Production Engineer - Applied Machine Learning

ByteDance; San Jose (CA); On-site; USD 162,000 - 388,000; Full time

Benefits offered by this job

Medical Insurance

Dental Insurance

Vision Insurance

401(k) Match

Parental Leave

Disability Insurance

Wellbeing Benefits

Paid Holidays

Paid Sick Days

Paid Personal Time

Job summary

ByteDance is seeking Production Engineers to join the AML team, advancing next-generation recommendation-based algorithms and platforms. You will support training, inference, and storage systems, ensuring stability and reliability across core pipelines, scheduling, orchestration, and distributed training.

The role requires Linux proficiency and skills in Python, Shell, Go, or C++, plus experience with Kubernetes, GPUs, and distributed storage.

Qualifications

• Bachelor's degree or above in Computer Science, Software Engineering, Artificial Intelligence, or related fields.
• Familiar with Linux and proficient in at least one of the following programming/scripting languages: Shell, Python, Go, or C++.
• Understanding of machine learning training/inference architectures, Kubernetes, GPU clusters, or distributed storage systems.
• Proven experience in online troubleshooting, performance analysis, and building automation platforms.
• Strong sense of responsibility, clear logical thinking, and the ability to drive the resolution of complex issues across cross-functional teams.

Responsibilities

• System Stability & Production Management: production management and stability assurance of AML training, inference, and storage systems.
• Reliability Engineering: build and maintain SLO/SLA, observability, alerting, on-call processes, fault diagnosis, auto-healing, disaster recovery, post-mmortems.
• Engineering Excellence: drive CI/CD, canary releases, auto-rollback, automated inspections, pre-flight checks, capacity forecasting, and elastic auto-scaling.
• Resource & Cost Management: oversee resource governance across GPU/CPU/storage/network, quota management, cost attribution, and performance tuning.

Skills

Linux

Shell

Python

Go

C++

Distributed systems

Education

BS in CS/SE/AI

Tools

Kubernetes

GPU clusters

Job description

Responsibilities

The mission of our AML team is to push next-generation recommendation-based algorithms and platform for the company. We also drive substantial impact for core businesses of the company. Currently we are looking for Production Engineers to join our team to support and advance that mission

Responsibilities

• System Stability & Production Management: Responsible for the production management and stability assurance of AML (Applied Machine Learning) training, inference, and storage systems. This covers core pipelines including scheduling and orchestration, K8s/GPU clusters, distributed training, online inference serving, and ParameterServer/NoSQL storage.
• Reliability Engineering: Build and maintain mechanisms for SLO/SLA, observability, alerting, On-call processes, fault diagnosis, auto-healing, disaster recovery, and incident reviews (post-mortems).
• Engineering Excellence: Drive engineering capabilities such as CI/CD, canary releases, auto-rollback, automated inspections, pre-flight checks, capacity forecasting, and elastic auto-scaling.
• Resource & Cost Management: Oversee resource governance across GPU/CPU/storage/network, including quota management, cost attribution, and performance tuning, to improve system availability, resource utilization, and overall R&D efficiency.

Qualifications

• Bachelor’s degree or above in Computer Science, Software Engineering, Artificial Intelligence, or related fields.
• Familiar with Linux and proficient in at least one of the following programming/scripting languages: Shell, Python, Go, or C++.
• Understanding of machine learning training/inference architectures, Kubernetes, GPU clusters, or distributed storage systems.
• Proven experience in online troubleshooting, performance analysis, and building automation platforms.
• Strong sense of responsibility, clear logical thinking, and the ability to drive the resolution of complex issues across cross-functional teams.

Preferred Qualification(s)

• Experience with large-scale training/inference/storage platforms, SLO governance, FinOps, NoSQL, or open-source infrastructure is highly preferred.

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

Job Information

【For Pay Transparency】Compensation Description (Annually)

The base salary range for this position in the selected city is $162000 - $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.