Research Engineer - Applied Machine Learning

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

Research Engineer – Applied Machine Learning

Novateur stands for Innovation. We value creativity, vision, collaboration, and above all, ambition to innovate. Novateur Research Solutions is an R&D firm located in Northern Virginia, developing intelligent systems that push the boundaries of computer vision, AI, and large-scale learning.

We are seeking Research Engineers to advance the state of the art in large-scale machine learning, spatiotemporal modeling, and multimodal reasoning. Our projects span object tracking, re-identification, geo-localization, chemical and biological defense, and scene understanding. You will work at the intersection of software engineering and applied research, turning novel algorithms into robust, deployable systems.

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.

Requirements:

• 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.

Preferred:

• Experience with geospatial data (PostGIS, GeoJSON, QGIS).


• Familiarity with Kubernetes and distributed data systems.

Join a team that values creativity and initiative. Our engineers have freedom to innovate, collaborate with top researchers, publish research in major scientific conferences, and see their ideas deployed in impactful applications.

Company Benefits:

Novateur offers competitive pay and benefits comparable to Fortune 500 companies that include a wide choice of healthcare options with generous company subsidy, 401(k) with generous employer match, paid holidays and paid time off increasing with tenure, and company paid short-term disability, long-term disability, and life insurance.

We offer a work environment which fosters individual thinking along with collaboration opportunities within and beyond Novateur. In return, we expect a high level of performance and passion to deliver enduring results for our clients.