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This position was posted on April 24, 2026 and is likely no longer accepting applications. We've kept it here for historical reference. Check out the similar jobs below!

Job Overview
Location
Remote (USA)
Job Type
Full-time
Category
Software Engineering
Date Posted
April 24, 2026
Full Job Description
📋 Description
- • As a Staff Software Engineer on the Reinforcement Learning Environments (RLE) team at Handshake, you will lead the architecture and evolution of the systems that define how frontier AI models learn real-world work, directly shaping how careers evolve in the AI economy at global scale.
- • You will define and drive architecture for scalable RLE systems and data pipelines, lead development of platform capabilities for rapid domain creation, partner with Research, Product, and Ops to shape strategy, set standards for reliability and performance, mentor engineers, and identify and solve systemic bottlenecks in scaling environments and data generation.
- • Handshake is the career network for the AI economy, trusted by 20 million knowledge workers, 1,600 educational institutions, 1 million employers (including 100% of the Fortune 50), and every foundational AI lab, with leadership from Scale AI, Meta, xAI, Notion, Coinbase, and Palantir, and is experiencing rapid growth, having tripled its ARR in 2025.
- • In this role, you will have the opportunity to build a foundational, trusted platform used across teams, enable rapid scaling of new domains with minimal overhead, drive step-function improvements in model quality and reliability, and elevate engineering velocity and robustness across the organization while mentoring engineers and setting long-term technical direction.
Skills & Technologies
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About Handshake Technologies, Inc.
Handshake Technologies provides a cloud-based career-services platform that connects university students, recent graduates, and employers. The software enables institutions to manage job postings, career fairs, on-campus interviews, and employer relations while giving students tools to discover internships and entry-level roles and giving employers access to early-career talent across a network of partner colleges and universities.
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