Associate AI Engineer Software/AI Engineer Software

Key Skills

Aartificial intelligence, Agile methodologies, Algorithms, CNNs, Deep Learning, Effective communication skills, Machine learning techniques, MLOps tools

Job Description

The Autonomous Intelligence & Robotics (AIR) Laboratory in Aurora, CO is seeking highly motivated AI Software Engineers to join our team. We have a state-of-the-art research facility where our team works on some of the most challenging problems related to AI/ML and Robotics. Research areas include Deep Signal Processing, Behavior/System Modeling, RF Processing, AI-based calibration, and ML OPS. We invite you to apply to this requisition so you can come in and learn about the exciting research we do and tell us about how you can help our team!

Successful candidates will demonstrate a broad skill set balanced between interpersonal and technical capabilities achieving sustainable quality products. They will have a track record as an effective communicator and problem solver who is able to develop and maintain good working relationships with internal and external stakeholders.

The selected candidates will work closely with other software engineers to accomplish the following: Define, develop, and deliver novel mathematical and statistical modeling and algorithm development to tackle the challenges of prediction, optimization, and classification. Apply machine learning algorithms to large sets of structured and unstructured data to solve a broad range of problems that include applications in pattern recognition, target detection and tracking, decision support systems, and robotic systems. Prototype advanced artificial intelligence techniques to stretch the capability of autonomous systems research and development programs. Design, develop, document, test and debug applications software and systems that contain logical and mathematical solutions. Collaborate with cross-functional team to deploy machine learning algorithms for testing and is in production systems. Regularly demonstrate progress to customers.

Basic Qualifications:

• Associate AI Software Engineer: Bachelor’s degree in computer science or related STEM degree from an accredited institution with a minimum of 0 year’s relevant experience.
• AI Software Engineer: Bachelor’s degree in computer science or related STEM degree from an accredited institution, with a minimum of 2 year’s relevant experience; Master’s degree in computer science or related STEM degree from an accredited institution with 0 years’ experience.
• Experience developing systems with AI/ML frameworks
• Possess general familiarity with applied machine learning concepts
• Possess general familiarity with computational and statistical learning theory
• Experience with engineering AI/ML solutions from conceptual specification to pipeline implementation
• Must be able to obtain and maintain a U.S. Government Top Secret security clearance (U.S. citizenship is a pre-requisite)

Preferred Qualifications:

• Experience developing systems with AI/ML frameworks and libraries such as PyTorch, TensorFlow, Keras, and Scikit-learn
• Development experience should span the ML pipeline and include: working with novel datasets, training and fine-tuning ML systems, modifying existing deep learning architectures as well as coding from architecture diagrams, and evaluating system performance using established and novel metrics and methods
• Ability to carry out rapid prototyping and proof-of-concept demonstrations
• Experience with microservice architectures and related software methods including containerization and container orchestration.
• Familiarity with explainable AI, adversarial AI, active learning, and third wave approaches to AI.
• Machine learning concepts including: multilayer perceptrons, CNNs, LSTMs, transformer models, unsupervised learning methods, reinforcement learning methods, as well as statistical modeling methods and graphical models
• Ability to effectively communicate system properties and results to technical staff as well as non-technical management and leadership stakeholders
• Demonstrated ability to work independently
• Experience mapping from novel problem spaces to the AI domain.
• Familiarity with signal processing, information theory, topological data analysis, or genetic algorithms.
• Demonstrated capability for applying AI methods to generate real-world solutions
• Experience working in Agile software development environment

Salary Range: $81,100 USD - $121,700 USD

Salary Range 2: $98,200 USD - $147,200 USD