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Join Zepp Health’s US AI Lab as a Senior Applied Scientist focusing on exercise physiology and sleep science. In this role, you'll drive the development of advanced AI algorithms to enhance digital health solutions, collaborating across teams to deliver significant impact for users globally. A PhD and substantial experience in AI and machine learning are preferred.
About Zepp Health and Amazfit At Zepp Health, innovation meets wellness to redefine what's possible in health, fitness, and wellness through our groundbreaking Amazfit smartwatches and wearable technologies. Since our inception in 2013, we've been at the forefront of merging cutting-edge science and technology to develop wearables that not only stand out for their style but also their performance. Amazfit, our global consumer brand, is more than just a product line; it's a commitment to empowering individuals to elevate their game, offering an array of devices from smartwatches to earbuds and fitness gear that seamlessly integrate into the fabric of daily life. We're on a mission to not just participate in the global smartwatch and wearables market but to lead it with innovation, quality, and a deep understanding of our users' needs. About the Role Join Zepp Health’s US AI Lab as a Senior Applied Scientist, focusing on exercise physiology, sleep science, and personalized health insights. In this hands-on role, you will drive the development of advanced AI algorithms and models to analyze physiological and behavioral data, supporting innovative digital health solutions that impact millions of users worldwide. Key Qualifications Proven experience developing AI algorithms in health, exercise physiology, sleep analysis, or emotion recognition. Strong background in machine learning, signal processing, or applied AI. Demonstrated ability to build and deploy machine learning models for wearable or physiological data analytics. Experience working with large language models (LLMs), especially for generating personalized health insights and natural language feedback. Proficient programming skills in Python; hands-on experience with frameworks like PyTorch. Passion for sports, exercise, or a strong background in exercise science / physiology (e.g., running, swimming, cycling, etc.). What You’ll Do Design and implement advanced AI / ML algorithms for : Exercise physiology : Extract and interpret physiological signals to enable scientific training and recovery guidance. Sleep science : Analyze multi-sensor sleep data to deliver actionable, personalized sleep recommendations. Personalized insights : Leverage large language models to generate adaptive, context-aware health feedback and coaching for users. Collaborate with product and engineering teams to translate research into impactful product features. Contribute to research and innovation in digital health, exercise physiology, sleep analytics, and AI-powered personalization. Lead the full lifecycle of algorithm development, from ideation and prototyping to deployment and continuous optimization. Preferred Background PhD (preferred) in Computer Science, Electrical / Computer Engineering, Statistics, Mathematics, Physics, or related fields. 2 years of post-doctoral or equivalent industry / research experience in AI, machine learning, or a related field. Additional Requirements Excellent problem-solving, algorithm design, and model-building skills. Strong communication, collaboration, and technical presentation abilities. Genuine passion for creating technology with real-world impact on health and well-being. Benefits of Working At Zepp Health : Competitive salary, Vacation day, sick day and a remote-friendly culture Health insurance RRSP & Matching Year-end Bonus pay Other Benefits Zepp Health is an Equal Opportunity employer and welcomes everyone to our team. If you need reasonable accommodation at any point in the application or interview process, please let us know. In your application, please feel free to note which pronouns you use (for example : she / her / hers, he / him / his, they / them / theirs, etc).