Responsibilitie
The Data-AML-Engine Orchestration team builds large-scale machine learning infrastructure that powers online model serving across ByteDance products, including TikTok. We develop the orchestration, scheduling, and resource management systems that connect heterogeneous compute infrastructure with production ML workloads. You will work on systems that directly affect GPU utilization, serving latency and availability, infrastructure reliability, and MLE productivity. Depending on your background and interests, you may focus on one or more of the following areas. We are looking for talented individuals to join our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Successful candidates must be able to commit to an onboarding date by the end of the year. Please state your availability and graduation date clearly in your resume. Responsibilities: 1. Design and build foundational orchestration capabilities for machine learning platforms, including Kubernetes Operators, container runtimes, and lifecycle management for jobs, services, and stateful workloads. 2. Build multi-tenant resource and quota systems that support priorities, preemption, fair sharing, elasticity, and cross-cluster scheduling. Improve GPU utilization and cost efficiency through resource pooling and FinOps. 3. Build lifecycle orchestration for online model serving, including model and image distribution, deployment, upgrades, rollback, autoscaling, multi-cluster operation, and disaster recovery. 4. Build serving orchestration and traffic management capabilities for disaggregated serving clusters, including topology-aware scheduling, KV Cache affinity, intelligent request routing, and QoS/SLA management.
Qualification
Minimum Qualifications: - Individuals who are completing or have recently completed a PhD's degree in Computer Science, Software Engineering, Artificial Intelligence, or a related technical field. - Proficiency in at least one of Go, C++, or Python, with a solid foundation in data structures, algorithms, and software engineering principles. - Familiarity with Linux and a foundational understanding of operating systems, computer networks, concurrent programming, and distributed systems. - Strong hands-on and exploratory abilities, with a willingness to investigate systems through source code, metrics, logs, profiling, and experiments. - A systematic and quantitative approach to problem solving, with the ability to define measurements, test hypotheses, and validate system improvements. - Demonstrated ownership and collaboration through coursework, research, internships, open-source contributions, or other engineering projects. Preferred Qualifications: - Experience with Kubernetes, container runtimes, resource scheduling, quota management, multi-tenant systems, or FinOps. - Contributions to open-source infrastructure projects such as Kubernetes, Volcano, Koordinator, or OpenKruise. - Experience with model serving systems such as vLLM, SGLang, Triton, KServe, or Ray Serve, or an understanding of KV Cache, Continuous Batching, Prefill/Decode disaggregation, or model parallelism. - Experience with online services, gateways, traffic management, autoscaling, performance optimization, or highly available distributed systems. - Experience with GPU/NPU programming, heterogeneous resource scheduling, model distribution, or inference performance analysis.
Job Information
【For Pay Transparency】Compensation Description (Annually)
The base salary range for this position in the selected city is $162000 - $316800 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:
1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
3. Exercising sound judgment.
