13 дней назад
Machine Learning Engineer, AI Search - USDS
136 800 - 359 720$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Machine Learning Engineer, AI Search - USDS (LLM/Search/Recommendation Systems): Building large-scale personalized search and recommendation systems for TikTok's video, ecommerce, local service, and AI search products with an accent on LLM integration, generative recommendations, and multimodal content understanding. Focus on deploying robust machine learning systems, recognizing user intent, improving personalization, and collaborating across product, data science, infrastructure, and operations.
Location: San Jose, United States; fully in-person up to 5 days per week
Salary: $136,800–$359,720 annually, plus potential bonuses, incentives, and restricted stock units.
Company
operates TikTok apps and focuses on protecting U.S. user data, national security, cybersecurity, trust and safety, and the content ecosystem.
What you will do
- Develop, experiment with, analyze, and deploy large-scale personalized search and recommendation systems.
- Integrate large language models into recommendation pipelines for content understanding, user intent recognition, personalization, and content generation.
- Explore hybrid approaches combining LLMs with traditional recommendation systems to reduce feedback loops and identify new user interests.
- Advance generative recommendation systems that generate personalized content recommendations beyond traditional ranking methods.
- Collaborate with product managers, data scientists, infrastructure engineers, and operations teams to align search personalization with product goals.
Requirements
- Bachelor’s or advanced degree in Computer Science, Machine Learning, or a related field.
- Proficiency with machine learning frameworks such as TensorFlow or PyTorch and programming languages including Python, Java, or C++.
- Strong understanding of data structures and algorithms.
- At least 2 years of experience developing large-scale search or recommendation systems.
- Hands-on experience deploying and improving LLMs for real-world applications, including prompt engineering, supervised fine-tuning, reinforcement learning, and retrieval-augmented generation.
- Ability to work fully in person in San Jose up to 5 days per week.
Nice to have
- Experience with generative recommendation frameworks and large-scale applications.
- Experience working with international teams and diverse user behaviors.
- Open-source contributions related to search, recommendation, or NLP.
- Publications or contributions to NeurIPS, ICML, ACL, or RecSys.
Culture & Benefits
- Medical, dental, and vision insurance from day one.
- 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 curiosity, humility, resilience, continuous iteration, and measurable impact.
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