Machine Learning Engineer, University Graduate

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, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, 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

Our TikTok team is responsible for developing state-of-the-art machine learning models and strategies to improve user consumption experience, inspire creativity, build a fair and flourishing ecosystem.

We are looking for talented individuals to join our team in 2023. 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 16, 2023

2. February 6, 2023

3. March 6, 2023

4. May 22, 2023

5. June 12, 2023

6. July 17, 2023

7. August 14, 2023

We will prioritize candidates who are able to commit to these start dates. Please state your availability and graduation date clearly in your resume.

Application deadline: February 15th, 2023

Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

Technical Assessment

Candidates who pass resume evaluation will be invited to participate in TikTok's technical online assessment in HackerRank.

Responsibilities

As a University Graduate Machine Learning Engineer, you'll have the chance to work with our clients and teams to address key business problems and identify areas of growth for the company. With your education and experience, you will be able to make a real-world impact from day one.

Qualifications

• Final year or recent graduate with a background in Computer Science or equivalent majors

• Good understanding of data structures and algorithms.

• Solid knowledge in one of the following areas: machine learning, deep learning, data mining, large-scale systems.

• Experience in Python, C++, Java, Golang, or other programming languages.

Preferred Qualifications:

• Demonstrated software engineering and machine learning experience from previous internships, work experience, coding competitions, or publications.

• 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 during our recruitment process. If you need assistance or an accommodation, please reach out to us at Accommodations-AMS@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.