Machine Learning Engineer Graduate (Responsible Recommendation) - 2024 Start (PhD)

Responsibilities

Apply fast, check the full description by scrolling below to find out the full requirements for this role.

TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy.

About the Team

The 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.

Responsibilities

• Build industry-leading recommendation system, improving user experience, content ecosystem, and platform security;
• Deliver end-to-end machine learning solution 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.

Qualifications

• PhD degree 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 about 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. 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 [email protected].

Job Information :

Compensation Description (annually)

The base salary range for this position in the selected city is $126,000 - $221,760 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 :

We cover 100% premium coverage for employee medical insurance, approximately 75% premium coverage for dependents and offer a Health Savings Account (HSA) with a company match.

As well as Dental, Vision, Short / Long term Disability, Basic Life, Voluntary Life, and AD&D insurance plans. In addition to Flexible Spending Account (FSA) Options like Health Care, Limited Purpose, and Dependent Care.

Our time off and leave plans are : 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.

We also provide generous benefits like 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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