PathAI

Machine Learning Engineer

• Architect and build infrastructure and automation, in AWS and on-premises, to support ML application development and deployment
• Drive system design and lead architectural discussions for our MLOps suite, ensuring it meets performance, security, and compliance requirements
• Lead technical initiatives by researching, evaluating, and implementing new MLOps tools, frameworks, and best practices
• Collaborate with machine learning engineers, data scientists, product engineering, and infrastructure teams to bridge the gap between research and production
• Optimize ML workflows, ensuring models are efficiently and reproducibly deployed & monitored
• Champion engineering excellence by enforcing high coding standards, conducting design reviews, and mentoring junior engineers
• Automate ML operations, including CI/CD for ML models, feature engineering pipelines, and deployment strategies using Kubernetes, Airflow, and other orchestration tools.

Senior Software Engineer, MLOps

Technical Writer

• Take ownership of managing all regulated, user-facing documentation for PathAI’s medical devices across our Digital Diagnostics (DDx), Translational Research (TxR), and Clinical Development Services departments.
• Collaborate with cross-functional partners including Product, Engineering, Customer Success, Legal, Marketing, Regulatory and Clinical Affairs, and Quality.
• Work closely with Engineering and Product teams to ensure technical accuracy and consistency between system behavior, design specifications, and documentation deliverables.
• Support Regulatory and Quality teams during audits, submissions, and reviews by providing accurate, compliant documentation and traceability records.
• Serve as the primary liaison between PathAI and external translation vendors, managing handoff, quality, timelines, budgetary quotes, and delivery of translated materials.
• Translate technical documentation into user-facing training materials such as videos and self-service support articles.
• Ensure documentation meets global regulatory and linguistic standards, including FDA, IVDR, and ISO requirements.
• Leverage content reuse and single-sourcing strategies to build and maintain a structured knowledge base, enabling internal teams and customers to easily access accurate, consistent information.

• Contribute to the design, development, and evaluation of machine learning models for our AI products, AI services and core ML models.
• Work on subprojects derived from our ongoing ML product roadmap, focusing on areas like model improvements with novel techniques.
• Partner with our MLOps and platform teams to help build and improve our ML pipelines.
• Participate in experimental design, analysis, and team knowledge-sharing initiatives like design reviews, technical forums and journal clubs.

Machine Learning Intern/Co-op – Spring/Summer 2026

Recruitment

• Schedule and coordinate interviews for candidates across multiple teams, ensuring a seamless and professional process
• Communicate frequently and clearly with candidates to prepare them for interviews and keep them informed
• Ensure interviewers have the resources and context they need to conduct effective interviews
• Maintain data integrity in our Applicant Tracking System (ATS) and contribute to process improvements
• Support the recruiting team with administrative tasks, candidate logistics, and ad-hoc projects
• Provide an excellent experience for candidates and internal stakeholders throughout the hiring journey
• Support the growth and engagement of PathAI’s pathologist network
• Assist with proactive outreach and engagement strategies to ensure pathologists are aware of and engaged with the PathAI contributor network
• Respond quickly to pathologist questions and provide a positive, solutions-oriented experience
• Contribute to workflow improvements and community support processes
• Manage and pay pathologist invoices

Talent Acquisition Coordinator

Backend Engineer

• Solve interesting problems with code.
• Build new features for internal and external users, and refactor existing ones to make them better.
• Work with a wide range of systems, processes, and technologies to solve problems in sustainable ways. Sometimes you'll be neck-deep in low-level systems, and other times you'll be pairing up with the front-end team on the user interface.
• Develop and enhance backend features to support internal and external users.
• Contribute to the evolution of our application platform by participating in technical discussions and architecture planning.
• Collaborate with product managers, designers, front-end engineers, machine learning engineers, and infrastructure teams to develop and refine software solutions.
• Follow established engineering standards, participate in code reviews, and ensure software is adequately tested and integrated.
• Take responsibility for writing well-documented, reliable, and efficient code.
• Support the development of software as a medical device, contributing to improving patient outcomes.
• Assist in implementing backend services for system integrations, including working with HL7 standards.
• Help develop data pipelines and interfaces using Kafka.

