PathAI Visa Sponsorship Jobs USA
PathAI is an AI-powered pathology company working to improve diagnostic accuracy in oncology and beyond. It sponsors a range of visa types suited to research and technology roles, making it a legitimate target for international candidates in the life sciences and data science space.
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Who We Are
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.
ABOUT THE ROLE
Where You Fit
We are seeking Machine Learning Engineers (Applied Research & Model Development) to join our team and 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.
Responsibilities
As an MLE (Applied Research & Model Development) at PathAI, your responsibilities will grow in scope as you progress through levels:
- 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 I: Contribute to projects with guidance, implement models, and learn best practices.
- 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.
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.
BASIC QUALIFICATIONS
We welcome applicants across all MLE levels. Minimum qualifications differ by level:
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
The cash compensation outlined below includes base salary or hourly wage and on-target commission for employees in eligible roles. The summary below indicates if an employee in this position is eligible for annual bonus, overtime pay and equity awards. Individual compensation packages are tailored based on skills, experience, qualifications, and other job-related factors.
- Annual Pay Range
Machine Learning Engineer II: $107,250 - $164,450
Machine Learning Engineer III: $130,500 - $200,100
Not Overtime Eligible
Eligible for Equity
We Want To Hear From You
At PathAI, we are looking for individuals who are team players, are willing to do the work no matter how big or small it may be, and who are passionate about everything they do. If this sounds like you, even if you may not match the job description to a tee, we encourage you to apply. You could be exactly what we're looking for.
PathAI is an equal opportunity employer, dedicated to creating a workplace that is free of harassment and discrimination. We base our employment decisions on business needs, job requirements, and qualifications — that's all. We do not discriminate based on race, gender, religion, health, personal beliefs, age, family or parental status, or any other status. We don't tolerate any kind of discrimination or bias, and we are looking for teammates who feel the same way.
INTRODUCTION
Who We Are
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.
ABOUT THE ROLE
Where You Fit
We are seeking Machine Learning Engineers (Applied Research & Model Development) to join our team and 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.
Responsibilities
As an MLE (Applied Research & Model Development) at PathAI, your responsibilities will grow in scope as you progress through levels:
- 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 I: Contribute to projects with guidance, implement models, and learn best practices.
- 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.
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.
BASIC QUALIFICATIONS
We welcome applicants across all MLE levels. Minimum qualifications differ by level:
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
The cash compensation outlined below includes base salary or hourly wage and on-target commission for employees in eligible roles. The summary below indicates if an employee in this position is eligible for annual bonus, overtime pay and equity awards. Individual compensation packages are tailored based on skills, experience, qualifications, and other job-related factors.
- Annual Pay Range
Machine Learning Engineer II: $107,250 - $164,450
Machine Learning Engineer III: $130,500 - $200,100
Not Overtime Eligible
Eligible for Equity
We Want To Hear From You
At PathAI, we are looking for individuals who are team players, are willing to do the work no matter how big or small it may be, and who are passionate about everything they do. If this sounds like you, even if you may not match the job description to a tee, we encourage you to apply. You could be exactly what we're looking for.
PathAI is an equal opportunity employer, dedicated to creating a workplace that is free of harassment and discrimination. We base our employment decisions on business needs, job requirements, and qualifications — that's all. We do not discriminate based on race, gender, religion, health, personal beliefs, age, family or parental status, or any other status. We don't tolerate any kind of discrimination or bias, and we are looking for teammates who feel the same way.
Job Roles at PathAI
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Get Access To All JobsTips for Finding PathAI Visa Sponsorship Jobs USA
Target roles at the intersection of AI and pathology
PathAI's sponsorship activity concentrates in technical and research disciplines. Focusing your application on computational biology, machine learning, or clinical data science roles puts you where international hiring is most likely to happen.
Understand which visas PathAI actually sponsors
PathAI sponsors H-1B, TN, F-1 OPT, F-1 CPT, J-1, and Green Card pathways. Knowing which visa applies to your situation before you apply signals genuine preparation and helps you ask the right questions during the hiring process.
OPT and CPT candidates should apply early
PathAI's willingness to sponsor F-1 OPT and CPT makes it accessible to recent graduates, but timelines are tight. Applying well before your OPT start date gives the company enough runway to initiate sponsorship without delays.
Canadian and Mexican nationals have a faster path in
PathAI sponsors the TN visa, which skips the H-1B lottery entirely. If you qualify under a TN-eligible occupation in science or technology, this is often a quicker route to starting work than waiting on H-1B selection.
Look for open roles with verified sponsorship history
Not every posting makes sponsorship eligibility clear. Migrate Mate surfaces verified sponsors so you can filter by real sponsorship history, helping you focus your time on PathAI roles most likely to support your visa category.
Prepare to speak to your research impact, not just your technical skills
PathAI operates in a mission-driven Science & Research environment. Interviewers respond well to candidates who can connect their work to diagnostic outcomes, so frame your experience around measurable scientific or clinical contributions.
Frequently Asked Questions
Does PathAI sponsor H-1B visas?
Yes, PathAI sponsors H-1B visas. The company has a track record of supporting H-1B petitions for roles in technical and research disciplines, particularly in areas like machine learning, computational pathology, and software engineering. If you're an international candidate in one of these fields, PathAI is a viable H-1B sponsor to pursue.
Which visa types does PathAI sponsor?
PathAI sponsors H-1B, TN visa, F-1 OPT, F-1 CPT, J-1 visa, and Green Card (EB-2 and EB-3) pathways. This breadth makes PathAI accessible to a wide range of international candidates, from recent graduates on OPT to experienced professionals seeking long-term permanent residency options through an employment-based Green Card.
Which roles at PathAI are most likely to receive visa sponsorship?
Sponsorship at PathAI is most common in technically specialized roles tied to its core business: AI and machine learning engineering, computational biology, software development, and clinical research. These positions typically require advanced degrees or specialized expertise, which aligns with the specialty occupation requirements for H-1B and the eligibility criteria for EB-2 Green Cards.
How do I find open roles at PathAI that offer visa sponsorship?
Migrate Mate lists PathAI roles with verified sponsorship data, so you can confirm sponsorship eligibility before applying rather than finding out late in the process. Filter by visa type to match open positions to your specific situation, whether you're on OPT, seeking an H-1B, or exploring TN eligibility as a Canadian or Mexican national.
How do I time my application to PathAI around the H-1B cap season?
H-1B registration opens in March each year, with the cap lottery running shortly after. To be sponsored in that cycle, you typically need an offer in hand by February. Targeting PathAI roles in late autumn or early winter gives both sides enough time to prepare the petition before the registration window opens.