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Job description
Location
San Francisco, CA - US
Employment Type
Full time
Location Type
On-site
Department
Cloud Engineering
Crusoe's mission is to accelerate the abundance of energy and intelligence. We’re crafting the engine that powers a world where people can create ambitiously with AI — without sacrificing scale, speed, or sustainability.
Be a part of the AI revolution with sustainable technology at Crusoe. Here, you'll drive meaningful innovation, make a tangible impact, and join a team that’s setting the pace for responsible, transformative cloud infrastructure.
About this role
The Senior Software Engineer for the Model LifeCycle team will contribute to building a managed platform for the entire application development lifecycle, with a specific focus on leveraging Machine Learning models, including Large Language Models (LLMs).
What You Will Be Working On
Implement and maintain systems for fine-tuning 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.
Implement components for distillation and reinforcement learning pipelines (e.g., preference optimization, policy optimization, reward modeling).
Develop and maintain core agent execution infrastructure.
Implement features for dataset, model, and experiment management, focusing on versioning, lineage, evaluation, and reproducible fine-tuning.
Collaboration and Impact
Work closely with Senior Engineers and Principal Engineers, as well as product and platform teams, to implement system abstractions and APIs.
Contribute to technical discussions on training runtimes, scheduling, storage, and model lifecycle management.
4-5+ years of industry experience with demonstrated history of consistent success leading a varied portfolio of initiatives across your function
Engage with the open-source LLM ecosystem.
This role involves significant implementation ownership for core system components.
What You’ll Bring to the Team
Engineering Fundamentals Bachelor's degree in Computer Science, Engineering, or a related field.
Experience delivering production-ready features.
Familiarity with essential cloud-based services (e.g., compute, storage, networking).
AI/ML Expertise Familiarity with Generative AI (Large Language Models, Multimodal).
Experience with AI infrastructure components (training, inference).
Preferred Qualifications
Proficiency in Golang or Python for production services.
Familiarity with PyTorch.
Some experience with training and fine-tuning LLMs.
Personal Attributes
Proactive and collaborative approach.
Strong communication and interpersonal skills.
Passion for building AI products and solving technical problems.
Benefits
Industry competitive pay
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
Compensation Range
Compensation will be paid in the range of up to $166,000 - $201,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicants knowledge, education, and abilities, as well as internal equity and alignment with market data.
Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.
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Worksite address
san francisco, CA, 94199, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.