Machine Learning Engineer Full-time

Machine Learning Engineer

Job Category: Engineering

Time Type: Full time

Minimum Clearance Required to Start: TS/SCI with Polygraph

Employee Type: Regular

Percentage of Travel Required: Up to 10%

Type of Travel: Continental US

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CACI is seeking a Machine Learning Engineer (Senior) to join our team to support our intelligence customer in Springfield, VA/St. Louis, MO. As a team, we will be responsible for developing and maintaining agency wide Platform as a Service (PaaS) capabilities deployed across multiple security domains utilizing Agile scrum methodologies. Tailoring cutting-edge solutions to unique requirements of our clients, we will support multiple tenants deploy a myriad of application stacks and data services. Be a part of something greater than yourself and make a lasting impact at CACI.

Rapidly 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.

Qualifications:

• Bachelor or Master’ Degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or equivalent experience in lieu of degree.
• Experience: 5+ years
• 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 containerized Python 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 and experience leveraging CUDA for GPU accelerated computing.
• Active TS/SCI w/ CI Poly

Desired Skills:

• Demonstrated professional or academic experience with the HuggingFace Transformers library, hub and 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 and Demonstrated academic or professional experience communicating methodological choices and model results.
• Demonstrated experience with verification, validation test benches; demonstrated experience with Explainable AI (XAI) techniques and experience with Open Neural Net Exchange (ONNX).
• Experience in building custom operators with the operator-sdk and developing Kubernetes Custom Resource Definitions (CRD) or API’s
• Go programming language experience

What We Can Offer You:

• We’ve been named a Best Place to Work by the Washington Post.
• Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives.
• We offer competitive benefits and learning and development opportunities.
• We are mission-oriented and ever vigilant in aligning our solutions with the nation’s highest priorities.
• For over 60 years, the principles of CACI’s unique, character-based culture have been the driving force behind our success.

What You Can Expect:

A culture of integrity.

At CACI, we place character and innovation at the center of everything we do. As a valued team member, you’ll be part of a high-performing group dedicated to our customer’s missions and driven by a higher purpose – to ensure the safety of our nation.

An environment of trust.

CACI takes pride in fostering a diverse and accessible culture where every individual feels supported to chart their own path. You’ll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality.

A focus on continuous growth.

Together, we will advance our nation’s most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground – in your career and in our legacy.

Your potential is limitless. So is ours.

Learn more about CACI here.

Pay Range: There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits. Learn more here.

Since this position can be worked in more than one location, the range shown is the national average for the position.

The proposed salary range for this position is:
$89,500-$188,000

CACI is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, age, national origin, disability, status as a protected veteran, or any other protected characteristic.