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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Machine Learning Engineer Graduate (Ads Signal & Measurement) - 2027 Start - **Company:** Tiktok Inc. - **Location:** San Jose, CA, United States - **Experience:** Starter - **Salary:** $128,000.0 - $256,000.0 - **Contract:** Internship / Graduate position - **Skills:** Java (Programming Language), Big Data, C++ (Programming Language), Signals Intelligence, Computer Programming, Data Mining, Data Structures, Python (Programming Language), Machine Learning, Tensorflow, Pytorch, Large Language Models, Apache Spark, Kaggle, Information Technology, Apache Flink, Data Pipelines, Golang - **Published:** August 3, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=0ed54b2c376ac526 ## About the Role * 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 ## Description 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. ## Related Videos - [Machine learning 101: Where to begin?](https://www.wearedevelopers.com/videos/1014-machine-learning-101-where-to-begin) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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