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

Job Description

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

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

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

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

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