Machine Learning Engineer Graduate (Ads Signal & Measurement) - 2027 Start

The Signal & Measurement team at TikTok Ads owns the full stack of advertising effectiveness - from signal collection and identity resolution to attribution modeling and causal measurement. We build the systems and models that help advertisers worldwide understand and maximize the true business value of their ad spend on TikTok., * Build and improve machine learning models for signal quality - anomaly detection, signal recovery, denoising, and correction - to ensure the reliability of advertiser conversion data at scale.

• Contribute to cross-platform identity resolution: improve the precision and coverage of our Identity Graph through probabilistic matching models and graph algorithms.
• Participate in attribution model design and implementation, including multi-touch attribution (MTA), modeled conversions, and incrementality measurement.
• Drive the downstream application of signal, identity, and attribution data in ranking models - improve conversion prediction and bidding/ranking quality by feeding higher-fidelity signals, resolved identities, and modeled conversions into ads ranking systems, and own the data-to-model feedback loop end to end.
• Help build large-scale experimentation infrastructure and data pipelines powering Conversion Lift, Brand Lift, Split Test, and cross-media measurement products.
• Explore LLM-powered signal intelligence - apply large language models to the semantic understanding of advertiser conversion data, enabling intelligent classification, quality assessment, and automated correction of event signals.
• Collaborate with Product, Data Science, and Infrastructure teams to turn algorithmic ideas into production systems serving advertisers globally.

• Individuals who are completing or have recently completed a Bachelor’s or above degree in Computer Science, Statistics, Mathematics, Electrical Engineering, or a related technical discipline.
• Solid foundation in machine learning and statistics: comfortable with concepts such as hypothesis testing, regression, probabilistic models, and ideally causal inference.
• Strong programming skills in at least one of Python, Go, Java, or C/C++, with a solid grasp of data structures and algorithms.
• Hands-on ML experience through coursework, research, internships, or personal projects (e.g., training and evaluating models on real-world data).
• Strong communication skills and eagerness to learn in a fast-paced environment., * Internship, research, or project experience in one or more of: computational advertising, recommendation/search ranking, causal inference or A/B experimentation, entity resolution/graph learning, anomaly detection, or applied LLMs/NLP.
• Publications at ML/data mining venues (e.g., NeurIPS, ICML, KDD, WWW) or strong performance in algorithm/ML competitions (e.g., ACM-ICPC, Kaggle).
• Experience with large-scale data processing frameworks (e.g., Spark, Flink) or ML frameworks (e.g., PyTorch, TensorFlow).
• Genuine curiosity about ads tech and how advertisers think about ROI and measurement., Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment

Pulled from the full job description Paid parental leave Parental leave Health insurance 401(k) matching Vision insurance Dental insurance Paid sick time, Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.

Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).

The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok’s global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo., Inspiring creativity is at the core of TikTok’s mission. Our innovative product is built to help people authentically express themselves, discover and connect - and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day., TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.