Machine Learning Engineer
Software, SaaS, Cloud & Infrastructure
Published 4 days ago
Salary: $160,000 - $200,000
- Big Tech & Global Enterprises
- AI / ML Engineering & Research
San Francisco
Full-time - Engineering Manager
IT Services & Consulting
Posted 1 week ago
Disclosed upon interview
The SpringCube team curated the following job opportunity to help you in your job search. Explore the position below to find your next career move.
Company Overview
A leading analytics and technology organization is developing an advanced AI context platform designed to continuously improve the quality and intelligence of AI-assisted analytical work. The platform enables users to understand how AI agents interact with their data, identify quality gaps, and improve the context that drives better outcomes.
The organization is seeking an Engineering Lead to drive the strategy, execution, and growth of its AI context platform. The role combines technical leadership, people management, hands-on engineering, and talent development to build innovative systems at the intersection of data, AI agents, and SaaS platforms.
The context platform is central to the organization’s vision of creating systems that improve through usage. The team is developing a new development lifecycle for AI context that combines human insight with automated learning and continuous iteration.
The successful candidate will help address foundational challenges in AI agent behavior, including detecting and debugging reasoning failures, structuring and managing business context, balancing human-in-the-loop systems with autonomous improvement, and integrating context systems with the broader ecosystem of AI-powered tools and workflows.
Key Responsibilities
Required Qualifications
Preferred Qualifications
Disclaimer
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