Senior Machine Learning Engineer - USDS Shop Ads

Responsibilities The TikTok USDS shop Ads team is dedicated to blending advertiser focus with technical expertise. Our mission is to enhance shop ads—both open-loop and closed-loop—to establish TikTok US as an essential growth engine for businesses of all sizes and a top destination for consumers to discover and buy products, content, and services. We are crucial to driving TikTok's ad revenue and are committed to developing the next-generation shop ad solutions for the platform. Key Responsibilities: Build highly scalable machine learning systems and state-of-the-art machine learning models to improve ad ranking quality and optimize advertisers' marketing strategies. Examples include but are not limited to click through rate prediction, conversion rate prediction, intelligent format selection and user journey optimization. Explore, develop and experiment with new features to improve model accuracy. Understand ads platform objectives and take full advantage of modern machine learning to improve ads relevance, quality, and quantity delivered to end-users. Collaborate with Global counterpart, Product Managers, Designers, and other disciplines to explore the next generation of shopping experiences on TikTok. Qualifications Minimum Qualifications: Highly self‑motivated to drive business growth and foster technical advancement. Proficient in using SQL and Python and experience with data manipulation. Experience with big data processing frameworks (e.g., Hadoop, Spark) and distributed computing for efficient data mining on large-scale datasets. Solid understanding of machine/deep learning concepts and techniques, including feature engineering, model evaluation, and optimization. Strong analytical and problem‑solving skills, with a demonstrated ability to handle and derive insights from complex and unstructured datasets. Preferred Qualifications: Master's or advanced degree in Computer Science, Data Science, Statistics, or a related field. 5+ years experience as a Machine Learning Engineer, Data Scientist, and experience in causal machine learning is preferred. Work experience in user growth, marketing algorithms, recommendation algorithms, advertisement algorithms or related fields is preferred. Excellent communication and collaboration skills, with the ability to work effectively in cross‑functional teams and convey technical concepts to non‑technical stakeholders. USDS Reasonable Accommodation USDS is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at Job Information 【For Pay Transparency】Compensation Description (Annually) The base salary range for this position in the selected city is $177,688 - $416,100 annually. 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. For Los Angeles County (unincorporated) Candidates: 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: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; Exercising sound judgment. #J-18808-Ljbffr TikTok USDS Joint Venture