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# Production Engineer - Applied Machine Learning

- **Company:** BYTEDANCE INC.
- **Location:** San Jose, CA, United States
- **Salary:** $162,000
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, C++ (Programming Language), Computer Clusters, Continuous Integration, Linux, Disaster Recovery, Distributed Computing Environment, Distributed Data Store, Python (Programming Language), Machine Learning, NoSQL, Open Source Technology, Performance Tuning, Reliability Engineering, Software Engineering, Scripting, System Availability, Kubernetes, Information Technology
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25304_b9832f724633815de6229b716b0e1761

## About the Role

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

## Description

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, * 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., 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.