Requirements:

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software development in C++ and Python.
• 3 years of experience with one or more of the following: deep learning, reinforcement learning, generative AI, or specialization in another ML field.
• 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging).
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.

Nice to haves:

• Master's degree or PhD in Computer Science or related technical field.
• 5 years of experience with data structures and algorithms.
• 1 year of experience in a technical leadership role.
• Experience developing accessible technologies.
• Experience with machine learning, data science, statistics, natural language processing, computer vision, etc.

What you'll be doing:

• Own projects end-to-end from initial idea to design, analysis, and implementation.
• Perform model training, evaluation, and deployment to solve business-critical problems. This includes exploration of new model architectures, augmenting existing training data, finding better evaluation methods and feedback signals, and identifying headroom opportunities.
• Understand production systems, visualize, monitor, and optimize performance.
• Stay up-to-date with the latest tools and research in the field, working with our collaborators in Google Research and Deep Mind.

Perks and benefits:

• Google's software engineers develop the next-generation technologies.
• Opportunities to work on critical projects with the flexibility to switch teams and projects.
• Culture of deep collaboration and partnering with leading teams in AI innovation.