Inference
A Machine Learning Researcher at Inference.net is responsible for conducting research into experimental models and training architectures to develop novel AI products. The role involves optimizing model performance, conducting rigorous experiments, and implementing advanced learning methods such as SFT, RLHF, and DPO. Collaborating with applied engineers, the researcher will bring successful innovations into production, training models for clients and establishing robust evaluation frameworks. The position requires strong proficiency in PyTorch, a deep understanding of transformer architectures, and experience in post-training techniques.
Headquarters
San Francisco, California, United States
Company Size
1-10 employees
Founded
2023
Inference.net is an AI infrastructure platform built for AI-native engineering teams, offering a suite of tools to deploy, monitor, trace, train, and evaluate large language models in production. Their platform provides fully managed model hosting with high uptime, LLM observability across any provider, fine-tuning workflows, and continuous evaluation pipelines — all designed to reduce cost and latency at scale. Inference.net also offers open-source tooling such as HALO for agent optimization, and supports custom and fine-tuned model deployment across public, private, and hybrid cloud environments.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Inference.