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 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. We're looking for intellectually curious and driven engineering students to help lay the groundwork for our growing machine learning automation systems. Our MLOps team builds and scales the machine learning infrastructure that powers PathAI's enterprise AI systems in research and production production — spanning cloud infrastructure (AWS and on-prem), Kubernetes, distributed systems, and observability. We care as much about reliability and reproducibility as we do about speed: everything we ship should be dependable, well-tested, and easy for other engineers to build on. As a co-op, you'll get a broad, hands-on introduction to ML automation. Timeline: This opportunity is for Fall 2026 / Winter 2027. We are looking for interns/co-ops who can commit to 3 - 6 months at PathAI. (4 - 6 months preferred) Location: Boston, MA This is a hybrid position, with the expectation of 3 days onsite. What You'll Do - Solve interesting problems with code. - Build new features for internal users, and refactor existing ones to make them better. - Interface directly with team members of all levels - 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 to build developer features. - Collaborate with machine learning and infrastructure teams. - Drive and uphold high engineering standards, bringing consistency to the codebases you encounter and ensuring software is adequately reviewed, tested, and integrated. - Learn and share knowledge with others along the way. Who You Are: - You are enrolled in a Bachelor’s or Master’s in Computer Science (or related field. - You have completed at least 50% of your degree program. - You have previous work experience: internship in this field, volunteer work, or a summer gig waiting tables. - You are proactive and have demonstrated the ability to learn quickly in a complex space Preferred: - You have excellent communication skills and a desire to work in a highly collaborative, cross-functional environment. - You have participated in student organization and/or other leadership activities The expected salary range for this position based on the primary location of Boston, MA is $30-50 per hour. Actual pay will be determined on experience, qualifications, geographic location, and other job-related factors permitted by law. This position also qualifies for paid holiday time off. PathAI is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.

PathAI's mission is to improve patient outcomes with AI-powered pathology. PathAI is transforming traditional pathology methods into powerful, new technologies. These innovations in pathology can help accelerate drug development, improve confidence in the accuracy of diagnosis, and get life-saving therapies to patients more quickly. At PathAI, you'll work with a diverse and talented team of people, who are dedicated to solving complex problems and making a huge impact. We are seeking a highly skilled Senior Software Engineer (MLOps) . In this position, you play a key role in designing, developing, and scaling machine learning infrastructure that powers our enterprise AI systems. You’re someone who enjoys designing and building for reliability, relishes collaboration and technical challenges, and takes pride in making things work better. The Opportunity - You will architect and build infrastructure and automation, in AWS and on-premises, to support ML application development and deployment - You will drive system design and lead architectural discussions for our MLOps suite, ensuring it meets performance, security, and compliance requirements. - You will lead technical initiatives by researching, evaluating, and implementing new MLOps tools, frameworks, and best practices. - You will collaborate with machine learning engineers, data scientists, product engineering, and infrastructure teams to bridge the gap between research and production. - You will optimize ML workflows, ensuring models are efficiently and reproducibly deployed & monitored. - You will champion engineering excellence by enforcing high coding standards, conducting design reviews, and mentoring junior engineers. - You will automate ML operations, including CI/CD for ML models, feature engineering pipelines, and deployment strategies using Kubernetes, Airflow, and other orchestration tools. Who You Are: (Required) - You have a BS or Master’s in Computer Science, Computer Engineering, Software Engineering or closely related field. - You have 5+ years of software engineering experience , with a focus on building production-grade frameworks or applications - You have strong software engineering skills in complex, multi-language systems and experience with scalable backend architecture. - You have experience with Kubernetes and cloud computing platforms (AWS preferred). - You have experience with observability and monitoring tools (e.g., Prometheus, Grafana, Datadog). - You have a solid understanding of DevOps principles and infrastructure-as-code (Helm, Terraform). - You have experience owning development platforms and serving internal customers - You have a solid level of proficiency in Python + exposure to additional languages Preferred: - You have experience with ML frameworks like PyTorch or Scikit-learn. - You have experience with data workflow orchestration frameworks (e.g., Airflow, Kubeflow). - You have expertise in MLOps principles , including model lifecycle management, feature stores, model monitoring, and CI/CD for ML. - You have experience with streaming data processing (Kafka, Flink, or Spark Streaming). - You have a solid level of familiarity with security and compliance best practices in ML systems. - You have experience using AI assistants (e.g. CoPilot, Cursor) in development. - You have outstanding interpersonal, verbal, and written communication and influencing skills: have built and cultivated important relationships both inside and outside of the organization and externally; have proven abilities to influence internal partners and stakeholders, thought leaders, national advocacy organizations, national standard-setting bodies, and other relevant external parties. - You have strong analytical and critical thinking skills with attention to detail; you have the ability to manage multiple projects and drive results in a fast-paced environment; you have a collaborative mindset with demonstrated leadership capabilities. This is a hybrid position based in Boston, MA. (A remote option may be considered for an exceptional candidate.) Relocation benefits are not available for this position. The expected salary range for this position based on the primary location Boston, MA is $127,500 - $195,500. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. PathAI is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.

