# Staff Software Engineer, AI Model LifeCycle

**Company:** [Crusoe](https://hotfix.jobs/companies/crusoe)
**Location:** San Francisco, CA, Sunnyvale, CA
**Role:** ML Engineering
**Salary:** $209k – $280k/yr
**Experience:** 8+ years
**Skills:** PyTorch, Python, Go, LLMs, Fine-Tuning, Sft, Peft, Lora, Reinforcement Learning, Rft, vLLM, GPU, Multi-Node Orchestration
**Posted:** 2026-03-19

> Builds and manages end-to-end training pipelines for Large Language Models, including fine-tuning systems with SFT, PEFT, LoRA, and reinforcement learning techniques. Requires 8+ years in AI, hands-on LLM experience, and advanced degree in CS/Engineering.

## Job Description

## 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.

## Compensation
Compensation range: **$208,725 - $279,565** + Bonus. Restricted Stock Units included.

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