Lead Machine Learning Engineer (Multiple Positions)

About Byte Dance:

Founded in 2012, Byte Dance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including Tik Tok, Lemon8, Cap Cut and Pico as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, Byte Dance has made it easier and more fun for people to connect with, consume, and create content.

Why Join Us:

Inspiring creativity is at the core of Byte Dance's mission. Our innovative products are 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 enrich life - a mission we work towards every day.
As Byte Dancers, 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. 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:

Drive the building of industry-leading systems, and improve user experience, content ecosystem and platform security.
Build machine learning (ML) models and implement ML-based strategies to improve system infrastructure.
Lead and conduct code reviews to ensure delivery of end-to-end ML solutions.
Own the full stack ML system and optimize algorithms and infrastructure to improve recommendation performance.
Build new pipelines for ML model training or iteration.
Partner with cross functional teams to design product strategies and features and build solutions to support platform’s growth.
Mentor junior-level team members.

Requirements:

Qualifications:

Must have a Master's degree or foreign equivalent degree in Computer Science, Engineering (any), Machine Learning, Data Science, Mathematics, or a related field, and 3 years of related work experience; OR a Bachelor's degree or foreign equivalent degree in Computer Science, Engineering (any), Machine Learning, Data Science, Mathematics, or a related field, and 5 years of post-bachelor's, progressive related work experience.

Of the required experience, must have 3 years of experience in each of the following:
Coding using Python or C++;
Optimizing, training, and deploying machine learning and deep learning models using Py Torch or Tensor Flow;
Developing code and identifying issues in a 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: $275850 - $450000 per year

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

Byte Dance 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 Byte Dance, our mission is to inspire creativity and enrich life. 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.

ByteDance 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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