Applied ML Research Engineer: Scalable Vision Systems

Novateur Research Solutions; Virginia (MN); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Healthcare options

401(k) with employer match

Paid holidays and PTO

Disability & life insurance

Job summary

Novateur Research Solutions seeks a Research Engineer to advance state-of-the-art in large-scale machine learning, spatiotemporal modeling, and multimodal reasoning. You will prototype and optimize computer vision and ML algorithms, building scalable training and inference pipelines on AWS EKS, and collaborating with academic and government partners.

The role emphasizes bridging software engineering with applied research, turning novel ideas into deployable systems with strong communication and

Qualifications

• BS or MS in Computer Science, Engineering, Applied Math, or related field.
• Experience with PyTorch or TensorFlow and scalable model training.
• Strong background in algorithms and software design.
• Excellent communication and technical writing skills.

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 or TensorFlow

Algorithms

Software design

Communication

Education

BS or MS in CS/Engineering/Applied Math

Tools

Kubernetes

Distributed data systems

PostGIS/GeoJSON (preferred)

Job description

Novateur Research Solutions seeks a Research Engineer to advance state-of-the-art in large-scale machine learning, spatiotemporal modeling, and multimodal reasoning. You will prototype and optimize computer vision and ML algorithms, building scalable training and inference pipelines on AWS EKS, and collaborating with academic and government partners.

The role emphasizes bridging software engineering with applied research, turning novel ideas into deployable systems with strong communication and