Job Summary:
OpenReq is focused on innovative AI chip technology, and they are seeking a Machine Learning Researcher to lead research efforts on compute trade-offs for enhanced understanding and speed. The role involves developing new benchmarks and systems to leverage their unique hardware capabilities.
Responsibilities:
• Combine multi-agent with RAG to improve the quality of QA
• Evaluate new system on standard benchmark
• Design new and verifiable benchmark for agent reasoning
• Design LLM content understanding based recommendation systems
Qualifications:
Required:
• Past projects or publications with substantial impact in ML and/or CV (quality > quantity)
• Strong hands-on engineering skills, particularly with python, pytorch, CUDA, DDP/FSDP
• Deep understanding of open and closed source model architectures and open source libraries for transformer training and inference
• Familiarity with LlamaIndex, LangChain, MetaGPT, CoT, ToT, and beam search
• Ability to think outside the box and make tradeoffs considering feasibility, quality, and time-to-ship of a project
Preferred:
• Knowledge graphs
• Name entity recognition
• Tool calling and coder LLMs
• SWE bench & SWE agent
Company:
OpenReq is a talent acquisition firm that offers recruiting and staffing solutions for early-stage start-ups. Founded in 2020, the company is headquartered in San Diego, USA, with a team of 11-50 employees. The company is currently Early Stage.