Senior Machine Learning Engineer - Sunnyvale, United States - iHealth Labs
Description
Job DescriptionJob Description
Work Location:
Sunnyvale, California
Salary Range:
$150,000 - $210,000
Job Type:
Full-Time Onsite
Our Company:
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.
Job DescriptionDesign, develop, and implement advanced machine learning models and algorithms to solve complex business problems.
Collaborate with cross-functional teams (data scientists, engineers, product managers) to integrate ML models into our products and services.
Conduct data cleansing, exploration and feature engineering to improve model accuracy and performance.
Stay up-to-date with the latest technology in machine learning and apply this knowledge to tackle complex problems in innovative ways.
Mentor junior team members and contribute to the team's knowledge and expertise in ML.
Ensure compliance with data privacy (including HIPAA) and security regulations in all machine learning implementations.
Qualifications:
Master's or Ph.
D. in Computer Science, Engineering, Statistics, or a related field with a focus on machine learning.
Minimum of 3 years of experience in machine learning with 1 year minimum in deep-learning, particularly in a senior or lead role.
Proven track record of developing and deploying machine learning models in a production environment.
Familiarity with cloud platforms (AWS, GCP, Azure) and their ML services.
Excellent problem-solving, analytical, and communication skills.
Experience with large language models (including fine-tuning, RAG) is a plus
Experience in the healthcare sector and understanding of health data (EMR, genomics, wearables) is also desirable.
Benefits:
Medical, Dental, Vision, Life Insurance, and 401K
Paid Time Off, Federal Holidays, and Leaves
Annual Performance-Based Bonus
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