About the Role

We’re seeking a Machine Learning Engineer with deep experience fine-tuning large language models (LLMs) to join a fast-moving product team building an intelligent automation system.

What You Bring

• Strong experience in LLM fine-tuning (instruction tuning, LoRA, QLoRA, PEFT, etc.)
• Fluency in Python and libraries like Transformers (HuggingFace), PyTorch, LangChain, or LangGraph
• Experience working with open-source models and task-specific datasets
• Familiarity with prompt tuning, few-shot learning, and agentic reasoning frameworks
• Bonus: Familiarity with agent systems like LangGraph, AutoGen, or custom tools for agent control flow
• Comfort working in early-stage or research-heavy environments where iteration is fast and data is messy

Nice to Have

• Experience working with multimodal models (text + screen, vision-language)
• Familiarity with reinforcement learning from human feedback (RLHF) or gamified feedback loops
• Knowledge of toolformer-like architectures or LLMs that trigger external actions
• Previous contributions to open-source ML tools or models
• Interest in building product-grade systems from ML experiments

What You’ll Get

• A central role in shaping how real AI agents understand and execute tasks
• Freedom to experiment with new model architectures and training techniques
• A collaborative, high-velocity team that values both research and shipping a product
• Competitive contract-based compensation with the potential for long-term equity or a leadership role