Research Engineer
| Company | Resolve |
|---|---|
| Location | San Francisco, CA, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | |
| Experience Level | Mid Level, Senior |
Requirements
- Deep experience with LLMs: Experience working with foundation models (e.g., GPT-4, Llama, Gemini), including fine-tuning, prompt engineering, and optimization
- Strong software engineering skills: Proficiency in Python, Go, or C++ with experience in distributed systems and cloud infrastructure
- Data engineering expertise: Experience working with large-scale data pipelines, embeddings, vector databases, or search
- Machine learning fundamentals: Understanding of transformers, deep learning, and self-supervised learning
Responsibilities
- Develop AI-powered workflows end-to-end, balancing research and engineering to create production-ready AI models
- Build and optimize data pipelines to process high-volume structured and unstructured data for training and evaluation
- Design and execute benchmarks to evaluate AI models, improve performance, and reduce compute costs
- Fine-tune and train Large Language Models (LLMs) for production engineering and reliability use cases
- Research and experiment with novel techniques, including reinforcement learning, retrieval-augmented generation, and autonomous reasoning
- Work in a collaborative, high-impact team, translating research into scalable AI-powered solutions
Preferred Qualifications
- Experience with Reinforcement Learning (RLHF/RLCEF), Retrieval-Augmented Generation (RAG), or multi-agent AI systems