Tiktok - San Jose, CA

posted 3 months ago

Full-time - Entry 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. Our global headquarters are located in Los Angeles and Singapore, with additional offices in major cities around the world. At TikTok, we believe that creation is at the core of our purpose, and we strive to help imaginations thrive. This philosophy extends to our teams, who work together to overcome challenges and drive impact for our company and the communities we serve. We are committed to innovation and growth, and we invite talented individuals to join us in this mission. Our team is at the forefront of developing large language model-based applications, focusing on enhancing user interactions through personalized chat, search, and recommendation experiences. We leverage our expertise in artificial intelligence to create advanced algorithms that understand, learn, and predict user behavior. Our goal is to revolutionize the way users engage with machines, making interactions more intuitive and human-like. We are looking for passionate individuals to join our team in 2025, where you will have unparalleled opportunities to kickstart your career and explore limitless growth potential. Successful candidates must be able to commit to an onboarding date by the end of 2025, and applications will be reviewed on a rolling basis. We encourage early applications, as candidates can apply to a maximum of two positions within TikTok and its affiliates globally. As part of your role, you will be responsible for designing and implementing a global-scale machine learning system for various applications, including chat bots, feeds, ads, and search ranking models. You will leverage large language models and improve them using techniques such as Supervised Fine-Tuning (SFT) and Reinforcement Learning from Human Feedback (RLHF). Additionally, you will work on enhancing the workflow of model training and serving, managing data pipelines, and resource allocation. Your work will connect cutting-edge academic research with user-facing products, driving innovation and excellence in our offerings.

Responsibilities

  • Responsible for the design and implementation of a global-scale machine learning system for chat bot, feeds, ads and search ranking models
  • Leverage large language models in applications, improving them via techniques like SFT and RLHF
  • Improve the workflow of model training and serving, data pipelines and resource management
  • Connect cutting edge academic research with user-facing next generation products

Requirements

  • Currently pursuing a PhD in Software Development, Computer Science, Computer Engineering, or a related technical discipline
  • Proficient in C/C++/Python/Golang, with exceptional programming skills (expert with algorithms and data structures)
  • Familiarity with deep learning frameworks like TensorFlow/PyTorch
  • Exceptional problem-solving skills with the ability to think critically and creatively
  • Knowledge, passion, curiosity, and exposure to areas in Machine Learning / Artificial Intelligence
  • Experience, research, internship, or coursework related to Large Language Models or related fields
  • Ability to work independently and complete projects from beginning to end in a timely manner
  • Strong teamwork and communication skills

Nice-to-haves

  • Experience in big data frameworks (e.g., K8s/Spark/Hadoop/Flink)
  • Experience in resource management and task scheduling for large scale distributed systems
  • Experience in building solutions with AWS, GCP, Azure, OCI, AliCloud or other cloud services
  • Strong background in High Performance Computing, ML Hardware Acceleration (e.g., GPU/TPU/RDMA) or ML for Systems

Benefits

  • 100% premium coverage for employee medical insurance
  • Approximately 75% premium coverage for dependents
  • Health Savings Account (HSA) with company match
  • Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life and AD&D insurance plans
  • Flexible Spending Account (FSA) Options like Health Care, Limited Purpose and Dependent Care
  • 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 and cellphone service reimbursements
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service