6 дней назад
Senior AI Infra Engineer (LLM/ML)
177 688 - 341 734$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior AI Infra Engineer (LLM/ML): Building scalable, reliable, high-performance ML/LLM infrastructure and systems for TikTok E-commerce algorithm services with an accent on system architecture, LLM serving, and inference optimization. Focus on designing high-throughput infrastructure, optimizing latency and memory management, and integrating emerging technologies across complex engineering efforts.
Location: Seattle, United States. The role is transitioning to a fully in-person schedule of up to 5 days per week.
Base salary: $177,688–$341,734 annually, with potential additional bonuses, incentives, and restricted stock units.
Company
operates data privacy, cybersecurity, trust and safety, and U.S. user data protection programs for TikTok-related apps and services.
What you will do
- Lead the design, implementation, and operation of scalable, reliable, high-performance ML/LLM infrastructure.
- Build user-friendly tools and robust systems supporting TikTok E-commerce algorithm services and GMV growth.
- Partner with teams, organizations, and internal and external stakeholders on complex engineering initiatives.
- Drive technical strategy and integrate emerging technologies and novel infrastructure approaches.
- Improve end-to-end LLM serving performance across latency, throughput, and memory management.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or a related technical discipline.
- At least 3 years of hands-on experience building, training, and deploying complex, scalable machine learning systems.
- Strong knowledge of computer science fundamentals, including algorithms, data structures, software design patterns, and problem-solving.
- Strong programming skills and understanding of ML/LLM system internals.
- Experience managing technical projects and delivering results.
- Ability to work fully in person in Seattle, up to 5 days per week.
Nice to have
- In-depth experience with large language model systems and infrastructure.
- Experience with high-performance LLM serving frameworks such as vLLM or SGLang.
- Deep understanding of the full LLM serving stack and end-to-end inference optimization.
Culture & Benefits
- Medical, dental, and vision insurance from the first day.
- 401(k) savings plan with company match.
- Paid parental leave, disability coverage, life insurance, and wellbeing benefits.
- 10 paid holidays, 10 paid sick days, and 17 days of paid personal time.
- Inclusive workplace focused on creativity, curiosity, collaboration, resilience, and continuous innovation.
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