Machine Learning Engineer (Multiple Positions)

Description

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
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, optimize consumption, and address critical product challenges.
Contribute throughout the whole life cycle of a machine learning model in production, including data collection and analysis, feature extraction, model training, evaluation, deployment, and refresh and maintenance.
Optimize algorithms and infrastructure to improve recommendation performance.
Work with cross-functional teams to design product strategies and build solutions to grow in important markets.

Requirements

Qualifications
Must have a Master's degree or foreign equivalent degree in Computer Science, Engineering (any), Information Technology, Machine Learning, Data Science, Analytics (any), or a related quantitative field, and 1 year of related work experience; OR a Bachelor's degree or foreign equivalent degree in Computer Science, Engineering (any), Information Technology, Machine
Learning, Data Science, Analytics (any), 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:
Designing, developing, and implementing advanced machine learning or deep learning models;
Coding using Python or C++;
Utilizing Big Data Framework Hadoop or Flink; and
Using SQL and Spark to perform large-scale dataset analysis, including user behavior, probability distribution, and time series analyses.

Type: Full time, 40 hours/week
Location: San Jose, CA
Salary Range: $174304 - $316800 per year

To Apply, click the apply button below. Contact [email protected] 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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