We are seeking a Staff Research Engineer, Applied AI 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.
Key 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.
About you:
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:
Required Skills:
- 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.
- Contributions to open-source projects.
- 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!
The US base salary range for this full-time position is between $197,000 – $291,000 + bonus + equity + benefits.
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