Responsibilities
About the Team The Seed Infrastructures team oversees the distributed training, reinforcement learning framework, high-performance inference, and heterogeneous hardware compilation technologies for AI foundation models. Responsibilities - Design, develop, and optimize large-scale LLM evaluation frameworks, owning both architecture and execution details - Build distributed evaluation execution on multi-host, multi-GPU clusters (Ray/Kubernetes), including scheduling, autoscaling, fault tolerance, and efficient resource utilization - Deeply understand and validate LLM inference pipelines, including inference correctness, model verification, and benchmarking - Cover the full model lifecycle from training → inference → evaluation, ensuring consistency and reliability across all stages - Implement efficient and scalable evaluation job orchestration, metric aggregation, and result management systems - Collaborate closely with research and engineering teams to standardize and automate new model evaluation processes
Qualifications
Minimum Qualifications - M.S. or Ph.D. in Computer Science, Machine Learning, or a related field - Proficient in Python, capable of independently developing and maintaining complex evaluation systems - Hands-on experience in designing and developing LLM evaluation frameworks (beyond task-level or agent-level evals) - Familiarity with LLM inference pipelines and evaluation methodologies, including correctness verification and benchmarking - Experience with distributed systems deployment or development (Ray, Kubernetes, multi-host, multi-GPU) - Strong understanding of the full model lifecycle, from training through inference to evaluation Preferred Qualifications - Experience in evaluation job orchestration, scalable evaluation executors, or metric aggregation frameworks - Knowledge of open-source evaluation suites such as HELM, LLM-as-a-judge, LM-eval-harness, or EvalPlus - Hands-on experience with post-training evaluations, including SFT or RLHF evaluation - Experience designing, optimizing, and automating large-scale AI systems - Strong software engineering skills, with the ability to deliver efficiently in a fast-paced research environment
Job Information
【For Pay Transparency】Compensation Description (Annually)
The base salary range for this position in the selected city is $198360 - $416100 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.
About Doubao (Seed)
Founded in 2023, the ByteDance Doubao (Seed) Team, is dedicated to pioneering advanced AI foundation models. Our goal is to lead in cutting-edge research and drive technological and societal advancements.
With a strong commitment to AI, our research areas span deep learning, reinforcement learning, Language, Vision, Audio, AI Infra and AI Safety. Our team has labs and research positions across China, Singapore, and the US.
Why Join ByteDance
Inspiring creativity is at the core of ByteDance'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 ByteDancers, 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
ByteDance 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 ByteDance, 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
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
