Machine Learning Engineer - Inference at ByteDance
San Jose, California, USA -
Full Time


Start Date

Immediate

Expiry Date

13 Jun, 25

Salary

585000.0

Posted On

14 Mar, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Large Scale Systems, Ml

Industry

Information Technology/IT

Description

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 - Inference to join our team to support and advance that mission.

Qualifications

  • Extensive experience in developing and deploying large-scale systems.
  • Experience contributing to an open sourced machine learning framework (tensorflow / 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
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

  • Extensive experience in developing and deploying large-scale systems.
  • Experience contributing to an open sourced machine learning framework (tensorflow / 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.

Job Information
【For Pay Transparency】Compensation Description (Annually)
The base salary range for this position in the selected city is $435000 - $585000 annually.
Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.
Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).
The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

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