Job
Machine Learning Engineer Graduate (E-commerce Governance Algorithms) - 2024 Start (MS/Phd)
TikTok
•
Sep 27
💼 Graduate Job
San Jose
AI generated summary
- The ideal candidate for this Machine Learning Engineer Graduate position at TikTok should have a Master's or PhD degree in Computer Science or a related technical field, with a background in Software Development or a related discipline. They should have a keen interest or understanding in machine learning, NLP, or computer vision, along with proficiency in programming languages such as C++, Python, Go, or Java. Additionally, they should possess excellent communication, teamwork, and a sense of responsibility. International work authorization is also required.
- The Machine Learning Engineer will design risk detection algorithms for content, products, sellers, and creators, collaborating with various teams to shape and implement initiatives from an engineering perspective.
Description
- Governance and Experience team of e-commerce are responsible for ensuring the safety and trustworth of the marketplace for not only our users, but also sellers and creators. We value our users' satisfaction by working on policies, rules and systems to ensure the quality. We are looking for an algorithm technical manager who is obsessed with customer experience and passionate about building systems to detect various risks that can sabotage platform trust.
- 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.
Requirements
- Master’s, or PhD degree in Computer Science or a related technical field. Recent graduates are highly encouraged to apply!
- Graduate with a background in Software Development, Computer Science, Computer Engineering, or a related technical discipline;
- Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment.
- An understanding or keen interest in machine learning, NLP, or computer vision.
- Familiarity with programming languages such as C++, Python, Go, or Java.
- Preferred Qualifications:
- Interest or experience in anti-fraud, anti-spam, platform-integrity, or similar fields would be a cherry on top.
- A profound sense of responsibility, coupled with exceptional communication and teamwork skills
Education requirements
Masters
PhD
Area of Responsibilities
Software Engineering
Responsibilities
- Direct Impact: Play a pivotal role in designing algorithms that detect and mitigate risks across content, products, sellers, and creators.
- Collaborative Efforts: Work hand in hand with strategy, product management, policy, and operations teams to shape products and initiatives from an engineering lens.
Details
Work type
Full time
Work mode
office
Location
San Jose