Research Engineer - Applied Machine Learning

Novateur Research Solutions

Virginia (MN)

On-site

USD 120,000 - 170,000

Full time

14 days+

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Benefits offered by this job

Competitive pay
Healthcare options
401(k) with employer match
Paid holidays and PTO
Disability and life insurance

Job summary

Novateur Research Solutions in Northern Virginia is seeking a Research Engineer to advance the state of the art in large-scale machine learning, focusing on computer vision, spatiotemporal modeling, and multimodal reasoning.

You will prototype algorithms, build scalable training and inference pipelines on AWS EKS, curate data, evaluate models, and collaborate with academic and government partners to deploy robust systems.

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 experience
Algorithms and software design
Communication and technical writing
Geospatial data (PostGIS, GeoJSON, QGS
Kubernetes
Distributed data systems

Education

BS or MS in Computer Science, Engineering, Applied Math, or related field

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.

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