Research Developer, Frontier AI Incubation
Google DeepMind · Montreal, QC, Canada
CHECKED 22H AGO
Frontier labonsite$130k–$133k
At a glance
Highlights
- Build foundational algorithms for personalized adaptation and agentic workflows.
- Lead end-to-end development from prototype to scaled production infrastructure.
- Create novel evaluation methods for capability, alignment and personalization.
What they offer
- 15% bonus target
- equity
- benefits
Ideal candidate
Research-minded engineer with 2+ years in ML who loves taking ideas from prototype to production. You thrive bridging research and product to build personalized, agentic AI systems.
Requirements
- Bachelor's degree in Computer Science, Machine Learning, Mathematics, Statistics or equivalent experience
- 2 years of experience in machine learning, algorithm design, data structures or distributed systems
- 2 years of experience programming in Python or C++
- 1 year taking ML systems from concept to implementation and deployment
- Experience developing, fine-tuning or optimizing foundation models
- Experience with ML frameworks and large-scale training or serving infrastructure
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)