ years of experience.
- Deep expertise in ML, computer vision, or biomedical AI, with a history of high-impact contributions (publications, open-source, or products).
- Mastery of ML frameworks, software engineering best practices, and deployment pipelines.
- Ability to lead end-to-end projects, mentor others, and set technical direction.
- Experience articulating technical improvements into business or clinical impact.
- Strong record of contributions to scientific strategy (abstracts, manuscripts, conference presentations).

## Compensation

**Machine Learning Engineer II:** $107,250 - $164,450  
**Machine Learning Engineer III:** $130,500 - $200,100  
Not overtime eligible. Eligible for equity.

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