Machine Learning Engineer II

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.

Where You Fit

We are seeking experienced Machine Learning Engineers to join our team and tackle unique machine learning challenges to advance medicine and improve patient care. The Machine Learning Engineer will work closely with teams across biomedical data science, product development, translational research, MLOps and platform engineering to develop and deploy the machine learning models for our AI products and services.

What You'll Do

• Independently executes the machine learning model development for research and product development projects with ML best practices

• Understands product requirements in their biological and clinical context and proposes changes to model design, product requirements, or analysis plan to ensure market fit

• Demonstrates mastery of established and state-of-the-art ML methods and upholds ML Team’s best practices for ML research and product development

• Engaged within team governance of standards via supporting initiatives (e.g. Guild of TLs, ML  Stewards, WiML, Journal Club, Maintaining and creation of documentation)

• Proactively identifies technical limitations of the current platform and proposes solutions towards solving core problems in digital pathology.

• Actively participate in and propose improvements to team processes and supporting initiatives, including but not limited to: project processes, technical design reviews, knowledge sharing, hiring and onboarding. 

• Actively contribute to scientific strategy with  abstract submissions to conferences, manuscript preparation, and creation of marketing and other materials for external audiences

What You Bring

To be successful in this role with us, you'll at least need:

• Master’s degree plus 1-2 years of professional experience or Ph.D in Computer Science or related field, preferably with a focus on artificial intelligence and machine learning
• 1-2 years of experience in developing and deploying state-of-the art machine learning and computer vision models in products/platforms
• Excellent proficiency in Deep Learning frameworks (Pytorch/Tensorflow), Python (including Scipy, Numpy, Pandas) and software engineering skills. Strong analytical and quantitative skills
• Familiarity with overall machine learning and computer vision model development lifecycle including data pipelines, model training, evaluation and deployment.
• Publications or research in fields related to artificial intelligence and biomedical science is preferred
• Intellectual curiosity and the ability to learn quickly in a complex space

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.