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. PathAI is looking for an experienced, strategic Staff AI Product Manager to help shape and execute our core product roadmap. As a Staff PM, you will serve as a strategic leader and cross-functional connector, partnering closely with machine learning, pathology, biomedical data science, clinical affairs, quality, regulatory, and business operations teams. You will be responsible for defining multi-year product visions, building business cases, and driving high-impact AI/ML algorithms from initial scientific discovery to deployment. This role offers a high-visibility opportunity to lead zero-to-one product initiatives and scale existing algorithm portfolios in a fast-growing, dynamic health-tech environment. The Opportunity: - Drive Strategic AI Product Vision: Define and execute the multi-year product strategy and roadmap for PathAI algorithm products within a key business unit or disease area (e.g., oncology). - Lead End-to-End Product Lifecycle: Conduct product explorations, build business cases, define requirements, oversee prototyping, and lead the cross-functional deployment of new AI products and product line extensions. - Cross-Functional Leadership: Partner closely with AI/ML engineers, data scientists, clinical specialists, product designers, and pathologists to translate complex algorithmic discoveries into scalable, user-centric clinical and research tools. - Commercial & Scientific Alignment: Build compelling business cases to motivate the development of novel technical, scientific, and platform capabilities for PathAI. - Regulatory & Quality Integration: Collaborate with Clinical Affairs, Quality, and Regulatory teams to support validation strategies (including SaMD considerations) for clinical trials and regulatory pathways. Who You Are: (Required) - You have a bachelor’s or advanced degree in Computer Science, Computational Biology, Biomedical Engineering, Biology, or a related technical/scientific field. - You have 7+ years of experience in product management, with a track record of launching and scaling production AI/ML, data science, or bioinformatics products. - You have demonstrated experience driving product development within healthcare, life sciences, digital pathology, or biotech domains. - You have a demonstrated understanding of the end-to-end AI/ML product lifecycle, including model development, dataset curation, evaluation metrics, and monitoring algorithms post-launch. - You have exceptional cross-functional collaboration and communication skills, with a demonstrated ability to influence stakeholders across technical, scientific, clinical, and executive teams. Preferred Qualifications: - You have experience with Software as a Medical Device (SaMD) and familiarity with regulatory frameworks (e.g., FDA 510(k)/PMA pathways, CE-IVD). - You are a subject matter expertise or background in oncology, histopathology, or biomarker discovery. - You have experience building products for translational research, biopharma partnerships, or clinical trial operations. - You have excellent interpersonal and communication skills, with a proven ability to collaborate effectively within and across teams. - You have excellent organizational skills, including the ability to efficiently evaluate, prioritize and handle multiple changing projects and priorities; you complete work in a timely, accurate and thorough manner This position is based in Boston, MA (preferred) or NYC. Relocation benefits are not available for this position. The expected salary range for this position based on the primary location Boston, MA is $146,250 - $224,250. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. PathAI is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.

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) with 5 or more years of experience; or a PhD Machine Learning, Computer Science, Data Science, Statistics, Applied Mathematics (or a closely related discipline) with 3 or more 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 work independently, lead/contribute to experimental design, and improve ML workflows. - You have demonstrated the ability to collaborate across scientific and engineering teams. Preferred: - 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 $130,500 - $200,100. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. PathAI is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.

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. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. PathAI is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.

