Software Engineer I, RLE

Reposted 5 Days Ago
San Francisco, CA, USA
In-Office
158K-175K Annually
Mid level
Edtech • Enterprise Web • HR Tech • Software
Handshake is the number one site for college students to find a job.
The Role
The Software Engineer I will build and scale Reinforcement Learning Environments, design backend systems, and translate product needs into production systems while improving system performance.
Summary Generated by Built In
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 Software Engineer to build our Reinforcement Learning Environments (RLE) platform—the interactive systems where frontier AI models learn to complete real-world work.

This role owns meaningful components end-to-end and plays a key part in scaling systems that power model training and evaluation.

Location: San Francisco, CA (in-office, 5 days/week)

What You’ll Do
  • Build and scale core components of RLE environments and infrastructure

  • Design and implement backend systems and data pipelines

  • Translate ambiguous product and research needs into production systems

  • Develop modular, reusable workflow domains

  • Improve reliability, observability, and system performance

What We’re Looking For
  • 2–4 years of experience in backend, distributed systems, or ML-adjacent infrastructure

  • Strong proficiency in ReactJS and TypeScript

  • Solid experience with relational databases (PostgreSQL) and data modeling

  • Experience with cloud infrastructure (AWS/GCP) and CI/CD

  • Ability to independently drive projects from design to production

Nice to Have
  • Experience with simulation systems or evaluation platforms

  • Exposure to ML systems or working with research teams

  • Experience in fast-moving, operations-heavy environments

What Success Looks Like
  • Owns and delivers key RLE components end-to-end

  • Improves system scalability and developer velocity

  • Enables faster launch of new domains with high-quality data

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

Skills Required

  • 2-4 years of experience in backend, distributed systems, or ML-adjacent infrastructure
  • Strong proficiency in ReactJS and TypeScript
  • Solid experience with relational databases (PostgreSQL) and data modeling
  • Experience with cloud infrastructure (AWS/GCP) and CI/CD
  • Ability to independently drive projects from design to production

Handshake Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Handshake and has not been reviewed or approved by Handshake.

  • Leave & Time Off Breadth Time-off practices include flexible/unlimited PTO, companywide recharge weeks in summer and winter, plus additional volunteer and personal holiday time. Feedback suggests sabbaticals and coordinated breaks help people actually use rest time.
  • Parental & Family Support Parental leave is described as extended for primary and secondary caregivers, and family-oriented policies are highlighted. Fertility and family-support resources are referenced in public materials.
  • Healthcare Strength Core coverage spans medical, dental, and vision, with added mental-health resources and wellness programming. Feedback suggests these supports contribute meaningfully to overall wellbeing.

Handshake Insights

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The Company
HQ: San Francisco, CA
700 Employees
Year Founded: 2014

What We Do

Handshake is the #1 place to launch a career with no connections, experience, or luck required. The platform connects up-and-coming talent with 650,000+ employers - from Fortune 500 companies like Google, Nike, and Target to thousands of public school districts, healthcare systems, and nonprofits. Earlier this year, we announced our $200M Series F funding round. This Series F fundraise and new valuation of $3.5B will fuel Handshake’s next phase of growth and propel our mission to help more people start, restart, and jumpstart their careers.

Why Work With Us

How someone builds their career is foundational. We believe in working with the higher education community to help students build meaningful careers. We are at the nexus of universities, students and employers— and we’re able to connect the very best pieces of each side. We’re proud to create a community where students can be more successful.

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