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Production Engineer - Applied Machine Learning

ByteDance · San Jose, CA · 3 days ago
On-siteManagement$162k–$388k/yrFull-time

About the role

We are looking for Production Engineers to join our AML (Applied Machine Learning) team. Our mission is to push next-generation recommendation-based algorithms and platforms while driving substantial impact for the company’s core businesses.

Responsibilities

  • System Stability & Production Management: Ensure the production management and stability of AML training, inference, and storage systems, covering core pipelines such as scheduling, 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 including 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 R&D efficiency.

Qualifications

Minimum 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 Qualifications:

  • 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 products including TikTok, Lemon8, CapCut, Pico, Toutiao, Douyin, and Xigua, ByteDance makes it easier and more fun for people to connect with, consume, and create content.

Why Join ByteDance

ByteDance fosters an environment where creativity and innovation thrive. Our global, diverse teams create value for communities, inspire creativity, and enrich life. We lead with curiosity, humility, and a desire to make an impact in a rapidly growing tech company. By embracing an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, the company, and our users.

Diversity & Inclusion

ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our mission to inspire creativity and enrich life is supported by celebrating diverse voices and fostering an environment that reflects the communities we reach.

Pay

The base salary range for this position is $162,000 - $387,600 annually. Compensation may vary based on qualifications, skills, experience, and location. Base pay is part of a total package that may include 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, and 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).

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