Join a pioneering team focused on AI Innovation and Research, driving the next generation of Google's AI capabilities. This role is pivotal in accelerating ML adoption across Platforms and Devices teams, transforming innovative ideas into impactful AI solutions.

Engage with diverse product and research teams, leveraging your expertise to build and deploy cutting-edge AI/ML models. You will be instrumental in bridging the gap between research findings and practical applications, contributing to products that connect billions of users globally.

This is an opportunity to work at the forefront of AI, shaping the future of computing platforms and devices with significant user impact. You'll collaborate with a global network of experts, fostering AI literacy and driving innovation across the organization.

Develop, train, evaluate, and deploy robust AI/ML models, ensuring seamless integration into production systems. Collaborate closely with Platforms and Devices product teams and research groups to bring AI-powered features to life. Spearhead the identification of common needs across multiple projects, creating reusable infrastructure and models to accelerate future deployments. Transfer critical AI knowledge and expertise to partner teams, empowering them to independently drive AI-driven initiatives. Foster strong partnerships with product managers, researchers, and stakeholders, facilitating effective collaboration across time zones to champion AI integration.

Possess a Bachelor's degree or equivalent practical experience in software development. Bring at least 5 years of hands-on software development experience in programming languages. Demonstrate 3 years of experience in testing, maintaining, or launching software products, alongside 1 year in software design and architecture. Offer 3 years of experience in at least one of the following: Speech/audio technology, reinforcement learning, ML infrastructure, or another specialized ML field. Have 3 years of experience with ML infrastructure, including deployment, evaluation, optimization, data processing, and debugging.