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Tech Stack
Tools & technologiesPythonPyTorchTensorflow
About the role
Key responsibilities & impact- Innovation: You have ideas and you move fast. You care about impact, not just effort.
- Cross-Stack Optimization: You collaborate across software, hardware, and algorithmic domains to unlock system-wide efficiency gains.
- Measure What Matters: The ultimate signal of value is real-world impact. Our current algorithms are capable of interacting with the world which is why product thinking is inseparable from research.
Requirements
What you’ll need- A PhD or equivalent research experience in a computer science field
- 4-5+ years of industry experience
- Publishing record at ICML, NeurIPS, ACL, ICLR, EMNLP.
- Deep expertise in at least one area: model efficiency, real-time alignment or algorithmic optimization
- Systems thinking ability to understand and optimize across the full ML stack
- Strong programming skills in Python. Experience with deep learning frameworks (PyTorch, JAX, TensorFlow)
- Knowledge of model optimization techniques (RLHF, finetuning)
- Experience in an industry lab with computing at scale
Benefits
Comp & perks- Flexible work: In-person collaboration in the Bay Area, a distributed global-first team, and team offsites.
- Adaption Passport: Annual travel stipend to explore a country you've never visited. We're building intelligence that evolves alongside you, so we encourage you to keep expanding your horizons.
- Lunch Stipend: Weekly meal allowance for take-out or grocery delivery.
- Well-Being: Comprehensive medical benefits and generous paid time off.
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Pythondeep learning frameworksPyTorchJAXTensorFlowmodel efficiencyreal-time alignmentalgorithmic optimizationmodel optimization techniquesfinetuning
Soft Skills
innovationcollaborationsystems thinkingimpact-driven
Certifications
PhD in computer science
