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.
Lead the architecture and development of new products & features from 0 to 1. About you
Requirements
We are seeking a Staff Research Engineer, Applied AI to lead the development and deployment of novel applications, leveraging Google’s generative AI models.
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.
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.
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.
Contribute to the development of best practices for building and deploying generative AI applications.
In order to set you up for success as a Staff Research Engineer, Applied AI at Google DeepMind, we look for the following skills and experience:
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. Preferred Skills •
Experience with generative AI research or applications.
Experience working in, or founding early stage startups. •
Experience delivering software solutions in a fast-paced, customer-facing environment.
If you are a passionate machine learning engineer with a drive to build innovative products and a desire to work at the forefront of AI, we encourage you to apply!
At Google DeepMind, we value diversity of experience, knowledge, backgrounds, and perspectives and harness these qualities to create extraordinary impact.
If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.
Benefits
The US base salary range for this full-time position is between $197,000 - $291,000 + bonus + equity + benefits.
Your recruiter can share more about the specific salary range for your targeted location during the hiring process.
Additional details
This role focuses on rapidly developing new features, and working across partner teams to deliver solutions, and maximize impact for Google and top customers.
The ideal candidate will be motivated by the opportunity to drive product & business impact. About us
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
Harness frontier models to drive real-world high-impact outcomes
Contribute signal to influence the development of frontier models
We are committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law.