AI Research Scientist

Barrington James

New Jersey

On-site

USD 90,000 - 120,000

Full time

14 days+

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Job summary

A leading technology firm in New Jersey is looking for an experienced AI Research Scientist with expertise in Deep Reinforcement Learning and Edge AI optimization. This role involves designing algorithms for real-time intelligent systems and deploying models on NVIDIA platforms. The ideal candidate will have strong skills in deep learning frameworks like PyTorch or TensorFlow, and experience in 3D computer vision or robotics is a plus. Join to push innovative models into complex systems and real-world applications.

Qualifications

  • Strong foundations in deep learning, experience in 3D computer vision or robotics is a major advantage.
  • Experience with fast prototyping and GPU programming.
  • Passion for reducing inference times and optimizing models.

Responsibilities

  • Design algorithms for high-stakes, real-world environments.
  • Lead research in advanced Deep RL methods.
  • Deploy models on edge devices using TensorRT and CUDA.

Skills

Deep learning
PyTorch
TensorFlow
GPU programming
3D computer vision
Robotics

Tools

NVIDIA IGX
Jetson platforms
TensorRT
CUDA
C++

Job description

Direct message the job poster from Barrington James

An exceptionally talented AI Research Scientist required to work at the intersection of Deep Reinforcement Learning, Edge AI, and real-time intelligent systems. This is an opportunity to design algorithms that operate directly in high-stakes, real-world environments, not just in simulation.

You’ll lead research in advanced Deep RL methods to build agents capable of decision-making, tracking, and adaptive navigation in dynamic settings. Your work will span 2D/3D perception, state estimation, and model-based reasoning, with the chance to bring new methodologies into production.

A core part of the role is Edge AI optimization. You’ll deploy models on NVIDIA IGX and Jetson platforms, using TensorRT, CUDA, and C++ to achieve real-time performance under tight latency constraints. If you’re passionate about reducing inference times, optimizing memory footprints, and pushing models to the edge, you’ll thrive here.

We’re looking for candidates with strong foundations in deep learning, PyTorch or TensorFlow, GPU programming, and fast prototyping. Experience in 3D computer vision, medical imaging, or robotics is a major advantage.

This is a role for researchers who enjoy building cutting-edge models, and seeing them used in complex physical systems.

If pushing Deep RL beyond the lab excites you, we’d love to connect.

Seniority level
  • Mid-Senior level
Employment type
  • Full-time
Job function
  • Research and Engineering
Industries
  • Robotics Engineering and Medical Equipment Manufacturing

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