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 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 prototype models to test new ideas. Coordinate with partner teams to deploy models to the production stack.