Skip to content
mimi

Founding ML Engineer / Series A / NYC / $250k + Founding Equity

Open Talent

New York · On-site Full-time $200k – $250k/yr Today

About the role

Founding AI/ML Engineer (Production) - NYC - $250k-$500k+ + Founding Equity

We’re hiring for one of NYC’s top 10 robotics startups. If you’re an elite engineer looking to join an A squad-builders from SpaceX, Palantir, Google & Anduril - this is where you want to be.*

Most AI roles are currently focused on generating pixels or text. This team are using LLMs to command multi-ton autonomous machines.

Must be based in NYC & role requires US citizenship due to regulatory constraints.

We need a Founding AI/ML Engineer to build the production intelligence layer for autonomous heavy machinery. This isn't a research lab. We have real robots, real customers, and systems operating in the field 24/7. Your work won't just generate tokens; it will drive physical outcomes.

The Work

This is a 100% production role focused on critical AI infrastructure. You are responsible for the intelligence that allows multi-ton machines to act on complex environments. • Production LLMs: Fine-tuning and deploying models that handle mission-critical operational logic. • Systems & Infra: Building the RAG pipelines and data flywheels that power our fleet’s intelligence. • Evals & Determinism: Designing evaluation frameworks to ensure model outputs are safe and reliable enough for heavy hardware. • Problem Solving: Moving from raw telemetry to deployed models. You own the pipeline, the tuning, and the performance in the field.

The Team

You’ll be joining a high-density team from SpaceX, Palantir, and Anduril. We’ve stripped away the typical corporate friction-no bloated meetings or research for the sake of research. We hire for high agency and low ego. As a founding hire, you aren't just training models; you’re architecting the intelligence of the company.

What we're looking for

We want high-signal builders who are bored with "wrapper" apps and want to solve hard problems grounded in physics. • Production Grit: You’ve shipped ML systems at scale. You care about inference latency and reliability more than "vibe checks." • LLM Mastery: Deep experience with fine-tuning, RAG, and prompt engineering in high-stakes environments. • Systems Thinker: You understand the full stack. You know how to optimize models to run efficiently and how to build the infra that supports them. • High-Bar Pedigree: You’ve worked in environments where the standard for "production-ready" is exceptionally high.

Stack & Comp • Stack: Python, PyTorch, LLMs, RAG, Vector DBs, Kubernetes. • Location: NYC (Manhattan) - On-site/Hybrid. • Comp: $250k - $500k+ base + Founding Member Equity.

The Process:

1 Week & 0 Take-Homes We move as fast as we ship. We can go from first touch to offer in one week: • (Founders) Technical Deep Dive: A conversation about the most complex AI system you’ve actually shipped. • (Team)Practical Pairing: Solving a real-world production ML or data infra problem together. No Leetcode. • (Exec) Founding Team Chat: A focus on judgment, trade-offs & vision.

If you’re ready to put AI into the physical world, let’s talk.

TL;DR • Role: Founding AI/ML Engineer (Production) • Focus: Fine-tuning, Evals, and RAG for Robotics • Team: Ex-SpaceX, Palantir, Anduril, Google • Comp: $250k - $500k+ base + Founding Equity • Process: 1 week. 3 rounds.

Equal Opportunity

We're hiring for an Equal Opportunity Employer. • All our new jobs are posted here 1st:

linkedin.com/in/sufyanbashir/

Requirements

  • We want high-signal builders who are bored with "wrapper" apps and want to solve hard problems grounded in physics
  • You care about inference latency and reliability more than "vibe checks."
  • LLM Mastery: Deep experience with fine-tuning, RAG, and prompt engineering in high-stakes environments
  • Systems Thinker: You understand the full stack
  • You know how to optimize models to run efficiently and how to build the infra that supports them
  • High-Bar Pedigree: You’ve worked in environments where the standard for "production-ready" is exceptionally high
  • Stack & Comp
  • (Founders) Technical Deep Dive: A conversation about the most complex AI system you’ve actually shipped
  • (Team)Practical Pairing: Solving a real-world production ML or data infra problem together
  • No Leetcode

Responsibilities

  • Most AI roles are currently focused on generating pixels or text
  • You are responsible for the intelligence that allows multi-ton machines to act on complex environments
  • Production LLMs: Fine-tuning and deploying models that handle mission-critical operational logic
  • Systems & Infra: Building the RAG pipelines and data flywheels that power our fleet’s intelligence
  • Evals & Determinism: Designing evaluation frameworks to ensure model outputs are safe and reliable enough for heavy hardware
  • Problem Solving: Moving from raw telemetry to deployed models
  • You own the pipeline, the tuning, and the performance in the field
  • Production Grit: You’ve shipped ML systems at scale
  • Stack: Python, PyTorch, LLMs, RAG, Vector DBs, Kubernetes
  • (Exec) Founding Team Chat: A focus on judgment, trade-offs & vision
  • Focus: Fine-tuning, Evals, and RAG for Robotics

Benefits

Comp: $250k - $500k+ base + Founding Member EquityComp: $250k - $500k+ base + Founding EquityProcess: 1 week

Don't send a generic resume

Paste this job description into Mimi and get a resume tailored to exactly what the hiring team is looking for.

Get started free