Machine Learning Engineer Graduate (Content Ecology) -2025 Start (PhD)

$145,000 - $250,000/Yr

Tiktok - San Jose, CA

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, with a mission to inspire creativity and bring joy. The Content Ecology team is focused on leveraging AI and machine learning algorithms to enhance user experience across various sub-businesses under the short video business line. This includes initiatives such as TikTok Intelligent Customer Service, which utilizes large language models to tackle customer service challenges, and TikTok Local Services, which employs multimodal understanding technologies to address content governance issues. Additionally, the team is involved in TikTok Search, applying AI capabilities for event discovery and summarization. As a graduate joining this team, you will have unparalleled opportunities to kickstart your career, pursue bold ideas, and explore limitless growth opportunities. Successful candidates must commit to one of several start dates in 2025, and applications will be reviewed on a rolling basis. The role involves developing and implementing machine learning models, collaborating with cross-functional teams, and staying updated with advancements in AI and machine learning to continually improve models and solutions.

Responsibilities

• Develop and implement machine learning models to enhance user experience across various TikTok sub-businesses.
• Collaborate with cross-functional teams to integrate AI solutions into existing platforms.
• Conduct research and stay up-to-date with the latest advancements in AI and machine learning to continually improve our models and solutions.

Requirements

• BS/MS Degree in Computer Science or a related major.
• Experienced in programming and algorithmic skills, proficient in languages such as Python or C++.
• Deep understanding of one of the following areas: NLP (Natural Language Processing), CV (Computer Vision), LLM (Large Language Models)/MLLM (Multimodal Language Models), or Search.
• Experienced in one or more of the following topics: TensorFlow, PyTorch, or other machine learning frameworks.
• Good team communication and collaboration skills.

Nice-to-haves

• Experience in building ML model development for large-scale consumer-facing applications.
• Experience or domain expertise in one or more of the following areas: NLP, CV, LLM/MLLM, Dialog System, Search, Recommendation Systems, etc.
• Published papers or hands-on project experience in the fields of NLP, CV, or multimodal technologies.

Benefits

• 100% premium coverage for employee medical insurance, approximately 75% premium coverage for dependents.
• Health Savings Account (HSA) with a 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 plus 17 days of Paid Personal Time Off (PPTO) (prorated upon hire and increased by tenure).
• 10 paid sick days per year.
• 12 weeks of paid Parental leave and 8 weeks of paid Supplemental Disability.
• Mental and emotional health benefits through EAP and Lyra.
• 401K company match.
• Gym and cellphone service reimbursements.