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Crusoe Logo Crusoe · IT - Software Development

Staff Software Engineer, Model LifeCycle

United States, San Francisco 208725.00 - 253000.00 USD / Year · Job Posted February 21, 2026
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Job Description

The Staff Software Engineer for the Model LifeCycle team will play a key role in building a comprehensive managed platform for the entire application development lifecycle, with a specific focus on leveraging Machine Learning models, including Large Language Models (LLMs). This role offers significant scope for ownership — you'll be implementing and contributing to the design of core systems.

Job Responsibility

  • Contribute to fine-tuning systems for large foundation models (SFT, PEFT, LoRA, adapters), including multi-node orchestration, checkpointing, failure recovery, and cost-efficient scaling
  • Implement and maintain end-to-end training pipelines for Large Language Models
  • Contribute to distillation and reinforcement learning pipelines (e.g., preference optimization, policy optimization, reward modeling)
  • Develop and maintain agent execution infrastructure
  • Implement features for dataset, model, and experiment management: versioning, lineage, evaluation, and reproducible fine-tuning at scale
  • Work closely with Principal Engineers, product, business, and platform teams to implement the core abstractions and APIs of the system
  • Contribute to architectural decisions around training runtimes, scheduling, storage, and model lifecycle management
  • Engage with the open-source LLM ecosystem

Requirements

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field
  • 8-10+ years of industry experience with demonstrated history of consistent success leading a varied portfolio of initiatives across your function
  • Proven track record of delivering production features on time
  • Experience in using cloud-based services, such as, elastic compute, object storage, virtual private networks, managed database, etc.
  • Experience with Generative AI (Large Language Models, Multimodal)
  • Experience with AI infrastructure, including training, inference

Nice to have

  • Proficiency in Golang or Python for large-scale, production-level services
  • Experience contributing to open-source AI projects
  • Experience with performance optimizations on GPU systems and inference frameworks
  • Experience working with PyTorch
  • Experience with training and fine-tuning LLMs
  • Proactive and collaborative approach with the ability to work independently
  • Strong communication and interpersonal skills
  • Passion for building cutting-edge AI products and solving challenging technical problems

What we offer

  • Restricted Stock Units in a fast growing, well-funded technology company
  • Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents
  • Employer contributions to HSA accounts
  • Paid Parental Leave
  • Paid life insurance, short-term and long-term disability
  • Teladoc
  • 401(k) with a 100% match up to 4% of salary
  • Generous paid time off and holiday schedule
  • Cell phone reimbursement
  • Tuition reimbursement
  • Subscription to the Calm app
  • MetLife Legal
  • Company paid commuter benefit
  • $300/month
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