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Machine Learning Engineer Graduate (E-Commerce Risk Control)- 2025 Start (Phd)
Machine Learning Engineer Graduate (E-Commerce Risk Control)- 2025 Start (Phd)TikTok • San Jose, CA, United States
Machine Learning Engineer Graduate (E-Commerce Risk Control)- 2025 Start (Phd)

Machine Learning Engineer Graduate (E-Commerce Risk Control)- 2025 Start (Phd)

TikTok • San Jose, CA, United States
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Machine Learning Engineer Graduate (E-Commerce Risk Control)- 2025 Start (PhD)

Join to apply for the Machine Learning Engineer Graduate (E-Commerce Risk Control)- 2025 Start (PhD) role at TikTok

Machine Learning Engineer Graduate (E-Commerce Risk Control)- 2025 Start (PhD)

Join to apply for the Machine Learning Engineer Graduate (E-Commerce Risk Control)- 2025 Start (PhD) role at TikTok

Responsibilities

Team Introduction :

The E-Commerce Risk Control (ECRC) Team's Mission Is :

  • To protect TikTok e-commerce users, including and beyond buyer, seller, creator;
  • To make Tiktok e-commerce the safest and most trusted place worldwide to transact online by securing the integrity of the e-commerce ecosystem and providing a safe shopping experience on the platform;
  • Through building software systems, risk models and operational processes, as well as collaborating with many cross-functional teams and stakeholders.

The ECRC team works to prevent and detect any risk attempts in Tiktok e-commerce platforms (e.g. TikTok Shop) and to mitigate the negative impact on our customers and Selling Partners (Sps), covering multiple classical and novel business risk areas such as account integrity, incentive abuse, malicious activities, brushing, click-farm, information leakage etc.

We achieve our mission by a) developing state-of-art Machine Learning (ML) solutions to prevent customers, SPs, and Tiktok from being impacted by bad actors’ actions and practices to gain unfair business advantages; b) empowering Tiktok teams, both internal to GNE and external, to reduce risk attempts by utilizing our mechanisms.

We are looking for talented individuals to join our team in 2025. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTok.

Applications will be reviewed on a rolling basis. We encourage you to apply early.

Candidates can apply for a maximum of TWO positions and will be considered for jobs in the order you applied for. The application limit is applicable to TikTok and its affiliates globally.

Responsibilities :

  • Develop and implement innovative machine learning algorithms to manage business risks in TikTok's products and platforms.
  • Prototype and explore novel solutions, conduct experiments to validate hypotheses, and provide insights to Product and Tech teams.
  • Collaborate with multidisciplinary teams to enhance current automation processes.
  • Build efficient data querying infrastructure for real-time and offline analysis. Identify opportunities to strengthen risk defense solutions.
  • Define risk control metrics and promote data-driven practices. Align teams and stakeholders on numeric goals for risk control.
  • Document technical processes and effectively communicate results through writing, visualizations, and presentations.
  • Qualifications

    Minimum Qualifications :

  • Master's or PhD degree in Computer Science, Engineering, Operations Research, or related fields.
  • Current or recent graduate with a background in Computer Science, Computer Engineering, or a related technical discipline
  • Proficiency in modern machine learning theories and applications, including ensemble trees, deep neural networks, transfer / multi-task learning, reinforcement learning, graph theory, and unsupervised learning.
  • Experience with Python, SQL / Hive, and Hadoop
  • Strong understanding of data structures and algorithms, with excellent problem-solving ability
  • Detail oriented, effective time management, and strong analytical skills
  • Preferred Qualifications :

  • Demonstrated software engineering experience from previous internship, work experience, coding competitions, or publications
  • Internship experience or research experience, especially in e-commerce, risk control domian
  • Curiosity towards new technologies and entrepreneurship
  • High levels of creativity and quick problem-solving capabilities
  • 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.

    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.
  • 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

    Seniority level

    Seniority level

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    Employment type

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    Full-time

    Job function

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    Engineering and Information Technology

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    Entertainment Providers

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