Machine Learning Engineer - Search Ads

TikTok is seeking a Machine Learning Engineer for its Search Ads team in San Jose, CA (onsite).

Responsibilities

• Contribute to the development of a large-scale Ads system across TikTok apps
• Own relevance modeling and strategy optimization, including semantic matching, active learning, multi-model text/photo/video inputs, and ranking strategies
• Contribute to the design and iteration of Ads algorithms through machine learning techniques
• Advance NLP capabilities and query understanding such as query classification, seq2seq models, Named Entity Recognition, knowledge graphs, and bidword optimization
• Improve CTR and CVR estimation accuracy via data analysis, modeling, and feature engineering
• Research and develop pacing algorithms and traffic control for ads
• Collaborate with product managers and the strategy and operations teams to define product features and direction

Requirements

• Bachelor of Science degree in Computer Science, Computer Engineering or related field
• Strong programming, debugging, and optimization skills in general purpose programming languages
• Critical thinking with the ability to formulate clear, concise solutions to problems

Technologies

• Go
• C/C++
• Python

Compensation

• Base salary range: $156,000 - $316,800 per year
• Potential discretionary bonuses or incentives
• Restricted stock units
• Medical, dental, and vision insurance
• 401(k) savings plan with company match
• Paid parental leave
• Short-term and long-term disability coverage
• Life insurance
• Wellbeing benefits
• 10 paid holidays per year
• 10 paid sick days per year
• 17 days of Paid Personal Time

LA County (Unincorporated) Candidates

• Interacting with internal and external clients or colleagues, occasionally without supervision
• Handling confidential information, including proprietary and trade secrets, and access to IT systems
• Exercising sound judgment