TikTok: Senior Machine Learning Engineer, Feed Quality

Job Responsibilities:

• Build industry-leading recommendation system, 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.

Description: TikTok is the leading destination for short-form mobile video. Their mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Mumbai, Singapore, Jakarta, Seoul, and Tokyo.

At TikTok, they value humility, intelligence, compassion, and creativity in their people. They lead with curiosity and aim for the highest, never shying away from taking calculated risks and embracing ambiguity as it comes. The opportunities are limitless for those who dare to pursue bold ideas that exist just beyond the boundary of possibility.

The Recommendation algorithm team at TikTok plays a central role in the company, driving critical product decisions and platform growth. The team is dynamic, fast-pacing, collaborative, and impact-driven.

Requirements:

• Bachelor’s degree in computer science or a related major, with 3+ years of related work experience.
• 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.

Location: San Jose

Benefits:

• The base salary range for this position in the selected city is $187,040 – $280,000 annually.
• Compensation may vary outside of this range depending on qualifications, skills, competencies, experience, and location.
• Eligibility for additional discretionary bonuses/incentives and restricted stock units.
• Comprehensive benefits including medical insurance, dental, vision, short/long-term disability, life insurance, FSA options, paid time off, parental leave, mental and emotional health benefits, 401K company match, gym and cellphone service reimbursements.

.https://careers.tiktok.com/position/7262835875599518010/detail?spread=5MWH5CQ