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TikTok

Machine Learning Engineer (TikTok Recommendation) - 2024 start (BS/MS)

TikTok, San Jose, California, United States, 95199


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.

About the TeamThe Recommendation algorithm team plays a central role in the company, driving critical product decisions and platform growth. The team is made up of machine learning researchers and engineers, who support and innovate on production recommendation models and drive product impact. The team is dynamic, fast-paced, collaborative, and impact-driven.

Successful candidates must be able to commit to one of the following start dates:January 15, 2024February 5, 2024March 4, 2024May 20, 2024June 17, 2024July 15, 2024August 12, 2024September 3, 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' jobs globally.

Responsibilities - What You'll DoBuild industry-leading recommendation systems, improving user experience, content ecosystem, and platform security;Deliver end-to-end machine learning solutions to address critical product challenges;Own the full stack machine learning system and optimize algorithms and infrastructure to improve recommendation performance;Work with cross-functional teams to design product strategies and build solutions to grow TikTok in important markets.

QualificationsBachelor's degree or above in computer science or a related major;Strong software development experience with C++, Python, or other programming languages;Experience in one or more of the following areas: applied machine learning, machine learning infrastructure, large-scale recommendation systems, market-facing machine learning products;Strong communication and teamwork skills;Passion for techniques and solving challenging problems.

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. 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 gprd.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.

Job Information:Compensation Description (annually)The base salary range for this position in the selected city is $102,400 - $163,200 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.Our company benefits are designed to convey company culture and values, to create an efficient and inspiring work environment, and to support our employees to give their best in both work and life. We offer the following benefits to eligible employees:100% premium coverage for employee medical insurance, approximately 75% premium coverage for dependents, and a Health Savings Account (HSA) with a company match.Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life, and AD&D insurance plans.10 paid holidays per year plus 17 days of Paid Personal Time Off (PPTO) (prorated upon hire and increased by tenure) and 10 paid sick days per year as well as 12 weeks of paid Parental leave and 8 weeks of paid Supplemental Disability.Mental and emotional health benefits through our EAP and Lyra.A 401K company match, gym, and cellphone service reimbursements.The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

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