TikTok is hiring: Machine Learning Engineer, TikTok Content Recommendation (Ecos

Responsibilities

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us
Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day. To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve. Join us.

About the Team
Our team is responsible for designing and optimizing TikTok's content distribution and author growth mechanism to ensure the sustainable development of TikTok's content ecosystem. Our work involves optimizing large-scale recommendation algorithms, solving optimization problems with complex constraints, designing and implementing recommendation architectures for various scenarios, and conducting complex and in-depth analyses of product data. Here, you can drive deeper into the improvement and optimization of machine learning/deep learning algorithms, including but not limited to Mathematics, CV/NLP technology, multi-task learning, multi-modal technology, meta-learning, reinforcement learning, causal inference, metric learning, graph neural networks, active learning, life long learning, etc.

Responsibilities - What You'II Do

1. Build industry-leading recommendation system, improving user experience, the content ecosystem and platform security;
2. Deliver end-to-end machine learning solution to address critical product challenges;
3. Own the full stack machine learning system and optimize algorithms and infrastructure to improve recommendation performance;
4. Work with cross functional teams to design product strategies and build solutions to grow TikTok in important markets.

Qualifications
Minimum Qualifications

1. Bachelor degree or above in computer science or a related major, with 2+ years of related work experience;
2. Strong software development experience with C++, Python or other programming language;
3. Experience in one or more of the following areas: applied machine learning, machine learning infrastructure, large-scale recommendation system, market-facing machine learning product;
4. Strong communication and teamwork skills;
5. Passion about techniques and solving challenging problems.

Job Information:
Compensation Description (annually)

The base salary range for this position in the selected city is $145000 - $250000 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.
• 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.
• 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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