Machine Learning Engineer-Model Serving Infrastructure

Machine Learning Engineer-Model Serving Infrastructure

Machine Learning Engineer-Model Serving Infrastructure

2 weeks ago Be among the first 25 applicants

Responsibilities
The mission of our AML team is to push the next-generation AI infrastructure and recommendation platform for the ads ranking, search ranking, live & ecom ranking in our company. We also drive substantial impact on core businesses of the company. Currently, we are looking for Machine Learning Engineer - Model Serving Infrastructure to join our team to support and advance that mission.

Responsibilities:
- Responsible for the design and implementation of distributed inference infrastructure for feeds, ads and search ranking models.
- Responsible for building monitoring/managing tools to oversee the reliability and scalability of online inference servers
- Responsible for triaging system inefficiency and bottlenecks and improving system performance
- Responsible for building tools to analyze bottlenecks and sources of instability and then design and implement solutions
- Responsible for collaboration with product teams and providing general solutions to meet their requirements

Qualifications

Minimum Qualifications:

- At least 5 years of experience in developing and deploying large-scale systems.
- Experience contributing to an open sourced machine learning framework (tensor flow / jax / pytorch / TorchScript / mxnet / tensorrt).
- Strong background in one of the following fields:
Hardware-Software Co-Design, High Performance Computing, ML Hardware Acceleration (e.g., GPU/RDMA) or ML for Systems.

Preferred Qualifications:

- Proficient in C/C++/CUDA, and have solid programming skills.
- Familiar with deep learning serving frameworks (Tensor Flow Serving/TorchScript).
- Experience in GPU performance optimization
- Ability to work independently and complete projects from beginning to end and in a timely manner.
- Good communication and teamwork skills to clearly communicate technical concepts with other teammates.

About Us
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 Byte Dance
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.
Diversity & Inclusion
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.

Reasonable Accommodation
Byte Dance 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

Job Information
【For Pay Transparency】Compensation Description (Annually)
The base salary range for this position in the selected city is $$annually.
Compensation may vary outside of this range depending on a number of factors, including a candidate’s…