Staff Applied AI Engineer

DeepMind • Mountain View, CA

2d • $197,000 - $291,000

About The Position

We are seeking a Staff Applied AI Engineer to lead the development and deployment of novel applications, leveraging Google’s generative AI models. This role focuses on rapidly developing new features, and working across partner teams to deliver solutions, and maximize impact for Google and top customers. You will be instrumental in translating cutting-edge AI research into real-world products, and demonstrating the capabilities of latest-generation models. We are looking for engineers with a strong track record of building and shipping AI-powered software, ideally with experience in early-stage environments where they have contributed to scaling products from initial concept to production. The ideal candidate will be motivated by the opportunity to drive product & business impact. About us Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. The role This role requires a strong machine learning foundation and a passion for building and iterating on software products. We are looking for machine learning engineers who thrive in fast-paced environments and have a proven ability to deliver high-quality code. Experience in prototyping, building, and scaling software is essential. We particularly value experience in early-stage or startup environments, where engineers take ownership and drive product development from the ground up.

Requirements

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience in software development, and with data structures/algorithms.
• 5 years of hands-on experience in AI research (e.g. RL, finetuning, evals), AI applications, or model deployment
• Proven experience in rapidly developing and shipping software products.
• Deep understanding of software development best practices, including testing & deployment.
• Experience with cloud computing platforms and infrastructure (e.g., Google Cloud Platform, AWS, Azure).
• Substantial experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Hugging Face, etc.
• Ability to work in a fast-paced environment and adapt to changing priorities.

Nice To Haves

• Experience with generative AI research or applications.
• Contributions to open-source projects.
• Experience working in, or founding early stage startups.
• Experience delivering software solutions in a fast-paced, customer-facing environment.

Responsibilities

• Harness frontier models to drive real-world high-impact outcomes
• Build evaluations, training data, and infrastructure to support AI deployments and rapid iterations
• Collaborate with researchers and product managers to translate research advancements into tangible product features.
• Contribute to the development of best practices for building and deploying generative AI applications.
• Contribute signal to influence the development of frontier models
• Lead the architecture and development of new products & features from 0 to 1.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level