Senior Applied ML Research Engineer — Diffusion & AI

DeepMind Technologies Limited; Mountain View (CA); On-site; USD 174,000 - 252,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

Google DeepMind seeks a research-focused Software Engineer to advance AI research and deploy ideas at scale. You will design experiments, prototype architectures, and collaborate with universities and research labs while contributing to safety and broad impact.

Minimum qualifications include a Bachelor's degree in CS/Math/ML, 5 years with TensorFlow or similar ML frameworks (e.g., JAX or PyTorch), and 2 years in an applied research setting.

Qualifications

• Bachelor's degree in Computer Science, Mathematics, Applied Statistics, 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.
• Build, lead, and maintain strategic collaborations with key external research labs and leading individuals in the field.
• Act as a principal representative of our work internally and externally at global venues.

Skills

Applied research experience

Diffusion models experience

Education

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

Tools

TensorFlow

PyTorch / JAX

Job description

Google DeepMind seeks a research-focused Software Engineer to advance AI research and deploy ideas at scale. You will design experiments, prototype architectures, and collaborate with universities and research labs while contributing to safety and broad impact.

Minimum qualifications include a Bachelor's degree in CS/Math/ML, 5 years with TensorFlow or similar ML frameworks (e.g., JAX or PyTorch), and 2 years in an applied research setting.