Research Engineer

Posted 14 Days Ago
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San Francisco, CA
In-Office
135K-300K Annually
Mid level
Artificial Intelligence • Software
Build fullstack web apps by prompting (YC W24)
The Role
The Research Engineer will build multi-agent systems, create simulation platforms, and prototype innovative ML ideas while leveraging a strong background in machine learning.
Summary Generated by Built In
About us
  • Same enables anybody in the world to prompt software into existence. We launched Same in Mar 2025 (link). In 8 weeks, we hit 350k in signups and $2m+ ARR, and we’re growing very fast.

  • Our founders are Aiden Bai, John Yang, and Nisarg Patel. We built open source projects used by millions of developers (Million.js , React Scan) and Airbnb, Robinhood, Perplexity, and Shopify in production.

  • We're a small but experienced team that ships relentlessly. We welcome feedback to improve both our product and ourselves. We work hard, and we operate with a high degree of trust, agency, and ownership.

What you'll do
  • Ship production-ready multi-agent systems: You’ll move fast to build tools and infrastructure for integrating, debugging, deploying, and operating low-cost, scalable multi-agent systems.

  • Simulation & Benchmarking: Create our simulation platform to test our agents. Implement and maintain analytics, experiments, and evaluation frameworks to track model quality.

  • Innovation & Exploration: Keep up to date with the latest in ML research and tooling. Propose and prototype innovative ideas to push Same's product capabilities forward.

What you'll bring
  • Strong ML background: 3+ years of research or engineering experience. Deep understanding of model architectures, training pipelines, and evaluation methodologies. Your credentials matter less than your ability to ship.

  • Strong intuition and bias toward action: You’re comfortable learning by doing and iterating through complexity. You can distill key insights from research, but your real strength is in identifying the why and testing the how.

  • Proven experience in rapid prototyping: Solid software engineering skills. When building new agent workflows or deploying production ML systems, you move quickly from idea to execution.

  • Track record of impact: Top-tier publications, open-source contributions, or meaningful real-world work.

Top Skills

Analytics
Evaluation Frameworks
Machine Learning
Python
Simulation Tools
Am I A Good Fit?
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The Company
50 Employees
Year Founded: 2021

What We Do

Same is a coding agent in the browser. Hundreds of thousands of non-technical builders love using us to build real products, websites and apps. Our end goal is to solve programming and allow anyone to build real, profitable software businesses. Previously, we built open source projects used by millions of developers (Million.js, React Scan) and Airbnb, Robinhood, Perplexity, Shopify in production. We’re funded by YC and our business is growing very fast.

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