Designworks Talent LLC
Designworks Talent LLC
Designworks Talent LLC — қарқынды дамып келе жатқан стартаптар мен жаһандық кәсіпорындарға қызмет көрсететін рекрутинг және таланттарды басқару жөніндегі консалтингтік компания. 2009 жылы құрылған компания жылдамырақ әрі нысаналы түрде қызметкер жалдауды қолдау үшін тәжірибелі рекрутерлерді жасанды интеллект негізіндегі құралдармен ұштастырады. Оның қызметтері толық циклді іздеу, жобалық рекрутинг және сұраныс бойынша икемді модельдермен қатар, ауқымдалатын жалдау стратегиясын, рекрутинг операцияларын, кәсіпорын деңгейіндегі таланттарды тарту көшбасшылығын, деректерге негізделген кандидаттарды іздеуді және кандидат тәжірибесін қамтиды. Команданың тәсілі ұйымдардың қызметкер жалдау қажеттіліктері өзгерген сайын бейімделетін қолдау көрсетуге бағытталған.

Senior AI Training Infrastructure Engineer

Lead distributed GPU training infrastructure for large-scale AI models on a next-generation cloud platform. Improve reliability, efficiency, fault tolerance, and production readiness across training systems.

Сипаттама

  • Build and expand distributed training infrastructure for large AI models across extensive GPU clusters
  • Create and refine systems that improve training reliability, efficiency, and resource utilization
  • Develop fault-tolerant solutions for checkpointing, recovery, and large-scale training operations
  • Integrate AI models into production training pipelines alongside platform, orchestration, and performance engineering teams
  • Investigate and resolve problems affecting training throughput, stability, reliability, and cost efficiency
  • Develop tools and automation that enhance the experience of AI researchers and engineers
  • Define best practices for training infrastructure, operational workflows, and platform reliability
  • Help shape the AI infrastructure platform as an early member of the engineering team
  • Partner with infrastructure, orchestration, performance, and machine learning teams

Талаптар

  • Hands-on experience building and operating distributed training systems or large-scale machine learning infrastructure
  • Experience supporting large AI models, foundation models, post-training workflows, or comparable machine learning systems
  • Strong understanding of the reliability, scalability, and efficiency challenges of multi-node GPU training
  • Experience connecting training systems to production machine learning pipelines
  • Strong programming ability and experience working with complex distributed systems
  • Ability to take independent ownership of technically demanding projects
  • Comfort working with substantial ownership and limited process overhead
  • Preferred: Experience with PyTorch Distributed, DeepSpeed, Megatron-LM, Ray, or similar technologies
  • Preferred: Experience with supervised fine-tuning (SFT), reinforcement learning from human feedback (RLHF), or other post-training workflows
  • Preferred: Experience operating AI training infrastructure at scale for a hyperscaler, AI research organization, cloud provider, or GPU cloud environment
  • Preferred: Experience optimizing GPU utilization, training performance, or distributed-system reliability
  • Preferred: Familiarity with Kubernetes, containerized AI workloads, and large-scale infrastructure platforms
  • U.S. work authorization is required
  • Visa sponsorship is not currently available

Артықшылықтар

  • Some roles are eligible for merit-based increases
  • Some roles include annual bonus eligibility
  • Some roles offer long-term incentives
  • Medical insurance is available to U.S.-based employees
  • Dental insurance is available to U.S.-based employees
  • Vision insurance is available to U.S.-based employees
  • 401(k) plan
  • Company 401(k) matching
  • Paid holidays each calendar year

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