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Senior Engineering Manager, Reinforcement Learning Environments (RLE)
San Francisco, CA
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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:
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Shape how every career evolves in the AI economy, at global scale, with impact your friends, family and peers can see and feel
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Work hand-in-hand with world-class AI labs, Fortune 500 partners and the world’s top educational institutions
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Join a team with leadership from Scale AI, Meta, xAI, Notion, Coinbase, and Palantir, among others
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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:
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Lead, hire, and develop a high-performing team building RL environments and the platform behind them
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Own the RLE roadmap and execution in close partnership with Research, Product, and Operations
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Drive architecture for scalable, reliable, extensible environment systems and data generation pipelines
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Build modular, plug-and-play domains that integrate cleanly with training and evaluation loops
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Raise the bar on reliability, observability, performance, and data quality
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Create a culture of ownership, speed, and strong engineering fundamentals in an ambiguity heavy setting
WHAT WE’RE LOOKING FOR:
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Engineering leader + builder: 3+ years managing teams, plus 5+ years hands-on engineering experience
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Strong people leadership: experience leading senior engineers; managing an EM (or equivalent scope) is a plus
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Execution in ambiguity: proven ability to align cross-functionally and deliver in fast-moving, unclear problem spaces
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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:
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Experience with RL training infrastructure, simulation systems, or evaluation platforms
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Human-in-the-loop systems (annotation, rubric tooling, QA pipelines, workflow platforms)
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Operations-heavy, tech-enabled environment experience
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Familiarity with AWS/GCP, APIs, Docker, and modern stacks (TypeScript/Node, React)
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Experience building systems used by applied ML or AI research teams
WHAT SUCCESS LOOKS LIKE:
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RLE becomes the default platform researchers use to train workflow-capable models
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New domains launch quickly and reliably with trusted quality gates
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Environment reliability + data quality are trusted inputs into training and evaluation decisions
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The team scales with strong leaders who can independently drive new verticals
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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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Handshakeについて

Handshake
Series EHandshake is a career services platform that connects college students and recent graduates with employers for job opportunities and recruiting.
501-1,000
従業員数
San Francisco
本社所在地
$3.5B
企業価値
レビュー
2.8
3件のレビュー
ワークライフバランス
3.0
報酬
2.5
企業文化
2.0
キャリア
2.5
経営陣
2.0
25%
友人に勧める
良い点
Persistence can lead to successful outcomes
Initial pay agreements show potential
Job search platform provides opportunities
改善点
Disrespectful resignation and exit processes
Verbal pay agreements not honored
Long job search with many rejections
給与レンジ
8件のデータ
Intern
Intern · IT internship
1件のレポート
-
年収総額
基本給
-
ストック
-
ボーナス
-
面接体験
5件の面接
難易度
3.2
/ 5
期間
14-28週間
内定率
60%
体験
ポジティブ 60%
普通 0%
ネガティブ 40%
面接プロセス
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Final Interview
6
Offer
よくある質問
Technical Knowledge
Behavioral/STAR
Coding/Algorithm
Past Experience
Culture Fit
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