Machine Learning Engineer (Multiple Positions) Full-time

Responsibilities

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 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 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
Develop highly scalable classifiers, tools, statistical models, and/or algorithms by leveraging cutting-edge machine learning (ML) and data mining technologies to improve user experience and optimize consumption of our content/products on the platform.
Collaborate with strategy team, product managers, policy team, and operations team to help define products and drive initiatives from engineering viewpoints.
Design and implement tools to analyze the ML model’s performance and optimize performance of ML system.
Innovate on optimizing content consumption and user experience through personalization.
Work with cross functional teams and product stakeholders to deliver system and product insights through analytics.

Qualifications

Qualifications
Must have a Master’s degree in Computer Science, Engineering (any), Information Technology, Machine Learning, Data Science, Data Analytics, Statistics, Mathematics, or a related quantitative field, and 1 year of related work experience; OR a Bachelor’s degree in Computer Science, Engineering (any), Information Technology, Machine Learning, Data Science, Data Analytics, Statistics, Mathematics, or a related quantitative field, and 3 years of related work experience.

Of the required experience, must have 1 year of experience in each of the following:
Coding using Python or C++;
Optimizing, training, and deploying machine learning and deep learning models using PyTorch or TensorFlow;
Developing code and identifying issues in Linux environment;
Developing and deploying large-scale machine learning systems; and Utilizing Big data framework Spark, Hadoop, or Flink.

Type: Full time, 40 hours/week
Location: San Jose, CA
Salary Range: $148699-$250000 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 lpresumes@TikTok.com.

#LI-DNI

#IND-DNI