AI/ML Engineer (TS/SCI with CI Poly) {S}

Summary

ARKA Group, L.P. is an advanced technologies company serving the U.S. military and intelligence community. They are seeking an AI/ML Engineer to develop AI/ML algorithms for various applications, working collaboratively with a team of engineers and researchers.

Responsibilities

• 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

Skills

• 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 CI Poly U.S. Government Security Clearance
• 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

Qualifications

Must Haves

• 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 CI Poly U.S. Government Security Clearance

Nice to Haves

• 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

Benefits

• Comprehensive medical/vision/dental insurance packages
• Company contributions to qualified HSA accounts
• 401k retirement plan with industry leading company contributions
• 3 weeks of vacation accrual per year plus time off for sick leave and unscheduled life events
• 13 paid holidays
• Upfront tuition assistance for approved degree programs
• Annual bonus program based on company and employee performance
• Company paid life insurance, AD&D, Short-Term and Long-Term disability insurance
• 4 weeks paid Parental Leave
• Employee assistance program (EAP)