Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 2 years of experience with software development in one or more
programming languages (e.g., Python), or 1 year of experience with an
advanced degree in an industry setting.
- 1 year of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
- 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging).
- Experience in using common machine learning frameworks such as TensorFlow, PyTorch or Jax.
Preferred qualifications:
- Master's degree or PhD in Computer Science or related technical fields.
- 3 years of experience with building time series or ML algorithms in a production setting.
- 3 years of experience as an engineer (research engineer or software engineer) in industry.
- Experience with Generative AI Agents.
- Experience with rapid prototyping.
- Experience with sensor fusion.
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.
We are part of the H2O Intelligence team, which is focused on adding new sensing capabilities and AI for both Health and Home products.
Our focus in London is on building innovative features to coach users to better health and well-being, with a focus on physical activity. We achieve this by combining extensive experience in mobile sensing algorithms with large quantities of data and generative AI. This approach allows us to help users understand their many measurements and provides them with truly personalized coaching experiences.
We operate at the intersection of product and research, which enables us to innovate while quickly delivering impactful, large-scale features to real users.
Fitbit’s wide range of innovative products, including smartwatches, trackers, and a smart scale, help people lead healthier, more active lives by empowering them with data, inspiration, and guidance to reach their health and fitness goals. Coupled with our leading software and Fitbit Premium, our immersive platform experience delivers personalized experiences, insights, and guidance to support our users’ health and wellness. Fitbit’s mission has always been to help make everyone in the world healthier and now, as part of Google we’ll be able to make health even more accessible to everyone.
Responsibilities
- Design, build and deploy high-quality algorithms and ML models for health and fitness domain.
- Develop data and training pipelines for leveraging large amounts of longitudinal data for model training and quality improvement.
- Propose ideas and develop strategies for high-quality data collection for the health and fitness domain.
- Design, build and deploy high-performance and high-quality ML models and sensor algorithms for activity recognition.
- Design prototype models to test new ideas and coordinate with partner teams to deploy models to the production stack.
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.
