AI Research Team Lead

About the Role

Zepp Health is seeking an experienced AI Research Team Lead building next-generation health intelligence algorithms for wearable devices and digital health applications.

This role is designed for a strong technical leader with deep expertise in machine learning, physiological signal processing, and health analytics, who can define technical strategy, lead applied scientists, engineers and interns and accelerate research into production.

Key Responsibilities

Technical Leadership
Drive the AI algorithm roadmap for wearable health products, including exercise, recovery, sleep, and long-term health management.
Architect and review advanced machine learning and signal processing models for physiological and behavioral data.
Lead research initiatives in time-series modeling, sensor fusion, personalization, and AI-driven health insights.
Establish scientific standards, validation methodologies, and performance benchmarks.

Team Management
Lead and mentor a team of applied scientists, ML engineers, and interns.
Provide technical direction, code reviews, and research guidance across projects.
Break down complex research problems into clear milestones and drive timely execution.
Communicate proactively across teams and drive alignment to keep projects move efficiently.
Build and scale a strong research culture focused on innovation, ownership, and scientific rigor.

Cross-functional Collaboration
Partner with product, engineering and domain experts to translate algorithms into user-facing features.
Align research priorities with business goals and product strategy.
Communicate technical progress, risks, and opportunities clearly to leadership.

Required Qualifications
Master or PhD in Computer Science, Electrical Engineering, Biomedical Engineering, Signal Processing, Applied Mathematics, or a related field.
5+ years of industry or research experience in AI/ML, with at least 2+ years in a technical leadership role.
Strong expertise in:
Machine Learning
Signal Processing
Time-Series Modeling
Sensor Fusion
Statistical Modeling
Proven experience building algorithms for wearable devices, physiological signals, or digital health applications.
Strong hands-on coding skills in Python and ML frameworks such as PyTorch or TensorFlow.
Demonstrated experience managing or mentoring scientists, engineers, or interns.

Preferred Qualifications
Experience in exercise physiology, sleep science, cardiovascular health, or metabolic health.
Experience with large language models (LLMs) for personalized coaching or health interpretation.
Strong publication record or patents in relevant domains.
Experience bringing research systems into production at scale.
Builds and scales high-performing research teams

Benefits of Working At Zepp Health
Competitive salary, Vacation day, sick day
Health insurance, Vision insurance, Dental insurance, life insurance
401K & Matching
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).