Founding Machine Learning Engineer (Gut Health & Wearables)

suna • United Kingdom

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AI Summary

Build the core ML pipeline for Suna’s gut health wearable, transforming raw physiological sensor data into actionable insights. Own signal processing, model development (on-device/back-end), and context-aware AI agents. Prioritize scientific rigor and real-world validation over flashy demos.

Key Highlights

Own the full ML pipeline: raw sensor data → validated insights for users

Develop models for on-device and cloud-based inference with strict accuracy requirements

Build context-aware AI agents that integrate gut data with lifestyle context (diet, calendar, weather, etc.)

Scientific honesty and validation rigor are core to the product

Small founding team in London/San Francisco with direct impact on product direction

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Key Responsibilities

Design and implement the full ML pipeline for gut health data, from raw sensor signals to actionable user insights

Develop and optimize signal processing techniques for continuous physiological data

Build and deploy ML models for both on-device and cloud-based inference, ensuring performance and accuracy trade-offs are balanced

Create validation frameworks to ensure model outputs are scientifically rigorous and actionable for users

Architect context-aware AI agents that integrate gut data with external context (diet, calendar, weather, etc.)

Define and maintain the knowledge base for the AI agent, ensuring long-term memory and contextual relevance

Collaborate closely with hardware and product teams to align ML solutions with device capabilities and user needs

Technical Skills Required

Machine Learning Signal Processing Physiological Data Analysis

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Benefits & Perks

Benchmark-leading salary (competitive for experience)

Meaningful equity with direct ownership stake

Private medical coverage (including pre-existing conditions)

25+ days paid holiday (plus birthday day)

Workplace pension with employer contribution

Top-spec hardware (Mac, noise-cancelling headphones, ergonomic setup)

Cycle-to-work scheme

Dinner provided for late work sessions

Visa sponsorship and relocation support

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