Staff Research Engineer, Applied AI
Google DeepMind · Mountain View, CA, USA
CHECKED 23H AGO
Frontier labonsitestaff$207k–$300k
At a glance
Highlights
- Lead 0-to-1 development of novel apps on Google's generative AI models.
- Build sophisticated agents and workflows powered by DeepMind models.
- Partner with customers to turn AI research into real-world products.
Ideal candidate
Seasoned applied AI builder who thrives in ambiguity and 0-to-1 creation, translating research into shipped products with customer impact. Collaborative technical leader motivated by real-world problem solving at frontier-model scale.
Requirements
- Bachelor's in Electrical, Computer Engineering, Computer Science or related field or equivalent experience
- 8 years software development experience including system design, data structures and algorithms
- 5 years building, training and deploying ML models to production
- Experience with Generative AI/LLMs including fine-tuning, dataset curation and evaluation pipelines
- Experience architecting and shipping complex ML systems from scratch
- Strong communication and cross-functional collaboration turning ambiguous problems into technical designs
Lab profile
About Google DeepMind
Google's AI lab building frontier models like Gemini to advance science and general intelligence.
What they build
- Gemini
- Gemma
- AlphaFold
Known for
- Frontier foundation models and GenAI
- Large-scale training with JAX, PyTorch, TensorFlow
- Model evaluation and deployment expertise
- Responsible frontier AI research
Key facts
- Founded in 2010
- Headquartered in London, UK
- Part of Google (Alphabet)