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TikTok

Senior Machine Learning Engineer, Ads Pangle - USDS

TikTok, Seattle, Washington, us, 98127

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About the team Pangle is the ad network of TikTok for Business, helping mobile developers accelerate growth, deliver engaging ad experiences, and maximize revenue by accessing TikTok's global advertising demand. Operating in more than 36 countries and regions, Pangle has built a strong reputation for driving measurable results for app partners worldwide. As Pangle expands into the U.S. market, we’re building our advertising platform from the ground up — tackling exciting new challenges in large-scale systems, optimization, and machine learning. Join us to shape the future of mobile monetization and grow your career in a fast-moving, global team. In order to enhance collaboration and cross‑functional partnerships, our organization follows a hybrid work schedule that requires employees to work in the office 3 days a week, or as directed by their manager/department. We regularly review our model, and the specific requirements may change at any time.

Responsibilities

Develop and optimize bidding algorithms and strategies across Pangle’s ad delivery systems, including targeting, retrieval, ranking, and bidding models, with a focus on improving monetization efficiency and overall ad ROI.

Improve the performance and efficiency of large‑scale, online‑learning–based deep models for real‑time advertising applications.

Apply advanced modeling techniques and strategic thinking to enhance attribution accuracy, delivery quality, and long‑term ecosystem sustainability; identify and drive innovative commercialization technologies and product solutions.

Design, build, and iterate on core ad prediction models such as CTR (Click‑Through Rate) and CVR (Conversion Rate) models.

Qualifications Minimum Qualifications:

Bachelor’s degree in computer science or related technical disciplines.

3+ years of hands‑on experience with building and training complex and scalable machine‑learning systems.

Strong computer‑science fundamentals (algorithms, data structures, software design) and problem‑solving skills.

Strong coding skills and a solid understanding of machine‑learning algorithms, particularly deep learning and ranking models.

Experience leading or driving machine‑learning projects.

Preferred Qualifications:

Strong theoretical background in machine‑learning and deep learning, with proficiency in at least one major framework (e.g., TensorFlow, PyTorch).

Demonstrated experience optimizing large‑scale advertising systems, including bidding algorithms and delivery strategies. Familiarity with OCPC, OCPM, and AEO bidding models, and understanding of ad delivery mechanisms.

Excellent teamwork and communication skills, with a strong sense of ownership and the ability to move projects forward independently.

Strong business and data intuition, passion for tackling complex problems, and proven ability in abstraction, project execution, and innovation.

About USDS U.S. Data Security (“USDS”) is a subsidiary of TikTok in the U.S. This new, security‑first division was created to bring heightened focus and governance to our data protection policies and content assurance protocols to keep U.S. users safe. Our focus is on providing oversight and protection of the TikTok platform and U.S. user data, so millions of Americans can continue turning to TikTok to learn something new, earn a living, express themselves creatively, or be entertained. The teams within USDS that deliver on this commitment daily span across Trust & Safety, Security & Privacy, Engineering, User & Product Ops, Corporate Functions and more.

Why Join Us 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. We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We’re resilient and embrace challenges as they come. By constantly iterating and fostering an “Always Day 1” mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users.

Diversity & Inclusion 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.

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 https://tinyurl.com/USDS-RA

Job Information Compensation Description (Annually): The base salary range for this position in the selected city is $177,688 - $341,734 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.

Seniority Level Mid‑Senior level

Employment Type Full‑time

Job Function Engineering and Information Technology

Industries Computer Networking Products

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