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Machine Learning Engineer, TikTok Ads Core Global - Traffic & Strategy

Machine Learning Engineer, TikTok Ads Core Global - Traffic & Strategy

TikTokSan Jose, CA, US
30+ days ago
Job type
  • Full-time
Job description

Responsibilities

Ads Core ML Team aims at creating automatic delivery products for the next generation and developing advertising as a global business, instead of just a monetization tool to consolidate the delivery funnel framework allowing multiple teams to iterate parallel.

Ads Core Traffic Strategy & User Experience team is essential to TikTok's success, our work focuses are :

Personalized Ads Experience : We optimize every stage of the ad delivery pipeline, from recall and ranking to final placement, by integrating user feedback to make ads more relevant and engaging.

Cutting-Edge Multi-Scenario Integration : this includes building context models that analyze ads-related information and scene elements to improve accuracy, as well as developing list-wise models to optimize recommendation outcomes and ads ROIs.

We're looking for innovative Machine Learning Engineers to develop state-of-art ad technologies, including ranking, retrieval, targeting, bidding, auction, etc. You will be part of a team that's optimizing ads format and ranking strategies, and you will be responsible for bringing a better returns on investment for advertisers.

What will you do

Achieve extreme iteration and optimization of advertising models via adanvanced technologies like AIGC / LLMs / RL / DL to enhance TikTok's overall revenue and system efficiency, plus improving customer experience.

Optimize the delivery efficiency of automatic delivery products, aiming to increase the penetration rate and lift compared to manual delivery.

Iterate bidding and budget algorithms to sort out the best matching traffic as aspect of advertisers.

Develop ads delivery capability as a tool for doing business with joint effort of TikTok's global recommendation optimization.

Establish a robust, flexible and fair framework for multiple teams to parallely iterate related models in the delivery funnel.

Qualifications

BS / MS degree in Computer Science, Computer Engineering, or a related technical discipline with industry experience or model optimization experience.

Solid programming skills, proficient in C / C and Python. Good theoretical grounding in deep learning concepts and techniques. Familiar with Linux development environment.

Good analytical and critical thinking capabilities. Have essential knowledge and skills in statistics.

Familiar with architecture and implementation of at least one mainstream machine learning programming framework (TensorFlow / Pytorch / MXNet).

Good collaboration skills, with the ability to work effectively with cross-functional teams across different locations and time zones for global business needs.

Preferred Qualifications

Participation in national math / coding competitions (ACM / Hacker Cup / Hash Code / USACO / IOI / CCPC etc.)

Good understanding in one of the following domains : ads bidding & auction, ads quality control, and online advertising systems (familiar with one or more of these terms : CPC / CPM, CTR / CVR, Ranking / Targeting, Conversion / Budget, Campaign / Creative, Demand / Inventory, DSP / RTB).

Experience in resource management and task scheduling with large scale distributed software (such as Spark and TensorFlow).

About TikTok

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.

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. When we create and grow together, the possibilities are limitless. Join us.

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.

TikTok Accommodation

TikTok 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 / RA-request

Job Information

Compensation Description (Annually) The base salary range for this position in the selected city is $136800 – $259200 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; and

Exercising sound judgment.

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Machine Learning Engineer • San Jose, CA, US

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