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PathAI is dedicated to improving patient outcomes through AI-powered pathology. The Machine Learning Engineer II will develop and deploy machine learning models for AI products, collaborating with various teams to tackle unique challenges in advancing medicine and patient care.
Responsibilities:
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 Teams 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
Qualifications:
Masters 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
Intellectual curiosity and the ability to learn quickly in a complex space
Publications or research in fields related to artificial intelligence and biomedical science
Company:
PathAI develops technology that assists pathologists in making accurate diagnoses for every patient, every time. PathAI has a track record of offering H1B sponsorships.
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Medical insurance
Vision insurance
401(k)
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