Tech Lead, AML Inference

Overview

Responsibilitie
About the Team The mission of our Applied Machine Learning (AML) team is to push the next-generation AI infrastructure and recommendation platform for ads ranking, search ranking, live streaming, and e-commerce. We drive substantial impact across Byte Dance's core businesses by building world-class ML platforms and systems. We are seeking an Tech Lead, AML Inference to oversee the development and execution of Byte Dance's inference infrastructure.

This role will lead and mentor a team of Machine Learning Engineers focused on inference, ensuring reliability, scalability, and performance across large-scale distributed systems. The Inference Lead will collaborate closely with research, product, and platform teams to design and deliver cutting-edge solutions that power critical ranking and recommendation services.

• Lead and mentor a team of inference-focused Machine Learning Engineers, setting technical direction and ensuring best practices.
• Drive the design and evolution of distributed inference infrastructure to support feeds, ads, search, and other core ranking models.
• Oversee the development of monitoring, observability, and management tools to ensure reliability and scalability of online inference services.
• Identify and resolve system inefficiencies, performance bottlenecks, and reliability issues, ensuring optimized end-to-end performance.
• Partner with research and product teams to translate requirements into robust and efficient inference solutions.
• Stay at the forefront of advancements in inference frameworks, ML hardware acceleration, and distributed systems, incorporating innovations where impactful.

Minimum Qualifications

• Bachelor's degree or above in Computer Science, Electrical Engineering, or related field.
• 5+ years of experience in developing and deploying large-scale, distributed systems, with at least 5 years in a leadership or technical lead role.
• Strong programming skills in languages such as C++, Python, or Go.
• Deep understanding of inference frameworks and ML system deployment (e.g., Tensor Flow, PyTorch, Tensor
  
  RT, JAX, MXNet).
• Proven experience optimizing performance for large-scale machine learning systems, including hardware-software co-design, GPU/RDMA acceleration, or HPC techniques.
• Excellent communication and collaboration skills; ability to work across research, engineering, and product teams.

Preferred Qualifications

• Experience leading teams working on high-throughput, low-latency ML serving systems.
• Contributions to open-source ML or systems projects.
• Familiarity with container orchestration, service mesh, or cloud-native ML infrastructure.
• Experience collaborating with and leading global, cross-functional teams across different time zones.

[For Pay Transparency]Compensation Description (Annually)

The base salary range for this position in the selected city is $208800 - $616000 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.

For Los Angeles County (unincorporated) Candidates:

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:

About U

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…