Job Description

Job Summary
We are seeking a Machine Learning Engineer to support a newer, 10 year contract in  Springfield, VA. This position requires a TS/SCI clearance and  eligibility to obtain a CI polygraph. 

In this position you will r apidly prototype containerized multimodal deep learning solutions and associated data pipelines to enable GeoAI capabilities for improving analytic workflows 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 geospatial datasets such as satellite and aerial imagery, full-motion video (FMV), ground photos, and OpenStreetMap. 

Needed Skills and Experience:

• 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. 
• Professional or academic experience building secure containerized Python applications to include hardening, scanning, automating builds using CI/CD pipelines. 
• 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. 
• 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. 
• Experience with version control systems such as Gitlab. 
• Experience leveraging CUDA for GPU accelerated computing. 

Desired Skills:

• 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 experience 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).

Education/Qualifications:

• Bachelors Degree and 6+ years of experience or an equivalent years of education and years of experience 
• Active TS/SCI clearance and eligibility to obtain a CI polygraph

Benefits and Perks

Compensation

• Industry competitive salary well above market average
• 401K plan with 4% company match, immediately fully vested
• Referral bonuses up to $5,000

100% company-paid benefits

• Cigna OAP deductible Medical plan for employee + family
• Vision and Dental plan for employee + family
• Short Term Disability for employee
• Long Term Disability for employee
• Life Insurance for employee

Flexible Paid Time Off Policy

• 180 hours (minimum) per year of PTO with additional time at manager discretion
• 10+ Company Holidays per year
• 6 weeks paid maternity and paternity leave
• Flexible work environment to accommodate commuting, family and personal schedules

Career Growth

• Company sponsored training and certifications
• No questions asked professional/business/technical book reimbursement
• Company paid training and conference attendance and travel expenses

Company Overview
Innovative Data Solutions (IDS) is a small business specializing in engineering and supporting mission critical IT infrastructure for the US Government Intelligence, Defense and Homeland Security communities.

Established in 2008, IDS has 15 years of experience delivering IT solutions to the Federal market.  We’re a small company of technology enthusiasts and we thrive on exceeding expectations.  We specialize in Hybrid Cloud Infrastructure, Enterprise Storage, High Performance Computing, Cybersecurity and Data Analytics.  Across these technology areas we provide full lifecycle services: strategy, design, implementation and operations.

IDS engineers are based in Washington, DC and St. Louis, MO and are experienced working with US Government installations across the US, Europe and Asia.

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