Staff Software Engineer, RLE

About Handshake
Handshake was founded on a simple belief that everyone deserves a path to a great career, regardless of where they went to school or who they know. Today, we power 25 million job seekers, 1 million+ employers, and 1,600 educational institutions.

In 2025, we started Handshake AI and built the fastest-growing AI data business in history. We work directly with frontier AI lab researchers to create evaluations, publish benchmarks, and push the boundary of data. We’ve grown from $0 to ~$1B run rate and pay ~$60M to over 30K individuals every month.

Why join Handshake now:

Shape how every career evolves in the AI economy, at global scale, with impact your friends, family and peers can see and feel

Partner hand-in-hand with world-class AI labs, Fortune 500 partners and the world’s top educational institutions

Work together with engineers, scientists, operators, and more from Palantir, Meta, Scale AI, and former YC founders

Build a massive, fast-growing business with billions in revenue

About Handshake AI

Human data is the core infrastructure to AI advancement. Frontier AI labs currently improve model capabilities with various data-intensive post-training techniques. We believe that data spend for AI training will increase by 3-5x in the next few years and continue for much longer as models take on new domains. Handshake AI supports all of the frontier AI labs, working on their most complex data at the largest scale.

About the Role
We’re hiring a Staff Software Engineer to lead the architecture and evolution of our Reinforcement Learning Environments (RLE) platform—the systems that define how frontier AI models learn real-world work.

This is a high-impact, technical leadership role responsible for system design, cross-team alignment, and setting the long-term technical direction of RLE.

What You’ll Do

Define and drive architecture for scalable, extensible RLE systems and data pipelines

Lead development of platform capabilities enabling rapid domain creation

Partner with Research, Product, and Ops to shape strategy and execution

Set standards for reliability, observability, performance, and data quality

Mentor engineers and elevate engineering excellence across the team

Identify and solve systemic bottlenecks in scaling environments and data generation

What We’re Looking For

8+ years of experience in distributed systems, backend infrastructure, or ML platforms

Deep expertise in system design, data modeling, and scalable architectures

Strong proficiency with TypeScript, backend systems, and modern web stacks

Proven experience operating high-scale production systems in cloud environments

Track record of technical leadership and cross-functional influence

Nice to Have

Experience with RL infrastructure, simulation systems, or evaluation frameworks

Background supporting applied AI/ML research teams

Experience building platform-level abstractions used across multiple teams

What Success Looks Like

RLE becomes a foundational, trusted platform across teams and use cases

New domains scale rapidly with minimal engineering overhead

Systems demonstrate step-function improvements in model quality and reliability

Engineering velocity and system robustness increase across the organization

Perks
Handshake delivers benefits that help you feel supported—and thrive at work and in life.

The below benefits are for full-time US employees.

🎯 Ownership: Equity in a fast-growing company

💰 Financial Wellness: 401(k) match, competitive compensation, financial coaching

🍼 Family Support: Paid parental leave, fertility benefits, parental coaching

💝 Wellbeing: Medical, dental, and vision, mental health support, $500 wellness stipend

📚 Growth: $2,000 learning stipend, ongoing development

💻 Office: Commuting support, free lunch, and gym in our SF office

🏝 Time Off: Flexible PTO, 15 holidays + 2 flex days

🤝 Connection: Team outings & referral bonuses