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Senior Research Engineer, Fitbit, AI/ML - Job Opportunity at Google

London, GB
Full-time
Senior
Posted: April 26, 2025
Hybrid
USD 180,000 - 250,000 per year plus equity, based on London market rates for senior ML positions at FAANG companies

Benefits

Competitive compensation and equity package typical of Google's industry-leading standards
Comprehensive health insurance and wellness programs through Fitbit integration
Professional development and learning opportunities at scale
Access to Google's renowned workplace amenities and culture
Opportunity to work on cutting-edge AI/ML technologies with real-world health impact

Key Responsibilities

Design and implement advanced machine learning solutions focusing on health and fitness applications
Lead technical architecture decisions for AI/ML systems at scale
Drive innovation in health-focused wearable technology through applied research
Collaborate across Google and Fitbit teams to integrate ML capabilities
Guide and mentor technical teams while maintaining high code quality standards

Requirements

Education

Bachelor's degree minimum, Master's or PhD preferred in Computer Science or related field

Experience

5 years with data structures/algorithms, 3 years product development, 1 year architecture

Required Skills

Machine learning model pretraining and optimization TensorFlow, PyTorch, or JAX Python and C++ Software architecture and system design Data structures and algorithms Product development lifecycle management
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Sauge AI Market Intelligence

Industry Trends

The convergence of wearable technology and AI is creating unprecedented opportunities in personalized health monitoring and intervention Growing demand for ML engineers who can bridge theoretical research with practical health applications Increasing focus on edge AI deployment for real-time health monitoring solutions

Role Significance

Likely leading a team of 5-8 engineers with matrix management across research and product teams
Senior technical position with significant influence on product direction and technical architecture

Key Projects

Health monitoring algorithm development Real-time biosignal processing systems Edge AI deployment for wearable devices Cross-platform ML model optimization

Success Factors

Deep understanding of ML deployment constraints in resource-limited environments Ability to balance research innovation with practical product requirements Strong collaboration skills across research and product teams Experience with health-related data processing and privacy considerations

Market Demand

Very high demand with significant growth trajectory as health tech sector expands and AI capabilities become central to product differentiation

Important Skills

Critical Skills

Deep ML expertise with focus on deployment optimization Experience with health-related data processing Strong software architecture skills for scalable systems

Beneficial Skills

Health technology domain knowledge Privacy-preserving ML techniques Edge computing optimization Research publication experience

Unique Aspects

Rare opportunity to work at the intersection of consumer health tech and advanced AI research
Direct impact on millions of users' health outcomes
Access to unique health data sets and research opportunities

Career Growth

2-3 years in role before advancement opportunities, depending on impact and project success

Potential Next Roles

Principal ML Engineer Technical Director Research Lead Engineering Manager

Company Overview

Google

Google's acquisition of Fitbit represents a strategic push into health technology, combining Google's AI expertise with Fitbit's health monitoring capabilities

Leading position in both AI research and consumer health technology, with significant resources for R&D and product development
Major technical hub in London with strong connections to European research community and health tech ecosystem
Innovation-focused environment with emphasis on research impact and product excellence, balanced with Google's collaborative culture
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