Machine Learning Engineer

2 weeks ago

Arlington, United States Royce Geospatial Full time

Job Description

Why Choose Royce Geo

We're not your typical government contracting company, nor do we want to be. At Royce Geo, we live for building durable and long-lasting relationships with our clients, providing exceptional service with a CAN'T QUIT / WON'T QUIT attitude. We are creating a culture of winning, optimism, FUN, and caring for the person next to you. If you want to work in a real team environment and share the wealth and satisfaction of providing real value to your customer, then this company may be just for you.

Royce Geo prides ourselves in our values-first approach. Our values of Accountability, Attitude, Communication, Innovation, and Leadership are integrated into how we approach problems, gui de our interactions with others, and create the framework for our culture. We recognize and reward our team members that champion these attributes.

We offer a competitive benefit package that is designed to attract and retain exceptional talent. We take care of our team members from multiple facets including health, financial, and well-being programs:

Robust health plan including medical, dental, and vision

Health Savings Account with company contribution

Annual Paid Time Off and Paid Holidays

Paid Parental Leave

401k with generous company match

Training and Development Opportunities

Award Programs

Variety of Company Sponsored Events

Position Summary:

As a Machine Learning Engineer, youll deliver simple solutions to complex. Here, you'll tailor cutting-edge solutions to the unique requirements of our clients. Youll R api dly prototype containerized multimodal deep learning solutions and associated data pipelines to enable GeoAI capabilities for improving analyticworkflows and addressing key intelligence questions. You will be at the cutting edge of implementing State-of-the-Art (SOTA) Computer Vision (CV) and Vision Language Models (VLM) for conducting image retrieval, segmentation tasks, AI -assisted labeling, object detection, and visual question answering using geospatialdata sets such as satellite and aerial imagery, full-motion video (FMV), ground photos, and OpenStreetMap.

Required Qualifications:

Requires an active TS/SCIClearance

Bachelor or Master' Degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or equivalent experience in lieu of degree.

8+ years of relevant experience.

Role will be a hybrid remote role with up to the 3 days a week on a government site.

Demonstrated experience applying transfer learning and knowledge distillation methodologies to fine-tune pre-trained foundation and computer vision models to quickly perform segmentation and object detection tasks with limited training data using satellite imagery.

Demonstrated professional or academic experience building secure containerizedPython applications to include hardening, scanning, automating builds using CI/CD pipelines.

Demonstrated professional or academic experience using Python to queryy and retrieve imagery from S3 compliant API 's perform common image preprocessing such as chipping, augment, or conversion using common libraries like Boto3 and NumPy.

Demonstrated professional or academic experience with deep learning frameworks such as PyTorch or Tensorflow to optimize convolutional neural networks (CNN) such as ResNet or U-Net for object detection or segmentation tasks using satellite imagery.

Demonstrated professional or academic experience with version control systems such as Gitlab.

Demonstrated experience leveraging CUDA for GPU accelerated computing.

Desired skills and abilities:

Demonstrated professional or academic experience with the HuggingFace Transformers library and hub.

Demonstrated experience with OpenShift and container orchestration within Kubernetes using Helm, Kubectl, Kustomize, or Operators.

Demonstrated*experienc *with Vision Transformers (ViT) such as DINO or DeiT.

Demonstrated academic or professional experience communicating methodological choices and model results.

Demonstrated experience with verification and validation test benches.

Demonstrated experience with Explainable AI (XAI) techniques.

Demonstrated experience with Open Neural Net Exchange (ONNX).

EEO Statement

Royce Geo. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran and will not be discriminated against on the basis of disability. Anyone requiring reasonable accommodations should emailrecruiting@roycegeo.comwith requested details. A member of the HR team will respond to your request within 2 business days.

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