Machine Learning Engineer, SMB

$129,960 - $194,750/Yr

Tiktok - Seattle, WA

Full-time - Mid Level

Seattle, WA

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 SMB engineering team is dedicated to developing software that empowers small and medium businesses to succeed by building scalable platforms, seamless products, and comprehensive solutions. As the SMB revenue is expected to become a significant portion of the total ads business in the coming years, the engineering team is committed to solving challenging yet interesting problems through advanced software architecture, engineering practices, and cutting-edge algorithms. Collaboration is key, as the team works closely with strategies, data scientists, product managers, operations, and sales teams, leveraging diversity in skills, culture, and background as a source of power. We are seeking machine learning engineers who are passionate about innovating and creating scalable and reliable software solutions. The role involves tackling various challenging problems, including creative recommendation systems, ads delivery optimization, personalized coupons, and LLM-based customer support. The successful candidate will be responsible for building the growth algorithm for TikTok Monetization, optimizing the delivery system, and constructing intelligence services that explore the application of large language models. This position offers an exciting opportunity to contribute to the growth and success of our SMB customers while driving revenue for the company.

Responsibilities

• Responsible for building the growth algorithm of TikTok Monetization, including the acquisition, conversion, and resurrection of advertisers.
• Participate in the optimization of TikTok Monetization delivery system, including targeting, recall, and ranking.
• Responsible for the construction of TikTok Monetization intelligence service, exploring the application of large language models.

Requirements

• Master's degree in Computer Science, Engineering, Mathematics, or a related field.
• Experience with machine learning, in either an academic or industrial setting.
• Strong knowledge of machine learning algorithms and techniques, including natural language processing, computer vision, click-through rate prediction, etc.
• Proficiency in programming languages such as Python, C++, Go, or Java, and experience with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, or scikit-learn).
• Experience with big data technologies, such as Hadoop, Spark, or Hive.
• Strong analytical and problem-solving skills, with the ability to develop creative solutions to complex problems.
• Very strong teamwork skills (e.g. communication, collaboration, ownership, empathy, honesty).

Nice-to-haves

• PhD in Computer Science, Engineering, Mathematics, or a related field.
• Relevant experience in Growth, Search, Advertising, Recommendation and AIGC industries.

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.