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Engineering Manager - Machine Learning

Company: iHealth Labs, Inc.
Location: Sunnyvale
Posted on: June 5, 2024

Job Description:

Founded in 2010, iHealth is dedicated to empowering people to live healthier lives. The company is a leader in designing and manufacturing consumer-friendly, mobile personal healthcare products connected through the cloud that allows consumers to easily measure, track, and share vital health information with their doctors. With a focus on delivering high-quality and accessible products, iHealth is at the forefront of the digital health revolution. In 2018, iHealth established the Unified Care program to address the issue of managing chronic diseases. iHealth Care specialists support patients beyond the doctor's office with chronic conditions via Chronic Care Management (CCM) and Remote Patient Monitoring (RPM) to achieve better health outcomes. In November 2021, iHealth's COVID-19 Antigen Rapid Test received Emergency Use Authorization (EUA) from the U.S. Food and Drug Administration (FDA) for over-the-counter sales. Since then, iHealth has emerged as a key supplier of at-home COVID tests to the federal government, state governments, nonprofits, and individual consumers. With its commitment to helping people lead healthier lives, iHealth is poised to continue driving positive change in the healthcare industry. Job Description Lead and expand the Machine Learning team, driving the development and deployment of AI technologies within our product suite. Ensure the design and implementation of ML solutions are in full compliance with HIPAA and other relevant healthcare regulations. Collaborate with cross-functional teams, including Data Science, Engineering, and Product Management, to integrate ML models seamlessly into our digital health solutions. Foster a culture of innovation, continuous learning, and adherence to best practices in machine learning and data security. Stay up-to-date with the latest technology in machine learning and apply this knowledge to tackle complex problems in innovative ways. Provide technical and career mentorship to team members, promoting professional growth and development. Manage the end-to-end lifecycle of machine learning projects from conception to deployment and maintenance. Qualifications: Master's or Ph.D. in Computer Science, Engineering, Statistics, or a related field with a focus on machine learning. Minimum of 5 years of experience in machine learning/data science, with at least 1 year in a leadership or management role. Proficient in deep learning techniques and algorithms with a proven track record of implementing them in a production environment that drives business impacts. Good understanding of MLOps and managing ML model lifecycles Strong programming skills in Python, R, or similar languages and familiarity with ML frameworks and tools. Experience with cloud computing platforms (AWS, GCP, Azure) and their ML capabilities. Excellent leadership and communication skills, capable of motivating and guiding a team towards achieving strategic objectives. Solid understanding of HIPAA compliance and its implications for data processing and machine learning in healthcare is a plus. Company Medical, Dental, Vision, and Life Insurance as well as 401K 18 days of paid time off per year as well as 9 days of federal holiday plus a floating day
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Keywords: iHealth Labs, Inc., Sunnyvale , Engineering Manager - Machine Learning, Engineering , Sunnyvale, California

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