Machine Learning Engineer II/III – Applied Research, Model Development

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🗽 New York, Massachusetts – Remote

🗽 New York – Remote 🍂 Massachusetts – Remote

💵 $107.3k - $164.4k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

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PathAI

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2016

🏥 Healthcare

💼 Consulting

📦 Logistics

💰 $165M Series C on 2021-05

Healthcare • Consulting • Logistics

PathAI is a leading healthcare technology company dedicated to advancing pathology through the use of artificial intelligence. Their mission is to improve patient outcomes by providing AI-powered technology that offers valuable insights for biomarker discovery and drug development. PathAI collaborates closely with biopharma and pathology laboratories to enhance laboratory workflows and improve diagnostics. Their AI-driven pathology solutions, such as the AISight Digital Pathology Image Management System, are utilized by major laboratories and research centers worldwide, helping to power digital pathology and precision medicine initiatives. PathAI's technology is leveraged by top biopharma companies to transform drug discovery and diagnostics, making significant contributions to the fields of healthcare and biotechnology.

📋 Description

• 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 ML solutions • Contribute to experimental design and analysis, including ideation, documentation, and reporting • Participate in design reviews, journal clubs, ML best-practice initiatives, knowledge sharing, and governance activities • Improve ML pipelines and infrastructure with MLOps and platform teams • Publish and present scientific work, including abstracts, manuscripts, and conference contributions • Independently deliver projects, improve processes, 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: Master’s degree plus 2–4 years of experience, or Ph.D. with 0–2 years of experience • MLE III: Master’s degree plus 5+ years of experience, or Ph.D. with 3+ 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 • 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: Deep expertise in ML, computer vision, or biomedical AI, with high-impact contributions through publications, open-source, or products • MLE III: Mastery of ML frameworks, software engineering best practices, and deployment pipelines • MLE III: Ability to lead end-to-end projects, mentor others, and set technical direction • MLE III: Experience connecting technical improvements to business or clinical impact • MLE III: Strong record of contributions to scientific strategy, including abstracts, manuscripts, and conference presentations

🏖️ Benefits

• Equal opportunity employer and workplace free of harassment and discrimination • Annual base salary range of $107,250–$164,450 for Machine Learning Engineer II or $130,500–$200,100 for Machine Learning Engineer III • Opportunity to work alongside leading innovators in AI and medicine • Opportunity to contribute to patient-focused products and scientific work