Designworks Talent LLC
Designworks Talent LLC
Designworks Talent LLC yra įdarbinimo ir talentų konsultavimo įmonė, aptarnaujanti sparčiai augančius startuolius ir pasaulines dideles įmones. 2009 m. įkurta bendrovė derina patyrusių atrankų specialistų darbą su dirbtiniu intelektu grindžiamais įrankiais, kad padėtų greičiau ir tikslingiau įdarbinti darbuotojus. Jos veikla apima visapusišką kandidatų paiešką, projektinį įdarbinimą ir lanksčius pagal poreikį taikomus modelius, taip pat mastelio galimybes turinčią įdarbinimo strategiją, įdarbinimo operacijas, talentų įsigijimo įmonės mastu lyderystę, duomenimis grindžiamą kandidatų paiešką ir kandidatų patirtį. Komandos požiūris sukurtas taip, kad organizacijoms teiktų pritaikomą pagalbą kintant jų įdarbinimo poreikiams.

Staff AI Training Infrastructure Engineer

Lead the development of distributed GPU training infrastructure for large AI models. Improve reliability, efficiency, fault tolerance, and production training operations at scale.

Aprašymas

  • Build and scale distributed training infrastructure for large AI models across extensive GPU clusters
  • Design 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 issues affecting training throughput, stability, reliability, and cost efficiency
  • Create tools and automation that enhance the experience of AI researchers and engineers
  • Define best practices for training infrastructure, operations, and platform reliability
  • Help shape the AI infrastructure platform as an early member of the engineering team

Reikalavimai

  • Practical 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 reliability, scalability, and efficiency challenges in multi-node GPU training
  • Experience connecting training systems to production machine learning pipelines
  • Advanced programming ability and experience working with complex distributed systems
  • Demonstrated ability to independently lead technically demanding projects
  • Experience with distributed training frameworks such as PyTorch Distributed, DeepSpeed, Megatron-LM, Ray, or comparable technologies
  • Experience with supervised fine-tuning, reinforcement learning from human feedback, or other post-training methods
  • Experience operating AI training infrastructure at scale for a hyperscaler, AI research organization, cloud provider, or GPU cloud
  • Background optimizing GPU utilization, training performance, or distributed system reliability
  • Familiarity with Kubernetes, containerized AI workloads, and large-scale infrastructure platforms
  • U.S. work authorization is required
  • Visa sponsorship is not currently available

Privalumai

  • Some roles offer merit increases, annual bonuses, and long-term incentives based on individual performance
  • Medical, dental, and vision insurance for U.S.-based employees
  • 401(k) plan with company matching
  • Paid holidays each calendar year
  • Hybrid work arrangement

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