Applied ML Engineer

Nexusflow.ai • Palo Alto, CA

1d

About The Position

About Nexusflow.ai Modern enterprise copilots & agents call for last-mile quality, enterprise-grade robustness and scalable operation costs, beyond simplified programming interfaces for generative AI. Nexusflow tackles this challenge, enabling enterprises to own their workflow copilots & agents stacked on top of powerful yet cost-effective, compact LLMs. We train large language models and build last-mile quality dev tooling for copilots & agents on your enterprise workflows. Our team has built the open-source LLM, NexusRaven-V2 , rivaling GPT-4 in function calling with a 100X smaller model size. Our team members are also behind the scenes of Starling , the #1 ranked compact 7B chat model based on human evaluation in Chatbot Arena . Position: Applied ML Engineers Nexusflow is currently adding A pplied ML Engineers to our team. Our Applied ML Engineers power our LLMs as well as Nexusflow’s methodologies for last-mile quality tooling for copilots and agents. They build the base layer of Nexusflow’s stack, contributing to tooling product and customer solutions.

Requirements

• Research or industrial engineering experience in at least one of the following aspects in the context of large language model or multi-modality models:
• Data curation
• Pre training
• Instruction tuning
• Copilots & agents building
• Capability study and benchmarking
• Excitement to contribute to both applied research and software engineering on productionizing the applied research outcome

Nice To Haves

• Working experience in fast-pace teams
• In-depth experience in using or contributing to modern compute frameworks for LLMs (e.g. Deepspeed, Huggingface TGI)
• Experience in turning applied research results into product components

Responsibilities

• Develop LLMs targeted at powering copilots and agents built for enterprise workflows
• Develop toolings to attain last-mile quality and robustness for copilot & agents applications (especially under low volume of manually curated data)
• Building copilot & agent application solutions for high value customer verticals
• Wear many hats and collaborate with the whole team for product development, deployment and customer success

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed