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Machine Learning Engineer, TikTok Ads Creative & Ecosystem

Machine Learning Engineer, TikTok Ads Creative & Ecosystem

MediabistroSan Jose, CA, United States
30+ days ago
Job type
  • Full-time
Job description

Overview

Machine Learning Engineer, TikTok Ads Creative & Ecosystem

Responsibilities and qualifications are provided below, focusing on building scalable ML solutions for ads creative understanding, generation, and optimization within TikTok's advertising ecosystem.

Responsibilities

Utilize algorithms to achieve a comprehensive understanding of advertisers, creators and creatives to improve the precision of match-making.

Conduct online modeling on billion-level commercial traffic, optimizing the distribution strategy of creatives in recommendation system and ads system.

Develop a scientific allocation strategy for both natural and ad traffic, aimed at increasing the short-term and long-term value for both advertisers and creators.

Qualifications

Bachelor7s degree or above, majoring in Computer Science or related fields.

3+ years of relevant development experience and demonstrated knowledge of machine learning (RecSys / NLP / CV / GE), and experience in recommendation systems, computational advertising or operational planning algorithms.

Solid foundation in data structures and algorithms, proficient in Python / C++ / Golang languages.

Passion for new technologies and proven capability in analysis and problem-solving.

Good team player with strong communication skills; experience in project management; strong perseverance and courage to help the business to a higher level.

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 e 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

For Pay Transparency : Compensation Description (Annually)

The base salary range for this position in the selected city is $145000 - $250000 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

Associate

Employment type

Full-time

Job function

Engineering and Information Technology

Software Development

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Machine Learning Engineer • San Jose, CA, United States

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