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Staff/Senior Machine Learning Research Engineer, Intelligent Systems
Summary by AIEngineer.careers
Staff/Senior Machine Learning Research Engineer, Intelligent Systems is a Machine Learning Research Engineer role (full-time). with Scale AI. in SAN FRANCISCO, US. Compensation shown: $250K–$350K. Imported listing (source: jobs-radar.com). Apply on the employer's site (jobs-radar.com).
Imported listing (source: jobs-radar.com) · Apply on jobs-radar.com
SAN FRANCISCO · US
$250K–$350K
Full-time
STAFF
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 jobs-radar.com
Join the Intelligent Systems team at Scale AI as a Staff/Senior Machine Learning Research Engineer. This role focuses on applications platform engineering, driving innovation in intelligent systems and machine learning infrastructure.
Responsibilities
- Design and implement machine learning research solutions for intelligent systems.
- Develop and optimize applications platform engineering tools and frameworks.
- Collaborate with cross-functional teams to advance AI capabilities.
Requirements
- Strong background in machine learning research and engineering.
- Experience with intelligent systems or related AI domains.
- Proven track record in platform engineering or software development.
Nice to Have
- Publications in top-tier ML/AI conferences.
- Experience with large-scale distributed systems.
Tech Stack
Intelligent SystemsMachine Learning
Scale AI
San Francisco · US · 1500+ employees
Scale AI is a leading data platform providing high-quality training data and AI infrastructure for machine learning. The company helps enterprises and governments build, deploy, and monitor reliable AI applications.
