Engineering Manager - Machine Learning; Sunnyvale, CA, On-Site

Position

Engineering Manager - Machine Learning (Sunnyvale, CA, On-Site)

On-site in Sunnyvale, Santa Clara, CA, US.

180k - 225k USD/year

Founded in 2010, iHealth Labs is dedicated to empowering people to live healthier lives. The company is a leading provider of cloud-connected medical devices, personal health care devices, and home-based tests and is at the forefront of the digital health revolution. In 2018, iHealth launched its Unified Care program to address the issue of managing chronic diseases. Unified Care specialists support patients at home between doctor’s appointments with remote patient monitoring (RPM) and chronic care management (CCM) to achieve better health outcomes.

In November 2021, iHealth’s COVID-19 Antigen Rapid Test received Emergency Use Authorization from the U.S. Food and Drug Administration for over-the-counter sales. Since then, iHealth has become a key supplier of at-home COVID tests to the federal government, state governments, nonprofits, and individual consumers. iHealth Labs is a leader in digital health solutions, with a mission to revolutionize the healthcare industry by making quality health management accessible and affordable for all.

• 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.

• 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 life cycles.
• 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.

• Medical, Dental, Vision, Life Insurance, and 401K
• Paid Time Off, Federal Holidays, and Leaves
• Annual Performance-Based Bonus

• AI interview
• Code assessment
• Technical assessment
• On-site interview
• Offer negotiation