AI Researcher — Perception & Multimodal Learning

Momi US

New York (NY)

On-site

USD 200,000 - 300,000

Full time

5 days ago
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Job summary

Momi US is seeking an AI Researcher specializing in perception and multimodal learning to advance real-time inference across sensor data in deployment settings.

You will bridge research and production, shipping models that reason about the physical world, with an on-site role in New York City. Candidates should have PhD-level research or equivalent industry experience, and a strong Python/PyTorch background.

Qualifications

  • PhD-level research or equivalent experience in academia or industry.
  • Strong publication record or shipping perception/ML systems in production.
  • Fluency in Python and modern deep learning frameworks (PyTorch).

Responsibilities

  • Bridge research and deployment; build models that operate in real time on multiple sensor modalities.
  • Ship perception/ML systems into production used in real-world scenarios.

Skills

Python
PyTorch
Real-time systems
Production deployment

Education

PhD-level research or equivalent

Tools

PyTorch
Python

Job description

AI Researcher — Perception & Multimodal Learning

Location: New York City, USA (on-site) Employment type: Full-time Compensation: $200,000 – $300,000 + equity Seniority: Senior / PhD-level

About the role

We are recruiting on behalf of a frontier AI lab building models that reason about the physical world — real-time inference over complex sensor data, in national security settings. The company is headquartered in New York City, recently funded, and founded by researchers and engineers from leading frontier model labs and quantitative trading firms. The team is small and growing, and this hire will work directly on the core research that powers the models deployed in the field. The client's identity is shared with candidates during the first call.

The role

We are looking for researchers with backgrounds in computer vision, multimodal learning, generative modeling, or related areas. You'll work at the intersection of research and deployment: the models you build reason across multiple sensor modalities in real time and ship into the real world, not just papers.

Research areas include:
  • 3D and spatial reasoning
  • Generative modeling
  • Structured environment modeling
Ideal candidates have
  • PhD-level research experience in computer vision, multimodal learning, generative modeling, or a related area — or equivalent experience building perception systems in industry or applied research environments
  • A strong publication record or a track record of shipping perception/ML systems in production
  • Fluency in Python and modern deep learning frameworks (PyTorch)
  • Comfort working in a small, fast-moving team where research goes to deployment quickly
  • Ability to work on-site in New York City (relocation candidates welcome)
  • US Citizen or Green Card holder
  • Ground-floor role at a recently funded frontier AI lab
  • Direct impact: your research runs in real time on real sensors in the field
  • Work alongside researchers and engineers from leading frontier model companies and quant funds
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