Machine Learning Engineer Graduate (Advertisement Team) - 2025 Start (BS/MS)

$113,500 - $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, and our mission is to inspire creativity and bring joy. With global headquarters in Los Angeles and Singapore, and offices in major cities around the world, we are committed to creating a platform that helps imaginations thrive. Our Ads/Monetization Technology teams are at the forefront of building next-generation monetization platforms that empower millions of customers to grow their businesses using TikTok's innovative products. We develop a wide variety of advertisements for numerous applications, including feeds, live streaming, branding, measurement, targeting, vertical solutions, creative solutions, and business integrity. As a graduate joining our team in 2025, you will have unparalleled opportunities to kickstart your career, pursue bold ideas, and explore limitless growth opportunities. You will participate in the development of a large-scale Ads system and be responsible for state-of-the-art applied machine learning projects. You will own key targeting components or strategies within the TikTok ads monetization ecosystem and collaborate with product and business teams to shape the product vision. Successful candidates must be able to commit to an onboarding date by the end of 2025, and we encourage early applications as we review candidates on a rolling basis. Please clearly state your availability and graduation date in your resume, as we will prioritize candidates who can meet these start dates.

Responsibilities

• Participate in the development of a large-scale Ads system.
• Responsible for the development of state-of-the-art applied machine learning projects.
• Own key targeting components or strategies in the TikTok ads monetization ecosystem.
• Work with product and business teams on product vision.

Requirements

• Bachelor's degree in Computer Science, Computer Engineering, or other relevant majors.
• Excellent programming, debugging, and optimization skills in one or more general purpose programming languages, including but not limited to: Go, C/C++, Python.
• Experience with deep learning and machine learning.
• Ability to think critically and to formulate solutions to problems in a clear and concise way.

Nice-to-haves

• Good understanding in one of the following domains: ads bidding & auction, ads quality control, and online advertising systems.

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.
• 8 weeks of paid Supplemental Disability.
• Mental and emotional health benefits through our EAP and Lyra.
• 401K company match.
• Gym and cellphone service reimbursements.