Applied ML Research Engineer - Scalable Vision Systems

AIToolboard; United States; On-site; USD 120,000 - 170,000; Full time

Benefits offered by this job

Healthcare options

401(k) with employer match

Paid holidays and time off

Disability insurance

Life insurance

Job summary

Novateur Research Solutions in Northern Virginia is seeking a Research Engineer focused on Applied Machine Learning to push the state of the art in large-scale ML and multimodal reasoning. You will bridge research and deployment, turning novel ideas into robust, scalable systems for real-world use.

The role emphasizes building training and inference pipelines, collaborating with partners, and delivering practical AI solutions in a fast-paced R&D environment.

Qualifications

• BS or MS in CS/Engineering/Applied Math.
• Experience with PyTorch or TensorFlow and scalable training.
• Strong background in algorithms and software design.
• Excellent communication and technical writing skills.
• U.S. Citizen or Permanent Resident.

Responsibilities

• Prototype and optimize algorithms in computer vision and machine learning.
• Build scalable training and inference pipelines on cloud platforms (AWS EKS).
• Perform data curation, model evaluation, and system integration.
• Collaborate with academic and government research partners.

Skills

PyTorch

TensorFlow

Algorithms

Software Design

Communication

Technical Writing

Education

BS or MS in Computer Science, Engineering, Applied Math

Tools

Kubernetes

PostGIS

GeoJSON

QGIS

Job description

Novateur Research Solutions in Northern Virginia is seeking a Research Engineer focused on Applied Machine Learning to push the state of the art in large-scale ML and multimodal reasoning. You will bridge research and deployment, turning novel ideas into robust, scalable systems for real-world use.

The role emphasizes building training and inference pipelines, collaborating with partners, and delivering practical AI solutions in a fast-paced R&D environment.