Software Engineer II, Backend

IT Support

• Manage and mentor a team of help desk technicians; set performance goals and conduct regular performance reviews.
• Oversee help desk operations; ensure timely resolution of user inquiries and troubleshoot hardware, software, and network problems.
• Coordinate with other IT teams to escalate complex issues and contribute to IT strategy and the IT roadmap.
• Maintain Google Workspace: configure user accounts, permissions, access controls, and collaborate on onboarding.
• Manage Okta SSO integration with Google Workspace: set up SAML-based SSO and automate user provisioning/deprovisioning.
• Ensure security and compliance: monitor user access and permissions, participate in security audits and risk assessments.
• Vendor management: work with vendors including Google and Okta to resolve issues and evaluate new tools.
• Documentation and training: maintain IT process documentation and conduct end-user training on Google Workspace and Okta SSO.

Lead IT Specialist

Translator

• Support execution of PathAI’s business and academic partnerships, including strategic projects, external collaborations and internal initiatives.
• Responsible for day-to-day operations of current project relationships and support development of new activities.
• Lead internal scientific strategy within disease areas and drive scientific and strategic development of company projects.
• Drive and uphold rigorous scientific standards, ensuring consistency of analyses and adequate review of discoveries.
• Apply cutting edge approaches to understand disease biology to improve precision medicine and biomarker development.
• Solve problems with machine learning and data science and oversee day-to-day technical developments.
• Manage relationships with internal and external stakeholders and collaborate across product, design, engineering, machine learning, business operations, and infrastructure teams.
• Recommend and prioritize platform features for internal and external users and mentor team members.

Senior Translational Science Lead

Compliance

• Ensure compliance to the company’s Quality Management System and to pre- and post-market regulations that pertain to PathAI’s RUO, IVD, and clinical products
• Represent RAQA in company-specific projects for diagnostic and clinical development services
• Maintain/manage key QMS processes (e.g., document control) and improve QMS aligned to FDA QSR/21 CFR 820, ISO 13485, ISO 14971, IEC 62304
• Provide risk and regulatory assessments during design control and change control activities
• Participate as subject matter expert in customer audits, certification body audits and regulatory inspections as needed
• Build and execute global regulatory plans; prepare and coordinate pre-subs, 510(k)s, de novos, PMAs, and ex-US filings; participate in agency interactions
• Shape registration strategy and author technical file/design dossier content in partnership with Product, ML, Clinical, and Engineering
• Review and potentially approve product promotional material and customer notifications to ensure alignment with regulatory status
• Guide teams through design inputs/outputs, V&V, risk management, usability, design transfer, and clinical/labeling impacts
• Serve as the day-to-day RAQA partner to Product/ML/Engineering/Clinical/LabOps, resolving issues that affect project timelines

Senior Regulatory and Quality Specialist

• Oversee execution of multiple translational research projects/contracts with key clients to meet company goals and strengthen partner relationships
• Oversee execution of multiple programs to drive company-wide scientific and business strategy
• Develop client relationships and pursue new opportunities to drive business growth
• Responsible for professional development of team of program / project managers / support staff
• Responsible for hiring and training activities
• Collaborate and liaise across internal stakeholders including the business development, product, and machine learning teams, providing hypotheses for novel biological insights and strategy roadmaps for project completion.

Director of Translational Research, Oncology

• Improve patient outcomes with AI-powered pathology; work on ML algorithms for histopathology, translational research, labs, and clinical trials.
• Work closely with biomedical data science, product development, translational research, MLOps and platform engineering to develop and deploy models.
• Independently execute machine learning model development for research and product projects following ML best practices.
• Understand product requirements in biological and clinical context and propose changes to model design, product requirements, or analysis plans.
• Demonstrate mastery of established and state-of-the-art ML methods and uphold ML team best practices.
• Engage with team governance, documentation, knowledge sharing, hiring and onboarding initiatives.
• Identify technical limitations of the platform and propose solutions for core problems in digital pathology.
• Contribute to scientific strategy via abstract submissions, manuscript preparation, and creation of external materials.