Jobs / United States / Pathai INC
Machine Learning Engineer II (Applied Research & Model Development)
Pathai INC · 🇺🇸 Boston (Onsite), New York (Onsite) Preferred, or Remote · Remote
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 13 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 5 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Pathai INC paid sponsored hires in similar roles3 certified filings for “Machine Learning Engineer III” (Computer and Information Research Scientists) in CA: $128k–$131k, median $131k. Most were filed at wage level I (100%) — 1 lottery entry, ≈15% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
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Sponsor Radar — Pathai INC
The US Department of Labor certified 13 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 5 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Pathai INC →
About the role
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 and artificial intelligence. We have a track record of success in deploying AI algorithms for histopathology in translational research, pathology labs and clinical trials. Rigorous science and careful analysis is critical to the success of everything we do. Our team, composed of diverse employees with a wide range of backgrounds and experiences, is passionate about solving challenging problems and making a huge impact on patient outcomes. The Opportunity We are seeking Machine Learning Engineers (Applied Research & Model Development) to tackle unique machine learning challenges to advance medicine and improve patient care. You will work closely with teams across biomedical data science, product development, translational research, MLOps, and platform engineering to develop and deploy machine learning models for our AI products and services. You will have the opportunity to work in a company where all employees put patients first. We believe that every team member provides valuable contributions to our success, and no task is too small for anyone if it's important to our company goals. Every PathAI employee is a contributor to our mission to pioneer better patient care by providing the best, most innovative AI tools to biotech, pathologists, clinicians and healthcare organizations. You will work alongside and with leading innovators in the field of AI and medicine and you will play a critical role in product development to impact patient outcomes. • You will design, develop, and deploy machine learning models for research and product development projects. • You will collaborate cross-functionally with scientists, engineers, and product teams to translate biological and clinical requirements into scalable ML solutions. • You will contribute to experimental design and analysis, including ideation, documentation, and reporting. • You will participate in knowledge sharing and team initiatives (e.g., design reviews, journal clubs, ML best practices, governance activities). • You will improve ML pipelines and infrastructure in partnership with MLOps and platform teams. • You will publish and present scientific work, supporting abstracts, manuscripts, and conference contributions. Who You Are: (Required) • You have a Master’s degree in Machine Learning, Computer Science, Data Science, Statistics, Applied Mathematics (or a closely related discipline) plus 2–4 years of experience, or a PhD Machine Learning, Computer Science, Data Science, Statistics, Applied Mathematics (or a closely related discipline) with 0–2 years of experience. • You have a proven track record of developing and deploying machine learning models into production or research applications. • You are highly proficient in Python, ML frameworks, and data pipeline development. • You have demonstrated the ability to contribute to experimental design, and improve ML workflows. • You have demonstrated the ability to collaborate across scientific and engineering teams. Preferred: • You have the ability to work independently. • You have strong interpersonal and communication skills, with the ability to explain technical concepts to non-experts and thrive in ambiguous environments. • You have excellent organizational skills and the ability to prioritize and manage multiple projects efficiently. This position is based in Boston, NYC or remote. Relocation benefits are not available for this position. The expected salary range for this position based on the primary location Boston, MA is $107,250 - $177,000. Actua