Machine Learning/Data Science Manager
Job Description
Department: Machine Learning
Employment Type: Full Time
Location: San Francisco, CA
Description
Iterative Scopes is seeking a manager for their machine learning and data science teams. The successful candidate will be part of the ML leadership team and manage a group machine learning engineers and data scientists. They work collaboratively with our product and clinical teams to deliver quality AI products on time. The candidate will have a track record of developing machine learning and especially deep learning and computer vision models for solving challenging real-world scientific problems.
Key Responsibilities
- Own the technical direction and impact of their team
- Collaborate with a cross functional team that include Product, Clinical, and Regulatory affairs
- Work with direct reports to understand their motivations and develop their career paths
- Formulate an effective strategy for recruiting and retaining high performing and collaborative engineers and data scientists
Requirements & Qualifications
Minimum Qualifications:
- Graduate Degree in computer science or other quantitative fields, or Bachelor of Science with similar practical experience in an industrial or research setting.
- 6+ Years' experience in data science and/or machine learning
- Previous experience in leading or managing machine learning and/or data science teams
- Experience hiring data scientists and/or machine learning engineers
- 4+ Years' experience with developing, troubleshooting, and validating deep learning models working in the areas of video and image processing.
- Knowledge of computer vision tasks including detection, segmentation, and classification.
- Excellent verbal and written communication skills, including the ability to describe complex technical concepts to colleagues with varying degrees of technical background
Preferred Qualifications:
- Experience in the medical device or healthcare industry
- Experience working with more data types (e.g. EMR, genomics, biometrics, images).
- Experience deploying machine learning models to production.
- Experience working in startup environments.
Benefits
- Vision/Dental/Medical Insurance
- Life/Disability Insurance
- Maternity/Paternity leave
- Stock Options
- Flexible Work Hours
- Unlimited Paid Time Off
- Fun Workspace! (Standing Desks/ Balance Boards/Ping pong Table/ Pick your own workstation set-ups!)
- Free Snacks and Drinks (Jura Espresso Maker + Snacks upon requests!)
- Free lunch on Fridays
#LI-RZ1
Date Posted
08/14/2022
Views
7
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