Research Scientist - ByteBrain - Global Frontier Tech Recruitment Program - 2027 Start (PhD)

ByteDance

San Jose (CA)

On-site

USD 218,000 - 388,000

Full time

14 days+

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Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

401(k) match

Parental leave

Disability coverage

Life insurance

Wellbeing program

Holidays & PTO

Job summary

ByteDance's ByteBrain team seeks a PhD holder to design AI/ML and optimization algorithms for massive infrastructure systems. You will deploy and scale these algorithms in production, exploring innovative research directions and translating findings into practical engineering solutions.

You will collaborate across teams to advance AI for infrastructure, publish in top venues, and contribute to the evolution of AI-native infrastructure across ByteDance's global platforms.

Qualifications

PhD or near completion with strong research background in AI/ML, OR, or related fields.
Proven track record of publications in top-tier venues.
Strong coding abilities and ability to bridge research and production.

Responsibilities

Design and develop AI, ML, and optimization algorithms to improve efficiency and performance of large-scale systems.
Drive deployment, scaling, and continuous improvement of algorithms in production environments.
Identify optimization opportunities from real infrastructure scenarios and translate into solutions.
Conduct cutting-edge research and publish papers in top conferences/journals.

Skills

AI/ML

Ops Research

Publications

Coding

Communication

Education

PhD in Computer Science

Job description

Responsibilities

ByteBrain is ByteDance's AI for Infrastructure (AI4Infra) platform, dedicated to improving the efficiency, reliability, and intelligence of large-scale infrastructure systems through AI and machine learning. ByteBrain supports a wide range of infrastructure domains, including AI data center supply chains, AIOps, Operations Research and AgentOps, powering infrastructure optimization at massive scale.

Responsibilities

Why This Role Is Unique

This role sits at the intersection of: Operations Research × AIOps × AI for Infra

You will have the opportunity to solve some of the most challenging optimization problems behind large-scale AI datacenters while pioneering the next generation of AI-powered decision-making systems, where LLMs, and optimization algorithms work together to improve efficiency, resource utilization, and operational intelligence across ByteDance's global infrastructure.

Responsibilities

Design and develop AI, machine learning, and optimization algorithms to improve the efficiency, reliability, and performance of large-scale infrastructure systems and AI supply chain. Areas may include AIOps, operations research, software engineering, AgentOps, and system optimization.
Drive the deployment, scaling, and continuous improvement of algorithms in production environments, supporting large-scale services.
Identify optimization opportunities and emerging challenges from real-world infrastructure scenarios, translating them into impactful research and engineering solutions.
Conduct cutting-edge research and publish high-quality papers in top-tier conferences and journals.

Topic Content

With the large-scale adoption of LLMs and AI agents, traditional cloud-native infrastructure can no longer meet the ultra-high performance and elasticity requirements of AI workloads. This topic conducts systematic research across the entire AI infrastructure stack:

Network and Observability: Research intelligent fault localization and root cause analysis for large-scale AI clusters, combined with intelligent tuning of time-series databases to improve cluster stability.
Storage Systems: Develop serverless high-performance elastic file systems and storage acceleration architectures specifically for AI scenarios, explore hardware-software co-optimization for DPU, and overcome AI storage performance bottlenecks.
Data Center Power Scheduling: Research GPU/CPU/MEM heterogeneous collaborative scheduling technologies, build a heterogeneous power orchestration system for AI agents, and address scheduling challenges including heterogenous workloads and state dependencies.
Vector Retrieval: Optimize core vector retrieval technologies for LLM-powered applications, building a cloud-native distributed vector index engine to meet ultra-large-scale vector retrieval demands with low latency and low cost.
Intelligence and Agent Architecture: Explore automatic infrastructure optimization based on AI Agent workflows, build a self-evolvable business agent framework, and enable full-stack intelligent optimization through AI for Infra.

This topic aims to build a next-generation AI-native infrastructure to support the deployment of LLMs and AI agents, improve resource utilization, reduce costs, support elastic scaling, and drive the technological evolution of AI infrastructure.

Qualifications

Minimum Qualifications

Individuals who are completing or have recently completed a PhD degree in Computer Science or a related discipline.
Proven research track record with multiple publications in top-tier conferences or journals related to AI, machine learning, operations research, systems, or related fields.
Deep expertise in AI, machine learning, and/or operations research, with hands-on experience in large-scale data analysis and algorithm development.
Strong coding, implementation, and problem-solving skills, with the ability to bridge research and production systems.
Excellent communication and cross-functional collaboration skills.

Preferred Qualifications

Industry experience applying AI and optimization techniques to real-world infrastructure challenges, such as:

AI data center supply chain optimization
AI Ops and intelligent operations
Software engineering productivity optimization
Operations research and resource scheduling
System tuning and performance optimization
Large-scale infrastructure management and automation

Job Information

【For Pay Transparency】Compensation Description (Annually)

The base salary range for this position in the selected city is $218400 - $387600 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:

Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
Exercising sound judgment.

About Us

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Lemon8, CapCut and Pico as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.

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

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