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. Our Intern/Co-op program is designed to give you a real-world view of what it's like to be a Machine Learning Engineer at PathAI. You will be embedded directly into our AI product and ML Core teams, working on active projects that have a direct impact on our technical roadmap and business goals. You will collaborate with a cross-functional team of scientists, engineers, and product managers to translate clinical needs into scalable ML solutions. This is your chance to contribute to meaningful work that directly relates to patient outcomes. Timeline: This opportunity is for Fall 2026 / Winter 2027. We are looking for interns/co-ops who can commit to 3-6 months at PathAI (4-6 months preferred). Location: Boston, MA and New York, NY; potential for remote US based candidates. The ability to be onsite 3 days a week is highly preferred. What You’ll Do: - 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. Who You Are: - You are enrolled in a M.S., or Ph.D. in Computer Science, Electrical Engineering, Biomedical Engineering with a focus on Computer Vision and Machine Learning. - You have strong programming skills in Python and hands-on experience with ML frameworks (e.g., PyTorch, TensorFlow). - You have a demonstrated level of understanding of the fundamentals of machine learning and/or computer vision. - You have excellent communication skills and a desire to work in a highly collaborative, cross-functional environment. - You have a passion to improve patient lives Preferred: - You have previous experience working on complex open-source projects and any AI based products. - You have participated in student organization and/or other leadership activities - You have contributed to AI/ML publications. The expected salary range for this position based on the primary location of Boston, MA is $55-70 per hour. Actual pay will be determined on experience, qualifications, geographic location, and other job-related factors permitted by law. This position also qualifies for paid holiday time off. PathAI is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.

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. We are seeking an Associate Director, MLOps Lead to join our Machine Learning team. In this position, you will lead the team who is responsible for the backbone of our AI/ML Stack. This is a highly visible role as you will oversee the infrastructure that bridges ML research and massive-scale production. Your primary directive is to evolve our stack to meet the next scale of needs in large scale ML training & inference workloads. The Associate Director MLOps Lead is someone who enjoys designing and building for reliability, relishes collaboration and technical challenges, and takes pride in making things better.. Our technical space is broad: high-scale AI training & inference workloads, cloud infrastructure, Kubernetes, observability, distributed systems, and a bit of everything in between. The Opportunity: This role is critical for driving the scalability and efficiency of our Machine Learning Operations platform with high-impact & high growth strategic initiatives. - Vision and Roadmap: Develop and execute the long term vision & roadmap for MLOPs team to support ML development and deployment needs across the business units. Successfully manage the tension between short-term tactical deliveries and long-term architectural transformation for future growth. - Team Management: Lead and mentor a team of 6-7+ high-performing engineers. Strategically allocate resources to manage support for existing services while executing key strategic initiatives. - Cross-Functional Collaboration: Partner with leaders across machine learning, data science, product engineering, and infrastructure to proactively identify pain points, address bottlenecks, and facilitate the deployment of new solutions. - Foundation Model Readiness: Architect the compute and storage pipelines required for ML Engineers to manage millions of slides and complex derived artifacts without data fragmentation or synchronization latency. - Inference Modernization: Modernize the AI Product inference stack to support 5-10x growth of AI runs across global deployments. - System Observability: Collaborate with Site Reliability Engineering (SRE) to establish comprehensive metrics covering compute under-utilization, network bottlenecks, and granular cost and turn-around-time attribution. - Technology Refresh: Conduct "Build vs. Buy" assessments, leading "Stack Refresh" audits to benchmark our proprietary tools against best-in-class commercial and open-source alternatives to meet our future needs. Who You Are: (Required) - You have a Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field (or equivalent experience). - You have 8–10+ years in Software/ML Engineering, with 4+ years managing engineering teams and platform strategy; experience building production-grade frameworks for MLOps or ML Infrastructure. - You have a proven track record of growing engineering teams, managing team budgets/cloud costs, and driving MLOps platform adoption across multi-disciplinary organization units. - You have a demonstrated level of deep technical expertise with ML workloads on kubernetes, cloud computing platforms (AWS/GCP/Azure), workflow orchestration (Airflow, Kubeflow, or proprietary equivalents) and DevOps principles and infrastructure-as-code (Helm, Terraform). - You have demonstrated experience managing petabyte-scale datasets and high-throughput production inference pipelines. - You have demonstrated strong software engineering skills in complex, multi-language systems and experience with scalable service architecture. - You have experience using AI assistants (e.g. CoPilot, Cursor, Claude) across platform development lifecycles. Preferred: - You have experience working with ML frameworks like PyTorch or Scikit-learn. - You have experience with large-scale data processing frameworks (e.g. Spark, Hive, Databricks, Amazon EMR) - You have demonstrated expertise in MLOps principles, including model lifecycle management, feature stores, model monitoring, and CI/CD for ML. - You have a familiarity with security and compliance best practices in ML systems. This is a hybrid position based in Boston, MA. Relocation benefits are not available for this position. The expected salary range for this position based on the primary location Boston, MA is $181,500 - $278,300. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. 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.