Research Engineer - Applied Machine Learning

AIToolboard

United States

On-site

USD 120,000 - 170,000

Full time

14 days+

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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

Jobs / Research Engineer - Applied Machine Learning

Research Engineer - Applied Machine Learning

Full-time

About the Role

Research Engineer – Applied Machine LearningNovateur 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 theart 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.
  • U.S. Citizen or Permanent Resident.
Preferred
  • Experience with geospatial data (PostGIS, GeoJSON, QGIS).
  • Familiarity with Kubernetes and distributed data systems.
Why Novateur?

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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