AI Engineer

Twin Prime • New York, NY

21d • Onsite

About The Position

Twin Prime is an AI lab focused on reasoning in the physical world, particularly in defense and security settings. The company builds architectures that reason across complex sensor modalities in real time and is headquartered in New York City, with an expanding presence in Athens, Greece.

The AI Engineer combines machine learning knowledge with software engineering skills to turn research into reliable, deployable systems. Working closely with researchers and software engineers, the engineer implements modeling approaches, builds training and evaluation pipelines, and brings models into production. The role spans experimentation, model optimization, and systems integration, including video understanding, spatial reasoning, multimodal learning, complex sensor processing, and reproducible research workflows.

Requirements

• Hands-on experience training, fine-tuning, evaluating, and deploying deep learning models in research or production environments.
• Strong programming skills in Python and experience with PyTorch or a comparable deep learning framework.
• Solid understanding of deep learning fundamentals, including model architectures, optimization, and evaluation.
• Experience in computer vision, multimodal learning, generative modeling, or related areas.
• Ability to translate research papers and experimental ideas into working, maintainable code.
• Ability to diagnose problems across data, model behavior, and system performance.
• Comfort working closely with researchers and engineers on open-ended technical problems.

Nice To Haves

• Experience with distributed training or large-scale data pipelines.
• Experience with model compression, quantization, inference runtimes, or edge deployment.
• Familiarity with video, 3D, spatial, or other sensor modalities.
• Experience building performance-critical software in C++ or CUDA.

Responsibilities

• Implement and adapt models for video understanding, spatial reasoning, and multimodal learning.
• Build data processing, training, and evaluation pipelines.
• Design experiments, analyze model behavior, and translate findings into improvements.
• Optimize inference performance, memory usage, and deployment on constrained hardware.
• Integrate models into reliable systems that process complex sensor data in real time.
• Build tools that make research workflows reproducible and accelerate the path from prototype to deployment.
• Work closely with researchers and software engineers to implement modeling approaches and bring models into production.

What This Job Offers

• Job Type: Full-time
• Education Level: No Education Listed