Machine Learning Researcher
Inference
About this role
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.
Skills
About Inference
inference.netInference.net is an innovative platform that specializes in AI inference solutions, enabling businesses to effectively train and host custom large language models tailored to their specific needs. The company offers a range of services, including serverless API and batch inference capabilities, designed to deliver improved performance and cost-efficiency compared to traditional models. With a focus on reducing latency and enhancing model accuracy, Inference.net empowers organizations to leverage AI technologies across various modalities such as text, image, and video. Their mission is to provide high-quality, reliable AI solutions that optimize deployment processes and drive operational excellence for their clients.
About Inference
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Leadership Team
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
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and employee contacts for Inference.
Salary
$250k – $350k
per year