about 3 hours ago
Palo Alto, CA, USASenior
Base Salary
$195k - $262k/yr
Responsibilities
- Own focused research projects from hypothesis through experiment, ablation, prototype, and production handoff.
- Prepare internal reports, technical blogs, or papers when the work is externally credible.
- Partner directly with MLEs to ensure research prototypes become usable production components.
- Define and execute research programs in efficient LLM and VLM inference with measurable production impact.
- Invent, evaluate, and productionize methods for quantization, QAT, distillation, and other optimization techniques.
- Build high-quality prototypes in PyTorch and related frameworks, then work with MLEs to productionize them.
- Design rigorous evaluation methodology covering various performance metrics.
- Publish papers, technical reports, and open-source artifacts to build external credibility.
- Collaborate with various teams to choose high-leverage research bets.
- Mentor engineers and scientists on experimental design and scientific rigor.
Requirements
- PhD in computer science, machine learning, or a closely related field.
- Strong publication record or equivalent research artifacts in relevant areas.
- Strong hands-on coding ability in Python and PyTorch.
- Deep understanding of LLMs, VLMs, and production-serving tradeoffs.
- Strong experimental design skills, including statistical reasoning.
- Excellent written and verbal communication skills.
Benefits
- 100% company-paid medical, dental, and vision coverage for employees and families.
- 401(k) plan with up to 4% company match and immediate vesting.
- 20 weeks paid parental leave for primary caregivers, 12 weeks for secondary caregivers.
- Remote work reimbursement of up to $85/month for mobile and internet.
- Company-paid short-term, long-term, and life insurance coverage.