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Machine Learning Researcher - Scaling & Performance
Summary by AIEngineer.careers
Machine Learning Researcher - Scaling & Performance is a AI Research Engineer role (full-time). with Regrello. in SEATTLE, US. Imported listing (source: wfh.hstn.me). Apply on the employer's site (wfh.hstn.me).
Imported listing (source: wfh.hstn.me) · Apply on wfh.hstn.me
SEATTLE · US
—
Full-time
SENIOR
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from wfh.hstn.me
This role involves conducting research on tabular modeling using a novel foundational deep learning model for large, complex tabular datasets. The ideal candidate has a PhD or 3+ years of experience scaling and deploying deep learning models.
Responsibilities
- Conduct research on tabular modeling. Work with large, complex tabular datasets. Scale and deploy deep learning models.
Requirements
- PhD or 3+ years of experience scaling/deploying deep learning models.
Tech Stack
Machine LearningDeep Learning
R
Regrello
San Francisco · US · 17+ employees
Regrello (now part of Salesforce as Agentforce Operations) is a technology company that developed an AI-powered operating system for manufacturing and supply chain processes. It focuses on automating manual workflows to increase efficiency and reduce operational bottlenecks.
