Machine Learning Engineer, PathAI
AI-powered pathology tools
Be an early applicant
AI-powered pathology tools
201-500 employees
Be an early applicant
201-500 employees
Company mission
To improve patient outcomes with AI-powered pathology.
Role
Who you are
- Master’s degree plus 3-4 years of professional experience or Ph. D. in Computer Science, Computational Biology or related field, preferably with a focus on artificial intelligence and machine learning
- 3-4 years of experience in developing and deploying state-of-the art machine learning models in products
- Excellent proficiency in Deep Learning frameworks (Pytorch/Tensorflow), Python (including Scipy, Numpy, Pandas) and software engineering skills. Strong analytical and quantitative skills
- Strong track record with the overall machine learning and computer vision model development process including data pipelines, model training, evaluation and deployment
- Publications or research in fields related to artificial intelligence and biomedical science is strongly preferred
- Strong communication skills. Intellectual curiosity and the ability to learn quickly in a complex space
What the job involves
- 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
- Independently lead the planning and execution of machine learning model development for research and product development projects with ML best practices
- Contributes towards internal product and translational research experiment design, ideation, analysis, documentation and experimental plans
- 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)
- Identify technical gaps, propose and initiate new projects by articulating rationale and experimental plans that translate technical improvements into business impact
- 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 support scientific strategy with abstract submissions to conferences, manuscript preparation, and creation of marketing and other materials for external audiences
Our take
PathAI is a leader in the field of AI-powered pathology, dedicated to transforming patient outcomes by harnessing the power of AI. Its core mission revolves around enhancing the accuracy of diagnoses and the effectiveness of disease treatments, particularly in critical areas like cancer.
PathAI's pioneering spirit is evident through its breakthroughs, exemplified by innovations such as the AIM-HER2 Breast Cancer algorithm. This tool automates HER2 scoring and introduces a novel approach with additive multiple instance learning (aMIL) heatmaps, offering insights into scoring mechanisms. Additionally, PathAI's PathExplore panel of human interpretable features (HIFs) fosters collaborative research, thus enhancing understanding of the tumor microenvironment.
As the company moves forward, it is poised to continue shaping the landscape of AI-powered pathology, driving advancements in medical research, diagnostics, and drug development, while upholding its central mission to improve patient well-being.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 7 rounds)
May 2021
$165m
SERIES C
Nov 2019
$15m
SERIES B
Total funding: $258.6m
Company benefits
- Comprehensive Health Plans
- Paid Time Off & Paid Holidays
- Wellness Benefits
- 401(k) Program
- Parental Leave
Company HQ
West Fens, Boston, MA
Leadership
Andrew Beck
(CEO)Graduated from Stanford University with a PhD in Biomedical Informatics. Previously worked at Harvard Medical School as a Professor of Pathology.
Aditya Khosla
(Advisor)Graduated from the Massachusetts Institute of Technology with a PhD in Computer Science. They now serve as the CTO at Iterative Health.
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