(General Hire) Machine Learning Engineer - Global TikTok Video Recommendation Jo
Tik Tok, San Jose, CA, United States, 95199
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 The TikTok Video Recommendation Global Algorithm team plays a central role in the company, responsible for the personalized recommendation algorithm for Global (Non-US) users, driving critical product decisions and platform growth. The team is made up of global machine learning researchers and engineers, who support and innovate in deep learning, production recommendation models, and large models to continuously transform and enhance the TikTok user experience and content ecosystem. The team is fast-paced, collaborative, and impact-driven. We have teams dedicated to working on core recommendations, including User Growth, Lemon8, Social, and Content Ecosystem Team. In addition, we also explore Foundation Model Applications using cutting-edge technology. We're looking for Machine Learning Engineers to join the team. By participating in the General Hire, you will have the opportunity to communicate with teams in various business lines and choose the team you're most interested in. Responsibilities: - Build 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 global markets. Qualifications Minimum Qualifications: - BS degree or equivalent degree with a background in computer science, machine learning, or similar fields. - At least one year of experience in one or more of the following areas: applied machine learning, machine learning infrastructure, large-scale recommendation systems, market-facing machine learning products; - Proficient in C/C++, Python, and have a deep understanding of data structures and algorithm design. - Solid knowledge and experience with at least one popular deep learning framework (e.g., PyTorch, TensorFlow). - Experience with development tools (e.g. Git, Docker, JIRA, etc.) - Good written and verbal communication skills. Preferred Qualifications: - Experience in one or more of the following areas: applied machine learning, machine learning infrastructure, large-scale recommendation systems, market-facing machine learning products; - Deep knowledge and practical experience in the following fields: deep machine learning models and large-scale recommendation systems. - Hands-on experience with data preprocessing, feature engineering, and exploratory data analysis. - 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. 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 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 this link . Job Information 【For Pay Transparency】Compensation Description (Annually) The base salary range for this position in the selected city is $145,000 - $250,000 annually. Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies, 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. Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year, and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure). The Company reserves the right to modify or change these benefits programs at any time, with or without notice. Seniority level Mid-Senior level Employment type Full-time Job function Engineering and Information Technology Industries Technology, Information, and Internet #J-18808-Ljbffr