about 2 hours ago
Remote, Worldwide +2 moreMid Level / Senior
H1B Sponsor
Base Salary
$107k - $200k/yr
Responsibilities
- Design, develop, and deploy machine learning models for research and product development.
- Translate biological and clinical requirements into scalable machine learning solutions with scientists, engineers, and product teams.
- Contribute to experimental design, analysis, ideation, documentation, and reporting.
- Improve machine learning pipelines and infrastructure with MLOps and platform teams.
- Share knowledge through design reviews, journal clubs, best-practice initiatives, and governance activities.
- Publish and present scientific work, including abstracts, manuscripts, and conference contributions.
- Independently deliver projects and mentor junior engineers at MLE II level.
- Lead initiatives end to end, set technical direction, and identify opportunities with business and scientific impact at MLE III level.
Requirements
- MLE II requires a master’s degree plus 2–4 years of experience, or a Ph.D. with 0–2 years of experience.
- MLE III requires a master’s degree plus 5+ years of experience, or a Ph.D. with 3+ years of experience.
- Demonstrated experience developing and deploying machine learning models for production or research applications.
- Strong proficiency in Python, machine learning frameworks, and data pipeline development.
- MLE III candidates should have deep expertise in machine learning, computer vision, or biomedical AI and high-impact contributions through publications, open source, or products.
- MLE III candidates should be able to lead end-to-end projects, mentor others, set technical direction, and connect technical improvements to business or clinical impact.
- Strong communication, collaboration, experimental design, scientific strategy, and technical documentation skills are required.
Benefits
- Annual base salary ranges from $107,250 to $200,100 depending on level.
- Not overtime eligible.
About PathAI
PathAI's mission is to improve patient outcomes with AI-powered pathology. Our platform promises substantial improvements to the accuracy of diagnosis and the efficacy of treatment of diseases like cancer, leveraging modern approaches in machine learning. We are a company of diverse employees with a wide range of backgrounds and experiences. Our world class team is passionate about solving challenging problems and making a huge impact. Our office is located in the heart of Fenway. PathAI was recently voted one of BBJ's Best Places to Work!