Staff Research Engineer, Applied AI, DeepMind

MINIMUM QUALIFICATIONS:

* Bachelor's degree in Electrical Engineering, Computer Engineering, Computer

Science, or a related field, or equivalent practical experience.

* 8 years of software development experience, including system design, data

structures, and algorithms.

* 5 years of experience building, training, and deploying machine learning

models into production environments.

PREFERRED QUALIFICATIONS:

* Experience working with Generative AI/LLMs, specifically in model

fine-tuning, custom dataset curation, and designing evaluation pipelines.

* Proven experience architecting, prototyping, and shipping complex ML systems

from the ground up, with a deep understanding of machine learning and deep

learning (e.g., Transformers, Diffusion, LLMs).

* Good communication skills with a proven ability to engage with

cross-functional teams, and take ambiguous, open-ended real-world problems

and translate them into clear technical designs and product scope.

ABOUT THE JOB:

At Google, research-focused Software Engineers are embedded throughout the

company, allowing them to setup large-scale tests and deploy promising ideas

quickly and broadly. Ideas may come from internal projects as well as from

collaborations with research programs at partner universities and technical

institutes all over the world.

From creating experiments and prototyping implementations to designing new

architectures, engineers work on real-world problems including artificial

intelligence, data mining, natural language processing, hardware and software

performance analysis, improving compilers for mobile platforms, as well as core

search and much more. But you stay connected to your research roots as an active

contributor to the wider research community by partnering with universities and

publishing papers.

We are seeking a Staff Research Engineer, Applied AI to lead the development and

deployment of novel applications, leveraging Google’s generative AI models. In

this role, you will rapidly develop new features, and work across partner teams

to deliver solutions, and maximize impact for Google and top customers. You will

be instrumental in translating AI research into real-world products, and

demonstrating the capabilities of latest-generation models. You will build and

ship AI-powered software, ideally with experience in early-stage environments

where you have contributed to scaling products from initial concept to

production. You will be motivated by the opportunity to drive product and

business impact.Artificial intelligence will be one of humanity’s most

transformative inventions. At Google DeepMind, we are a pioneering AI lab with

exceptional interdisciplinary teams focused on advancing AI development to solve

complex global challenges and accelerate high-quality product innovation for

billions of users. We use our technologies for widespread public benefit and

scientific discovery, ensuring safety and ethics are always our highest

priority.

We are pushing the boundaries across multiple domains. Our global teams offer

diverse learning opportunities and varied career pathways for those driven to

achieve exceptional results through collective effort.

Individual pay is determined by factors including job-related skills,

experience, and relevant education or training.

US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google

[https://www.google.com/about/careers/applications/benefits/].

RESPONSIBILITIES:

* Partner closely with multiple external parties and internal cross-functional

teams to navigate ambiguity, deeply understand real-world issues, and define

clear product objectives and technical designs.

* Drive the curation of specialized datasets, design evaluations across

industry verticals, and execute model fine-tuning to achieve optimal

real-world performance.

* Lead the engineering and development of novel solutions from 0 to 1,

utilizing internal platforms and tools to build sophisticated agents and

workflows powered by DeepMind foundation models.

* Synthesize and upstream learnings from third-party partners to our core

research teams, by sharing real-world evaluations, edge cases, and deployment

signals, which can inform the development of future frontier models.

* Act as a technical leader in the applied AI space, setting best practices for

generative AI deployment and demonstrating the peak capabilities of frontier

models in solving high-impact problems end-to-end.