Tiktok - San Jose, CA

posted 3 months ago

Full-time - Mid Level
San Jose, CA
Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services

About the position

TikTok is the leading destination for short-form mobile video, and our mission is to inspire creativity and bring joy. As a Machine Learning Engineer on the Social Recommendation team, you will play a pivotal role in enhancing user experience and driving platform growth through innovative recommendation systems. This team is composed of machine learning researchers and engineers who are dedicated to supporting and innovating production recommendation models that have a significant impact on our products. The environment is dynamic, fast-paced, collaborative, and focused on making a difference. In this role, you will be responsible for building industry-leading recommendation systems that improve user experience, enhance the content ecosystem, and ensure platform security. You will deliver end-to-end machine learning solutions to tackle critical product challenges and own the full stack machine learning system. This includes optimizing algorithms and infrastructure to enhance recommendation performance. Collaboration with cross-functional teams will be essential as you design product strategies and develop solutions to expand TikTok's reach in key markets. We are looking for individuals who are passionate about machine learning techniques and enjoy solving complex problems. You will be part of a team that values creativity, innovation, and the courage to challenge the status quo. At TikTok, we believe that every challenge is an opportunity to learn and grow, and we are committed to creating an inclusive environment where diverse voices are celebrated.

Responsibilities

  • Build industry-leading recommendation system, improving user experience, content ecosystem and platform security.
  • Deliver end-to-end machine learning solution to address critical product challenges.
  • Own the full stack machine learning system and optimize algorithms and infrastructure to improve recommendation performance.
  • Work with cross functional teams to design product strategies and build solutions to grow TikTok in important markets.

Requirements

  • Bachelor degree or above in computer science or a related major, with 2+ years of related work experience.
  • Strong software development experience with C++, Python or other programming language.
  • Experience in one or more of the following areas: applied machine learning, machine learning infrastructure, large-scale recommendation system, market-facing machine learning product.
  • Strong communication and teamwork skills.
  • Passion about techniques and solving challenging problems.

Benefits

  • 100% premium coverage for employee medical insurance
  • Approximately 75% premium coverage for dependents
  • Health Savings Account (HSA) with company match
  • Dental insurance
  • Vision insurance
  • Short/Long term Disability insurance
  • Basic Life insurance
  • Voluntary Life and AD&D insurance plans
  • Flexible Spending Account (FSA) options
  • 10 paid holidays per year
  • 17 days of Paid Personal Time Off (PPTO)
  • 10 paid sick days per year
  • 12 weeks of paid Parental leave
  • 8 weeks of paid Supplemental Disability
  • Mental and emotional health benefits through EAP and Lyra
  • 401K company match
  • Gym reimbursement
  • Cellphone service reimbursement
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