AI ML Engineer

What you'll work on

Our ideal candidate is an AI/ML engineer with experience working in research teams prototyping and developing AI/ML algorithms. This candidate will be joining our team of AI/ML engineers and researchers to apply cutting-edge AI/ML algorithms in a variety of domains to the mission needs of our customers.

As an AI/ML Engineer, your responsibilities include:

• Working as part of a small team consisting of developers and researchers to implement machine learning algorithms to solve a broad set of challenges for our various customers
• Analyzing large multi-domain datasets such as images, text, and/or graph data to identify statistically relevant features to build models that provide analysts with actionable data
• Using cloud services to train and deploy ML models
• Reviewing relevant publications to understand and apply cutting edge concepts to defense and commercial applications
• Writing technical documentation supporting code, program capabilities, and user-guides

What we're looking for

Required:

• Effective communicator with the ability to write and present technical reports
• Experience with Python and any of the following Python data science / machine learning libraries: Pandas, scikit-learn, TensorFlow, Keras, Pytorch
• Experience with one or more of the following:

  • Applying unsupervised and/or supervised machine learning techniques
  • Applying and/or developing algorithms based in statistical analysis
  • Analyzing large datasets and building models to perform inference
• BS in machine learning, computer science, mathematics, or relevant fields
• 2+ years of experience developing AI/ML applications, data science, and/or algorithm development
• Active TS/SCI with Poly U.S. Government Security Clearance

Desired:

• MS or PhD in machine learning, computer science, mathematics, or relevant fields
• Experience leading an interdisciplinary team of researchers and software developers
• Experience with any of the following AI/ML domains:

  • Large Language Models and experience identifying ways to incorporate them into new areas and applications
  • Object detection algorithms such as YOLO and Faster-RCNN
  • Natural Language Processing algorithms such as Transformers and RNNs
  • Applying Transformer-based architectures to domains in other areas outside of NLP such as computer vision
  • Generative Adversarial Networks and Variational Autoencoders
  • Reinforcement learning and familiarity with OpenAI Gym, RLlib, and Stable Baselines
  • Applying clustering algorithms and/or deep neural networks to real life problems
  • Implementing tracking & fusion and pattern-of-life algorithms
• Experience with Machine Learning libraries and frameworks such as Hugging Face and LangChain
• Experience with Linux
• Familiarity with using AWS cloud computing resources such as EC2, S3, Lambda, etc.
• Experience with any of the following additional languages: C++, Java, and/or C#
• Experience implementing algorithms on the GPU in Python or C++ using CUDA and other CUDA libraries
• Experience with implementing tracking and fusion, and pattern-of-life algorithms
• Experience in application deployment, virtualization, and containerization
• Experience working with various Remote Sensing datasets (e.g. EO/OPIR/SAR images, passive RF, etc.)
• Experience shaping and writing proposals

*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.