Research Engineer, Gen Media, DeepMind

Google DeepMind; Mountain View (CA); On-site; USD 174,000 - 253,000; Full time

Job summary

Google DeepMind is a leading AI research lab where research-focused Software Engineers embed across the company to run large-scale tests and deploy promising ideas quickly. You will explore experiments, prototype implementations, and design new architectures for real-world AI problems from data mining to natural language processing.

Our teams collaborate with universities and publish papers, advancing AI while prioritizing safety and ethics.

Qualifications

• Bachelor's degree in Computer Science, Mathematics, Applied Stats, Machine Learning or equivalent practical experience.
• 5 years of experience with TensorFlow or similar ML frameworks (e.g., JAX or PyTorch).
• 2 years of experience in an applied research setting.

Responsibilities

• Lead ambitious team collaborations, aligning efforts across DeepMind to execute on shared, high-impact research goals.
• Report and present complex research breakthroughs clearly and efficiently. Act as a principal representative of our work internally and externally at global venues.
• Build, lead, and maintain strategic collaborations with key external research labs and leading individuals in the field.

Skills

ML frameworks

Applied ML research

Education

Bachelor's degree in CS/Math/ML or equivalent

Job description

• Bachelor's degree in Computer Science, Mathematics, Applied Stats, Machine Learning or or equivalent practical experience.
• 5 years of experience with TensorFlow or similar ML frameworks (e.g., JAX or PyTorch).
• 2 years of experience in an applied research setting.

Minimum qualifications

• Bachelor's degree in Computer Science, Mathematics, Applied Stats, Machine Learning or or equivalent practical experience.
• 5 years of experience with TensorFlow or similar ML frameworks (e.g., JAX or PyTorch).
• 2 years of experience in an applied research setting.

Preferred qualifications

• Experience with training diffusion models.
• Experience working in industry and on projects from proof-of-concept through to implementation.

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.

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: $174000 - $253000 (USD) + 15% bonus target + equity + benefits

Responsibilities

Learn more about benefits at Google .

• Lead ambitious team collaborations, aligning efforts across DeepMind to execute on shared, high-impact research goals.
• Report and present complex research breakthroughs clearly and efficiently. Act as a principal representative of our work internally and externally at global venues.
• Build, lead, and maintain strategic collaborations with key external research labs and leading individuals in the field.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .