Senior Software Engineer, AI Fitness, Health Coach, Fitbit

Google; London; On-site; GBP 60,000 - 85,000; Full time

Job summary

A leading technology company in London is seeking a Software Engineer with expertise in machine learning to develop innovative algorithms and models in the health and fitness domain. The ideal candidate will have a Bachelor's degree or higher, along with experience in software development and machine learning frameworks. Responsibilities include designing data pipelines and coordinating with partner teams for model deployment.

Qualifications

• 5 years of experience in software development.
• 3 years of experience testing and launching software products.
• Experience with machine learning model methodologies.

Responsibilities

• Design, build, and deploy algorithms and ML models.
• Develop data pipelines for model training.
• Coordinate with partner teams to deploy models.

Skills

Experience with data structures or algorithms

Software development in programming languages

Experience using machine learning frameworks

Experience with Python

Experience with C

Education

Bachelor's degree or equivalent

Master's degree or PhD in Computer Science

Job description

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Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 5 years of experience with data structures or algorithms and software development in one or more programming languages.
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
• Experience using machine learning frameworks (e.g., TensorFlow, PyTorch, or Jax).
• Experience with machine learning model pretraining, fine-tuning, evaluation, and methodologies.

Preferred qualifications:

• Master's degree or PhD in Computer Science or related technical field.
• Experience publishing in high-quality machine learning journals.
• Experience with Python and C.

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.

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 algorithms and ML models for health and fitness domain.
• Develop data and training pipelines for leveraging longitudinal data for model training and quality improvement.
• Propose ideas and develop strategies for high-quality data collection in the health and fitness domain.
• Design prototype models to test new ideas.
• Coordinate with partner teams to deploy models to the production stack.