Research Scientist Graduate (ByteBrain) - 2027 Start (PhD)

About the Role

This role sits at the intersection of Operations Research, AIOps, and AI for Infrastructure. You will solve challenging optimization problems behind large-scale AI datacenters while pioneering next-generation 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.

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

• 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.

Requirements

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

Pay

The base salary range for this position is $162,000 - $316,800 annually. Compensation may vary outside of this range depending on qualifications, skills, competencies, experience, and location. This role may also be eligible for additional discretionary bonuses, incentives, and restricted stock units.

Benefits

• Day one access to medical, dental, and vision insurance
• 401(k) savings plan with company match
• Paid parental leave
• Short-term and long-term disability coverage
• Life insurance
• Wellbeing benefits
• 10 paid holidays per year
• 10 paid sick days per year
• 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure)

About Us

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

At ByteDance, we strive to do great things with great people. We lead with curiosity, humility, and a desire to make an impact in a rapidly growing tech company. By fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users.