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Staff Software Engineer, Fitbit Health, AI/ML

Google

London

On-site

GBP 90,000 - 130,000

Full time

5 days ago
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Job summary

A leading company in the tech industry seeks a Staff Software Engineer with expertise in AI/ML and extensive software development experience. You will lead innovative projects that enhance user health and wellness by combining cutting-edge technology with health behavior science. This role offers the chance to work on a variety of impactful projects while collaborating in a dynamic team environment.

Qualifications

  • 8 years of experience in software development.
  • 5 years of experience launching software products.
  • Experience in a technical leadership role.

Responsibilities

  • Lead development of advanced sensor algorithms.
  • Design and implement system components.
  • Build tools to support iteration and innovation.

Skills

Machine Learning
Software Development
Innovative Mindset

Education

Bachelor's degree or equivalent
Master’s degree or PhD in Engineering, Computer Science, or related field

Job description

Staff Software Engineer, Fitbit Health, AI/ML

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Staff Software Engineer, Fitbit Health, AI/ML

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  • Bachelor's degree or equivalent practical experience.
  • 8 years of experience in software development.
  • 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
  • 5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).

Minimum qualifications:

  • Bachelor's degree or equivalent practical experience.
  • 8 years of experience in software development.
  • 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
  • 5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).

Preferred qualifications:

  • Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
  • 8 years of experience with data structures/algorithms.
  • 5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
  • 3 years of experience in a technical leadership role leading project teams and setting technical direction.
  • 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
  • Passion for fitness/health, with an innovative mindset to work in a dynamic, fast-moving team.

About The Job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

Our focus in London is on building innovative next generation features to coach users to better health and well being. We are bringing together large quantities of data, extensive experience in mobile sensing algorithms, and generative AI to help our users derive meaning from the measurements we have and to offer them personalized coaching experiences.

We work at the intersection of product and research, which allows us to combine innovation with the ability to get large-scale impact on real users quickly. We have a varied set of skills in the team and organization leadership, alongside a track record of successfully delivering innovative products.

The Health Platforms and Devices team builds innovative products and services that help our users live longer, healthier lives. We bring together the best of Google technologies and AI, health behavior science, and user-centered design to help users organize the health and wellness data, get insight from it, and take action toward their health goals. We do this with a suite of apps, services, and health wearables. We aim to make consumer health more personal, proactive, and actionable.

Responsibilities

  • Lead the development of advanced sensor algorithms and an agentic framework to fuse them into an advanced health coach.
  • Design and implement critical system components (both as an IC and through the team). Vet design proposals, assign and track tasks to milestones.
  • Keep abreast of the latest in the AI world both to educate the team and to help steer the products.
  • Build tools to support iteration and innovation. Help to establish processes to productionize the research work through collaboration with other teams.
  • Demonstrate individual contributor skills and an innovation mindset.


Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
Seniority level
  • Seniority level
    Not Applicable
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Information Technology and Engineering
  • Industries
    Information Services and Technology, Information and Internet

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