AI Research Engineer
AI Research Engineer
Posted 14 days ago
SENIORITY
Senior
About the role
- Research, design, and build advanced AI and machine learning systems
- Develop models that reason across video, images, text, structured data, and other signals
- Work on computer vision, multimodal models, vision-language models, temporal reasoning, and behavioral understanding
- Read and implement ideas from the latest AI research and evaluate whether they can solve real operational problems
- Train, fine-tune, evaluate, and optimize machine learning models
- Design experiments and rigorous evaluation frameworks for complex real-world datasets
- Build prototypes quickly and turn successful research into production systems
- Work closely with engineers, AI researchers, and national security experts
- Help define PREDICTION’s technical direction as we develop new AI capabilities
- Strong experience in machine learning, deep learning, computer vision, multimodal AI, or related fields
- Excellent Python and PyTorch skills
- Experience building and training neural networks, not simply integrating third-party AI APIs
- Experience with one or more of the following: computer vision, video understanding, VLMs, transformers, multimodal learning, object detection, tracking, temporal modeling, sensor fusion, or LLMs
- Strong understanding of modern machine learning research and experimentation
- Ability to move between research, experimentation, and production engineering
- Strong problem-solving skills and willingness to work on difficult, open-ended technical problems
- Bachelor’s, Master’s, or PhD in Computer Science, Machine Learning, Artificial Intelligence, Robotics, Applied Mathematics, Electrical Engineering, or a related technical field Strong Plus
- Publications at conferences such as CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, AAAI, or KDD
- Experience at an AI research lab, defense technology company, national laboratory, or advanced technology organization
- Experience with real-time video, edge AI, sensor data, geospatial data, autonomous systems, or intelligence applications
- Experience deploying ML models into production or resource-constrained environments
- Active or previous U.S. government security clearance
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
