Data Scientist / Software Engineer Intern (Wearable Health Data & AI) (United States)

We are looking for a Data Analyst or Software Engineer intern to work on wearable health data, time-series modeling, and AI-powered personal health experiences.

You will help build the data and software foundations for turning raw wearable signals into useful, reliable, and personalized insights.

What You’ll Work On

1. Process and analyze wearable sensor data such as heart rate, HRV, SpO₂, temperature, activity, and sleep.
2. Build clean data pipelines for time-series data ingestion, validation, feature extraction, and visualization.
3. Develop dashboards and analysis tools to understand user behavior, sensor quality, trends, and anomalies.
4. Train, evaluate, and compare baseline ML models for health-related prediction tasks.
5. Support prototyping of AI health-agent experiences grounded in wearable data.
6. Work with product, hardware, algorithm, and design teams to turn research ideas into product features.

What We’re Looking For

• Strong Python skills and familiarity with data tools such as pandas, NumPy, SQL, or similar.
• Basic understanding of statistics, machine learning, or time-series analysis.
• Ability to write clean, reliable code and communicate findings clearly.
• Curiosity about AI, wearable devices, health data, and consumer product experiences.
• Comfortable working in an early-stage, fast-moving environment.

Nice to Have

• Experience with PyTorch, JAX, TensorFlow, or scikit-learn.
• Experience with sensor data, mobile/wearable apps, health data, or IoT systems.
• Familiarity with LLMs, AI agents, data visualization, or backend development.
• Interest in building practical products from research papers.

Role Type

• Paid Internship with conversion oppotunity to early-career full-time role.
• Open to candidates from data science, software engineering, computer science, biomedical engineering, or related backgrounds.