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Open nowPosted 455 days ago

Founding AI/ML Engineer

Moda4 open roles

Where
New York City, NY
Work mode
On site
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Your applicationOpen nowFounding AI/ML EngineerModa · New York City, NY

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  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Moda's own form.

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The clock on this job

Early applications get read.

11.4% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.0%1 day
  2. 4.2%3 days
  3. 11.4%7 days
  4. 17.5%14 days
  5. 34.2%30 days
  6. 43.5%60 days
This job: posted 455 days ago

The posting

We're hiring a researcher/engineer to solve deep AI challenges.

Join us in building state-of-the-art agent systems for previously unsolved domains. You'll work on diverse AI challenges that push the boundaries of what's possible with current models.

Your mission:

  • Work on building and constantly improving a SOTA Agent for our domain
  • Design robust learning pipelines (e.g. RLHF, RL) and build any custom environments needed for feedback signal
  • Set up a durable eval strategy
  • Train smaller models for scoped tasks
  • Leverage a variety of open source text and image models
  • Stay abreast of research — we will have budget for you to attend conferences
  • Shape our technical and hiring strategy alongside the founding team

You:

  • Have experience with AI agents, RLHF or reinforcement learning (even in academic projects/internships)
  • Are extremely comfortable in Python and ML frameworks
  • Have a builder mindset, whether through research projects, internships, side projects, or production systems
  • Can make independent progress on shipping user-facing features
  • (Bonus) Have an advanced degree
  • (Bonus) Have started a company or been early at a startup
  • A note on seniority: We believe in slope over y intercept, and are open to a broad range of experiences and seniority.

Why us?

  • Learning & Growth: Direct mentorship from founders who've built Dover (raised $23M) and Heap ($960M valuation, acquired). You'll learn how to build and scale transformative products from people who've done it.
  • Impact: The team is small and will stay small. We aspire to a very high revenue to headcount ratio. Every engineer directly shapes the product and company trajectory. No layers, no politics, just building.
  • Ownership: We're a high-trust environment where you'll own significant projects from day one, with support when you need it.
  • Ambition: We're redefining who can use design tools and how they work, with a massive potential audience and the technical challenges to match.
  • Speed: We move incredibly quickly. You'll ship more in a month here than most engineers ship in a year.
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