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Senior Engineering Manager, Reinforcement Learning Environments (RLE)

Handshake

Senior Engineering Manager, Reinforcement Learning Environments (RLE)

Handshake

San Francisco, CA

·

On-site

·

Full-time

·

1mo 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 Senior Engineering Manager to lead our Reinforcement Learning Environments (RLE) team - the group building the interactive sandboxes where frontier models learn to complete real work.

RLE environments simulate end-to-end workflows across domains like software engineering, finance, and legal research, with realistic tools, constraints, and feedback loops. The platform generates high-signal interaction data researchers use to train and evaluate models for task completion, quality, and robustness.

This is a high-leverage role: the systems you lead directly shape what models can learn, how quickly new domains can launch, and how much researchers trust the signal. You’ll lead a team of ~9 engineers today and are expected to add leadership capacity (including managing an EM) as we scale.

Location: San Francisco, CA. This is an in-office role, 5 days/week (no remote/hybrid)

WHAT YOU’LL DO:

  • Lead, hire, and develop a high-performing team building RL environments and the platform behind them

  • Own the RLE roadmap and execution in close partnership with Research, Product, and Operations

  • Drive architecture for scalable, reliable, extensible environment systems and data generation pipelines

  • Build modular, plug-and-play domains that integrate cleanly with training and evaluation loops

  • Raise the bar on reliability, observability, performance, and data quality

  • Create a culture of ownership, speed, and strong engineering fundamentals in an ambiguity heavy setting

WHAT WE’RE LOOKING FOR:

  • Engineering leader + builder: 3+ years managing teams, plus 5+ years hands-on engineering experience

  • Strong people leadership: experience leading senior engineers; managing an EM (or equivalent scope) is a plus

  • Execution in ambiguity: proven ability to align cross-functionally and deliver in fast-moving, unclear problem spaces

  • Systems + product mindset: strong platform/distributed systems background, and the ability to turn research/ops needs into a clear roadmap, ship iteratively, and measure outcomes

NICE TO HAVE:

  • Experience with RL training infrastructure, simulation systems, or evaluation platforms

  • Human-in-the-loop systems (annotation, rubric tooling, QA pipelines, workflow platforms)

  • Operations-heavy, tech-enabled environment experience

  • Familiarity with AWS/GCP, APIs, Docker, and modern stacks (TypeScript/Node, React)

  • Experience building systems used by applied ML or AI research teams

WHAT SUCCESS LOOKS LIKE:

  • RLE becomes the default platform researchers use to train workflow-capable models

  • New domains launch quickly and reliably with trusted quality gates

  • Environment reliability + data quality are trusted inputs into training and evaluation decisions

  • The team scales with strong leaders who can independently drive new verticals

  • The platform measurably improves real-world task completion, robustness, and quality

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

💻 Remote & Office: Internet, commuting, and free lunch/gym in our SF office

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

🤝 Connection: Team outings & referral bonuses

Explore our mission, values, and comprehensive US benefits at joinhandshake.com/careers http://joinhandshake.com/careers.

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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

2.8

3条评价

工作生活平衡

3.0

薪酬

2.5

企业文化

2.0

职业发展

2.5

管理层

2.0

25%

推荐给朋友

优点

Persistence can lead to successful outcomes

Initial pay agreements show potential

Job search platform provides opportunities

缺点

Disrespectful resignation and exit processes

Verbal pay agreements not honored

Long job search with many rejections

薪资范围

8个数据点

Intern

Intern · IT internship

1份报告

-

年薪总额

基本工资

-

股票

-

奖金

-

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