Forward Deployed Engineer, Kaggle
Google DeepMind · Mountain View, CA, USA · New York, NY, USA
CHECKED 22H AGO
Frontier labonsite$174k–$232k
At a glance
Highlights
- Own end-to-end onboarding of critical new benchmarks to Kaggle platform.
- Run systematic joint evals delivering high-fidelity signals to modeling teams.
- Author case studies and blogs showcasing Gemini's production capabilities.
What they offer
- 15% bonus target
Ideal candidate
A customer-obsessed engineer who thrives bridging partners and research teams, passionate about evals, community, and turning technical insights into compelling stories.
Requirements
- Bachelor's degree or equivalent practical experience
- 5 years of experience with software development and coding in Python, JavaScript/TypeScript, or similar languages
- 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture
- Experience with Machine Learning systems or Large Language Models (LLMs)
- Experience in a customer-facing role managing client relationships or external stakeholders
- Experience building public benchmarks and evals
- Experience working with developer tools, APIs, SDKs, or platform integration
- Ability to collaborate directly with external customers or partners in a technical capacity
- Ability to work independently with minimal oversight across global time zones
- Excellent technical writing and communication skills with ability to produce documentation, tutorials, or engineering case studies
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)