Senior Production Engineer - Applied Machine Learning

Senior Production Engineer - Applied Machine LearningLocation: San JoseTeam: TechnologyEmployment Type: RegularJob Code: TWM2ResponsibilitiesSystem Stability & Production Management : Responsible for production management and stability assurance of AML training, inference, and storage systems, including 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 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 R&D efficiency.QualificationsMinimum Qualification(s)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 ability to drive 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.Job InformationThe base salary range for this position in San Jose is $212,800 - $450,000 annually. Compensation may vary outside of this range based on qualifications, skills, competencies, and experience. The role may be eligible for additional discretionary bonuses, incentives, and restricted stock units.Equal Opportunity EmployerQualified 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;Exercising sound judgment.#J-18808-Ljbffr