Artificial Intelligence Engineer

About the Company

Armada is an edge computing startup that provides computing infrastructure to remote areas where connectivity and cloud infrastructure is limited, as well as areas where data needs to be processed locally for real-time analytics and AI at the edge. We’re looking to bring on the most brilliant minds to help further our mission of bridging the digital divide with advanced technology infrastructure that can be rapidly deployed anywhere.

To ensure fairness and transparency, the starting base salary range for this role for candidates in the U.S. are listed below, varying based on location experience, skills, and qualifications. In addition to base salary, this role will also be offered equity and subsidized benefits (details available upon request).

About the Role

At Armada, we’re unlocking the limitless potential of AI to transform defense operations and save lives in some of the most remote locations on Earth. Armada offers a unique opportunity to tackle real-world AI and ML challenges on a global scale. We are actively seeking fearless AI Engineers with hands-on expertise in areas such as real-time computer vision, statistical machine learning, natural language processing, transformers, control and navigation, reinforcement learning, and large-scale distributed AI systems.

Ideal candidates will have strong skills in Digital Signal Processing (DSP), machine learning (ML), deep learning (DL), and real-time computer vision. You will be responsible for developing ML/DL models tailored to specific challenges, preparing and testing datasets, evaluating model performance, and deploying solutions into production environments. Experience with containerization, microservices architecture, and independently deploying ML models into production is essential.

If you are a self-driven individual passionate about using AI to protect our nation and its allies, we’d love to hear from you. Armada provides an unparalleled opportunity to engage with some of the most exciting AI and ML challenges in the world. Join our dynamic AI Engineering team as we deliver disruptive edge-computing systems that enable autonomous learning, prediction, and adaptation from vast, real-time datasets.

As pioneers in high-performance, resilient computing for remote operations involving drones, autonomous vehicles, camera networks, robotics, conversational agents, and real-time monitoring systems, our vision is to empower AI systems to securely navigate the complexities of the real world. Our mission is to bridge the digital divide while delivering cutting-edge technology to support warfighters worldwide. Join us in fulfilling this ambitious mission!

Key Responsibilities

• Coding, data wrangling, data processing and visualization in a Command and Control (C2) environment
• Develop and maintain data-driven software solutions to support business needs
• Develop and implement Digital Signal Processing (DSP), Artificial Intelligence (AI), machine learning (ML), and Deep Learning (DL) models/tools to improve business processes. In some cases, leverage existing algorithms from academic or industrial research.
• Testing, evaluating the AI/ML/DL models, benchmarking their quality, and publishing the models, data sets, and evaluations.
• Deploying the models in production by containerizing the models.
• Translating business requirements into requirements for AI/ML/DL models.
• Working with customers and internal employees to refine the quality of the models.
• Establishing continuous learning pipelines for models with online learning or transfer learning.
• Building and deploying containerized applications on the cloud or on-premise environments

Required Qualifications

• BS or MS degree in electrical and computer engineering, computer science, mathematics, or a related technical field (or equivalent experience).
• 3+ years of experience in software development with strong programming skills in Python, Java, and/or C/C++.
• Familiarity with containers, numeric libraries, and modular software design.
• Hands-on expertise with both traditional statistical machine learning techniques and deep learning, including natural language processing models.
• Expertise in supervised, unsupervised, and transfer learning techniques.
• Extensive experience with machine learning algorithms and state-of-the-art deep neural network architectures (e.g., Transformers, CNN, R-CNN, RNN, BERT, GAN, autoencoders), and proficiency in developing or using major deep learning frameworks (e.g., PyTorch, TensorFlow).
• Proven experience in applying machine learning to solve real-world problems.

Preferred Experience and Skills

• Demonstrated experience in building, programming, and integrating software and hardware for autonomous or robotic systems.
• Proven ability to develop computationally efficient software that meets real-time performance requirements.
• Experience with container platforms such as Kubernetes.
• Strong analytical skills with a proactive, action-oriented approach.
• Excellent time management and organizational skills, thriving in a fast-paced, dynamic environment.
• Exceptional written and verbal communication skills.
• Strong teamwork and interpersonal skills.