Software Engineer, Research, Fitbit

Requirements:

• 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, reinforcement learning, 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.

Nice to haves:

• 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.

What you'll be doing:

• 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.

Perks and benefits:

• Google's next-generation technologies.
• Opportunities to work on critical projects.
• Versatility in problem-solving.
• Part of the H2O Intelligence team with a focus on health and fitness coaching.
• Access to extensive data and generative AI technology.
• Opportunities for innovation and impact at scale.
• Contribution to making health more accessible.