17 часов назад
Member of Technical Staff — Model Optimization and Inference (Experienced)
250 000 - 350 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Member of Technical Staff — Model Optimization and Inference (Experienced) (AI inference): Optimizing real-time inference across LLM, audio, and diffusion model stacks with an accent on sub-500ms latency, throughput, KV caching, quantization, and serving infrastructure. Focus on profiling bottlenecks, accelerating multimodal full-duplex systems, and developing efficient kernels and deployment strategies for production workloads.
Location: In-person in Seattle, Washington, five days a week
Salary: $250,000–$350,000 base salary per year, plus equity
Company
is a research company building photorealistic, real-time AI avatars with emotional intelligence through full-duplex audiovisual foundation models.
What you will do
- Own end-to-end inference optimization across LLM, audio, and diffusion model stacks.
- Implement KV cache strategies for long-context conversations, including eviction, compression, and memory-efficient attention.
- Evaluate, deploy, and extend vLLM, SGLang, TensorRT-LLM, and similar inference serving frameworks.
- Profile and benchmark latency and throughput, systematically identifying and eliminating bottlenecks.
- Build profiling viewers, inference test harnesses, and internal tooling for rigorous optimization.
- Accelerate diffusion inference and apply quantization, custom kernels, batching, and other inference-time optimization techniques.
Requirements
- Significant hands-on experience optimizing LLM inference in production or high-traffic research environments.
- Proficiency with vLLM, SGLang, TensorRT-LLM, or similar frameworks, including adapting non-default configurations to specialized workloads.
- Experience optimizing diffusion model inference through latency reduction, step distillation, caching, or kernel-level work.
- Strong Python and PyTorch skills, with a systematic measure-first approach to profiling and optimization.
- Experience with KV caching, memory layout, attention kernels, batching strategies, or speculative decoding.
- Visa sponsorship is available from day one, including O-1, H-1B, and green card sponsorship.
Nice to have
- Experience with post-training quantization such as GPTQ or AWQ.
- Familiarity with multimodal or streaming inference architectures.
- Experience deploying real-time AI systems with hard latency SLAs.
- Experience at an AI lab, inference startup, or high-traffic model serving platform.
- Open-source contributions to inference frameworks.
Culture & Benefits
- Small research-focused team working on unsolved real-time AI problems.
- AI-native tooling and access to advanced development tools.
- HSA health plan with approximately $2,000 in annual company contributions.
- 15 days of PTO, public holidays, and a full week of office closure at year-end.
- Weekday meals, drinks, snacks, commuter benefits, and a 401(k) plan.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →