Job Description
Open Talent
Founding AI/ML Engineer / Startup / $500k+ / NYC
Open Talent • New York, NY, United States • via LinkedIn
24 hours ago
$3.5L–$5.5L a year
Full–time
Apply on LinkedIn
Apply on BeBee
Apply on Jobright
Apply directly on AI Jobs At Companies Building With AI
Job highlights
Identified by Google from the original job post
Qualifications
Deploying LLM-based systems at scale (Llama, Mistral, GPT-4, Claude)
Retrieval optimisation - hybrid search (BM25 + vector), reranking, caching
Evaluation - recall@k, precision@k, groundedness, hallucination metrics
16 more items(s)
Benefits
Up to $500,000+ base salary + equity
Hybrid in NYC
Tight-knit, high-output team
2 more items(s)
Responsibilities
You’ll own & scale a RAG-driven AI system powering critical aerospace operations
Expect to tackle retrieval quality, latency bottlenecks, & eval-driven fine-tuning head-on for the most innovative & exciting real-time systems in Aerospace today
Own the LLM pipeline end-to-end – retrieval → evaluation → fine-tuning
4 more items(s)
Job description
Founding AI/ML Engineer / (LLMs / RAG / Agentic Systems) / NYC / $500k+ Equity
We’re hiring for a world class team at one of the fastest growing & most innovative next-gen aerospace AI companies in North America. They're building LLMs, RAG & high-performance AI systems to power mission-critical operations in defence & space.
Only the top 0.1% of America's AI Engineers can do this. If you’ve buil...
Report this listing
Open Talent
Founding ML Engineer / Series A / NYC / $250k + Founding Equity
Open Talent • New York, NY, United States • via LinkedIn
24 hours ago
$2L–$2.5L a year
Full–time
Apply on LinkedIn
Apply on Jobright
Apply on Mokaru
Job highlights
Identified by Google from the original job post
Qualifications
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
7 more items(s)
Benefits
Comp: $250k - $500k+ base + Founding Member Equity
Comp: $250k - $500k+ base + Founding Equity
Process: 1 week
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
8 more items(s)
Job description
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.
Founding AI/ML Engineer / Startup / $500k+ / NYC
Open Talent • New York, NY, United States • via LinkedIn
24 hours ago
$3.5L–$5.5L a year
Full–time
Apply on LinkedIn
Apply on BeBee
Apply on Jobright
Apply directly on AI Jobs At Companies Building With AI
Job highlights
Identified by Google from the original job post
Qualifications
Deploying LLM-based systems at scale (Llama, Mistral, GPT-4, Claude)
Retrieval optimisation - hybrid search (BM25 + vector), reranking, caching
Evaluation - recall@k, precision@k, groundedness, hallucination metrics
16 more items(s)
Benefits
Up to $500,000+ base salary + equity
Hybrid in NYC
Tight-knit, high-output team
2 more items(s)
Responsibilities
You’ll own & scale a RAG-driven AI system powering critical aerospace operations
Expect to tackle retrieval quality, latency bottlenecks, & eval-driven fine-tuning head-on for the most innovative & exciting real-time systems in Aerospace today
Own the LLM pipeline end-to-end – retrieval → evaluation → fine-tuning
4 more items(s)
Job description
Founding AI/ML Engineer / (LLMs / RAG / Agentic Systems) / NYC / $500k+ Equity
We’re hiring for a world class team at one of the fastest growing & most innovative next-gen aerospace AI companies in North America. They're building LLMs, RAG & high-performance AI systems to power mission-critical operations in defence & space.
Only the top 0.1% of America's AI Engineers can do this. If you’ve buil...
Report this listing
Open Talent
Founding ML Engineer / Series A / NYC / $250k + Founding Equity
Open Talent • New York, NY, United States • via LinkedIn
24 hours ago
$2L–$2.5L a year
Full–time
Apply on LinkedIn
Apply on Jobright
Apply on Mokaru
Job highlights
Identified by Google from the original job post
Qualifications
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
7 more items(s)
Benefits
Comp: $250k - $500k+ base + Founding Member Equity
Comp: $250k - $500k+ base + Founding Equity
Process: 1 week
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
8 more items(s)
Job description
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.
💡 Quick Summary
Seeking a career-building opportunity? The Founding ML Engineer position is now open for candidates interested in the IT Engineer & Developer Jobs sector. This role in New York City offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in IT Engineer & Developer Jobs is a plus.
