Senior Research Engineer, Fitbit, AI/ML

Google; London; On-site; GBP 60,000 - 100,000; Full time

Job summary

An innovative firm is seeking skilled software engineers to develop cutting-edge technologies that transform how users connect and interact with information. In this dynamic role, you will leverage your expertise in software development and machine learning to tackle complex challenges and contribute to impactful projects. You'll collaborate with talented peers, manage project priorities, and enhance software solutions that empower users to achieve their health and fitness goals. Join this forward-thinking team and be part of a mission to make health more accessible to everyone through technology.

Qualifications

• 5+ years of experience in software development with a strong focus on data structures and algorithms.
• Experience with machine learning frameworks and methodologies.

Responsibilities

• Write and test product or system development code.
• Collaborate with peers and stakeholders through design and code reviews.
• Design and implement solutions in specialized machine learning areas.

Skills

Data Structures

Algorithms

Software Development

Machine Learning

Python

C++

Education

Bachelor's Degree

Master's Degree or PhD

Tools

TensorFlow

PyTorch

Jax

Job description

This job is brought to you by Jobs/Redefined, the UK's leading over-50s age inclusive jobs board.

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 with machine learning model pretraining, fine-tuning, evaluation, and optimization methodologies.
• 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 field.
• Experience publishing in high-quality machine learning journals.
• Experience in 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 specific projects 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

• Write and test product or system development code.
• Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
• Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
• Design and implement solutions in one or more specialized machine learning areas, leverage or build machine learning infrastructure, and manage machine learning project lifecycle.
• Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.