Senior Staff Software Engineer, AI Model Lifecycle
Crusoe · San Francisco, CA
- On site
- Full-time
- $275,000 / year
- San Francisco, CA
✓ Hiring manager found for this role
Email the hiring manager to get a response.
Get their verified email + an intro that's ready to send.
Senior Staff Software Engineer, AI Model Lifecycle
Crusoe · San Francisco, CA
Taylor Morgan
Hiring Manager · h•••••@jobs.ashbyhq.com
✍️ Your intro emailReady to send
Subject: Interested in the Senior Staff Software Engineer, AI Model Lifecycle role at Crusoe
Hi Taylor — I came across the Senior Staff Software Engineer, AI Model Lifecycle opening and wanted to reach out directly. I've spent the last few years doing exactly this kind of work, and Crusoe stood out because…
🔒 Unlock to read & send
✎ Personalized to your résumé after sign-up.
$1 once
Just this hiring manager
Best value
$9/mo
Unlimited — any job, anywhere
- ✓ Verified email of the hiring manager
- ✓ Intro email personalized to your résumé
- ✓ $9/mo = unlimited — any job link
Secure checkout · cancel anytime
View the original posting ↗
Not recommended alone — most applicants never hear back.
Job highlights
- Build AI model lifecycle platform.
- Manage foundation model fine-tuning systems.
- Implement LLM training and RL pipelines.
- Requires advanced degree and 8+ years experience.
- Focus on Generative AI and LLM alignment.
About the role
Senior Staff Software Engineer, AI Model Lifecycle
Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe.About This Role:
The Senior Staff Software Engineer for the AI Model Lifecycle team will play a crucial 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).What You’ll Be Working On:
- Manage 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.
- RFT and Reinforcement learning to the fine tuning and training sections.
- Distillation and reinforcement learning pipelines (e.g., preference optimization, policy optimization, reward modeling).
- Dataset, model, and experiment management: versioning, lineage, evaluation, and reproducible fine-tuning at scale.
What You’ll Bring to the Team:
- Advanced degree in Computer Science, Engineering, or a related field.
- 8+ years of industry experience leading and driving impactful projects in the AI Space.
- Experience in Generative AI (Large Language Models, Multimodal).
- Hands-on experience training, fine-tuning, and aligning LLMs using Reinforcement Learning and Reinforcement Fine-Tuning (RFT) techniques.
- Proactive and collaborative approach with the ability to work autonomously.
- Passion for building cutting-edge AI products and solving challenging technical problems.
Bonus Points:
- Proficiency in Golang or Python for large-scale, production-level services and PyTorch.
- Contributions to open-source AI projects such as vLLM or similar frameworks.
- Performance optimizations on GPU systems and inference frameworks.
Key skills/competency:
- AI Model Lifecycle
- Machine Learning
- Large Language Models (LLMs)
- Generative AI
- Reinforcement Learning
- Fine-tuning
- Python
- PyTorch
- GPU Systems
- Software Engineering
Skills & topics
- Senior Staff Software Engineer
- AI Model Lifecycle
- Machine Learning Engineer
- Generative AI
- LLM
- Reinforcement Learning
- Python
- PyTorch
- Software Development
- AI Infrastructure
How to get hired
- Tailor your resume: Highlight AI, LLM, and Generative AI experience. Emphasize leadership in impactful projects.
- Showcase technical skills: Detail your experience with fine-tuning, RL, Python, PyTorch, and GPU optimization.
- Demonstrate collaboration: Provide examples of autonomous work and teamwork in previous roles.
- Express passion: Clearly articulate your enthusiasm for AI and solving complex technical challenges.
- Prepare for interviews: Be ready to discuss your contributions to AI projects and problem-solving approaches.
Technical preparation
Master LLM fine-tuning techniques (SFT, PEFT, LoRA).,Understand reinforcement learning pipelines.,Gain proficiency in Python and PyTorch.,Optimize performance on GPU systems.
Behavioral questions
Describe a challenging AI project you led.,How do you handle ambiguity in projects?,Share an experience collaborating autonomously.,How do you stay updated on AI advancements?
Prefer to apply the usual way?
Not recommended alone — most applicants never hear back. Email the hiring manager first.
Frequently asked questions
- What is the role of the Senior Staff Software Engineer at Crusoe?
- The Senior Staff Software Engineer on the AI Model Lifecycle team is responsible for building and managing a comprehensive platform for the entire AI application development lifecycle, with a strong emphasis on Machine Learning models, including Large Language Models (LLMs).
- What specific AI model lifecycle tasks will this role involve?
- This role involves managing fine-tuning systems for large foundation models, implementing end-to-end LLM training pipelines, working with distillation and reinforcement learning, and managing datasets, models, and experiments for reproducible fine-tuning at scale.
- What are the key technical skills required for this position?
- Key technical skills include experience with Generative AI (LLMs, Multimodal), training and fine-tuning LLMs using Reinforcement Learning (RL) and Reinforcement Fine-Tuning (RFT), proficiency in Python or Golang, and experience with PyTorch. Bonus points for contributions to open-source AI projects and GPU performance optimization.
- What kind of experience level does Crusoe seek for this Senior Staff Software Engineer role?
- Crusoe is looking for candidates with an advanced degree in Computer Science or a related field and at least 8 years of industry experience leading impactful projects specifically within the AI space.
- How does Crusoe support employee growth and development?
- Crusoe offers professional development opportunities, tuition reimbursement, and encourages employees to grow their careers alongside a team of experts. They foster a culture of continuous learning and innovation.
- What is the compensation structure for this role at Crusoe?
- The compensation range is up to $237,600 - $318,240 plus a bonus. All offers include Restricted Stock Units. The final compensation will depend on the applicant's knowledge, education, abilities, internal equity, and market data.
- Does Crusoe offer remote work for this Senior Staff Software Engineer position?
- The job description does not explicitly state the work arrangement. Typically, roles at this level may offer hybrid or remote options, but it's best to clarify this directly with the hiring team during the application process.
- What is the company mission at Crusoe?
Similar roles
Open positions we recommend based on this role.