Senior Machine Learning Scientist, Recommendation (Multiple Positions)

About TikTok 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 we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us Inspiring creativity is at the core of TikTok s mission. Our innovative product is built to help people authentically express themselves, discover and connect - and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day. We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We re resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.

About the Team Our team plays a crucial role in ensuring the company's success. We seek people who are willing to learn and put in the effort to solve problems. Our challenges are not your regular day-to-day problems - you'll be part of a team that's developing new solutions to new challenges. It's working fast, at scale, and we're making a difference. We are looking for talents to join us on this exciting journey!

Responsibilities

• Advise on the engineering of video recommendation machine learning (ML) and deep learning algorithms.
• Deliver end-to-end ML solutions to address critical product challenges.
• Own the full-stack ML system and optimize algorithms and infrastructure to improve performance.
• Innovate on optimizing content consumption and user experience.
• Work with cross functional teams and product stakeholders to deliver system and product insights through analytics.
• Mentor junior-level team members. Qualifications Must have a Master's degree or foreign equivalent degree in Computer Science, Engineering (any), Machine Learning, Data Science, Mathematics, Statistics, or a related field, and 2 years of related work experience; OR a Bachelor's degree or foreign equivalent degree in Computer Science, Engineering (any), Machine Learning, Data Science, Mathematics, Statistics, or a related field, and 5 years of post-bachelor's, progressive related work experience.

Of the required experience, must have 2 years of experience in each of the following:

• Using data analysis tools SQL, PySpark, NumPy, or Pandas to handle large-scale datasets;
• Programming using Python and PyTorch to build large-scale learning systems;
• Developing data-driven prediction models using classic statistical methods, machine learning, neural network or deep learning;
• Preparing technical documentation, or publishing conference or journal papers; and
• Project management, including collaborating with cross-functional teams to design, develop, and implement data-driven business strategies.

Type: Full time, 40 hours/week Location: San Jose, CA Salary Range: $255757 - $387600 per year

To Apply, click the apply button below. Contact lpresumes@tiktok.com if you have difficulty submitting resume through the website.

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 https://tinyurl.com/RA-request

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