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Engineering Manager - Machine Learning (Sunnyvale, CA, On-Site) Join to apply for the Engineering Manager - Machine Learning (Sunnyvale, CA, On-Site) role at Brix Engineering Manager - Machine Learning (Sunnyvale, CA, On-Site) 5 days ago Be among the first 25 applicants Join to apply for the Engineering Manager - Machine Learning (Sunnyvale, CA, On-Site) role at Brix iHealth Labs Engineering Manager - Machine Learning (Sunnyvale, CA, On-Site) (UTC-08:00) Pacific Time (US & Canada) Full-time Employment 180k - 225k USD/year over 1 year ago iHealth Labs Engineering Manager - Machine Learning (Sunnyvale, CA, On-Site) (UTC-08:00) Pacific Time (US & Canada) Full-time Employment 180k - 225k USD/year over 1 year ago Overview About the job 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 doctors 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. Work Location: On-site in Sunnyvale, Santa Clara, CA, US. LinkAltTitle About The Company iHealth Labs US 51-200employees Series B Healthcare 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 doctors 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 qual 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. LinkAltTitle Requirements Masters 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. LinkAltTitle Benefits Medical, Dental, Vision, Life Insurance, and 401K Paid Time Off, Federal Holidays, and Leaves Annual Performance-Based Bonus LinkAltTitle Interview process AI interview Code assessment Technical assessment On-site interview Offer negotiation Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Engineering and Information Technology Industries Software Development Referrals increase your chances of interviewing at Brix by 2x Get notified about new Engineering Manager jobs in Pacific, British Columbia, Canada . 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