Machine Learning Engineer Graduate (E-Commerce Risk Control) - 2024 Start (PHD)

Seattle, Washington


Employer: TikTok
Industry: R&D
Salary: Competitive
Job type: Full-Time

Responsibilities

TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, Mountain View, New York, Austin, London, Paris, Berlin, Dubai, Singapore, Jakarta, São Paulo, Seoul and Tokyo.

Why Join US
At TikTok, our people are humble, intelligent, compassionate and creative. We create to inspire - for you, for us, and for more than 1 billion users on our platform. We lead with curiosity and aim for the highest, never shying away from taking calculated risks and embracing ambiguity as it comes. Here, the opportunities are limitless for those who dare to pursue bold ideas that exist just beyond the boundary of possibility. Join us and make impact happen with a career at TikTok.

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, Fanno) 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 2024. 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.

Successful candidates must be able to commit to one of the following start dates below:
1. January 15, 2024
2. February 5, 2024
3. March 4, 2024
4. May 20, 2024
5. June 10, 2024
6. July 15, 2024
7. August 12, 2024
We will prioritize candidates who are able to commit to these start dates. Please state your availability and graduation date clearly in your resume.

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

- PhD degree in Computer Science, Engineering, Operations Research, or related fields.
- Graduate with a background in Software Development, 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
- Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.

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

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 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 dataecommerce.accommodations@tiktok.com.

By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy.

Created: 2024-04-16
Reference: A198167
Country: United States
State: Washington
City: Seattle
ZIP: 98109


Similar jobs: