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职位Handshake

Staff Software Engineer, RLE

Handshake

Staff Software Engineer, RLE

Handshake

Remote (USA)

·

Remote

·

Full-time

·

6d ago

About Handshake

Handshake is the career network for the AI economy. 20 million knowledge workers, 1,600 educational institutions, 1 million employers (including 100% of the Fortune 50), and every foundational AI lab trust Handshake to power career discovery, hiring, and upskilling, from freelance AI training gigs to first internships to full-time careers and beyond. This unique value is leading to unparalleled growth; in 2025, we tripled our ARR at scale.

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

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

  • Join a team with leadership from Scale AI, Meta, xAI, Notion, Coinbase, and Palantir, among others

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

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.

Location:

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

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

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关于Handshake

Handshake

Handshake

Series E

Handshake is a career services platform that connects college students and recent graduates with employers for job opportunities and recruiting.

501-1,000

员工数

San Francisco

总部位置

$3.5B

企业估值

评价

3.8

10条评价

工作生活平衡

3.7

薪酬

2.8

企业文化

4.1

职业发展

2.5

管理层

3.2

72%

推荐给朋友

优点

Flexible work arrangements and remote options

Supportive team and environment

Good leadership and vision

缺点

Limited growth and promotion opportunities

Compensation could be better

Management needs improvement

薪资范围

7个数据点

Mid/L4

Senior/L5

Staff/L6

Mid/L4 · Data Scientist

0份报告

$167,500

年薪总额

基本工资

-

股票

-

奖金

-

$142,375

$192,625

面试经验

5次面试

难度

3.2

/ 5

时长

14-28周

录用率

60%

体验

正面 60%

中性 0%

负面 40%

面试流程

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Final Interview

6

Offer

常见问题

Technical Knowledge

Behavioral/STAR

Coding/Algorithm

Past Experience

Culture Fit