Job Description
Corvid Technologies is seeking qualified AI/ML Engineer candidates to join our Missile Defense Group (MDG) in Huntsville, Alabama. As an AI/ML Engineer, you will play a crucial role in our team, utilizing your expertise in data analytics and algorithm development to support the integration and analysis of diverse data sources and develop machine learning, data mining, and statistical algorithms for pattern recognition and anomaly detection. The ideal candidate will have a strong academic background in a qualitative field such as Computer Science, Engineering, Physics, Statistics, or a related field.
The Missile Defense Group supports the Missile Defense Agency (MDA) along with armed services organizations within the Navy and Air Force. The MDG portfolio covers a variety of modeling and simulation efforts, algorithm and software development activities, and growing programs aimed at developing hardware for missile defense systems. Technical disciplines within the Corvid team include mechanical, aerospace, and electrical engineering, physics, mathematics, and computer science/software engineering. Corvid executes programs as the prime contractor (SBIR, OTA, etc.) and as a subcontractor to large primes.
Responsibilities:
Work independently and as part of a team to meet project deadlines and deliver high-quality results
Improve upon current methods for the automated processing and exploitation of large data sets
R&D on projects involving the exploitation of data from sensors including investigation of state-of-the-art machine learning methods, specifically generative AI/ML models
Improving, optimizing, and tuning existing AI/ML models as well as developing new algorithms and models from scratch
Software design, software development, and debugging/issue resolution
Requirements:
BS degree in physics, mathematics, statistics, engineering, computer science, or a related field
Strong verbal, written, and organizational skills for effective communication and documentation
Strong foundation in software development and experience with Python, Java, and/or C++
Knowledge of Machine Learning APIs, such as TensorFlow or PyTorch
A working knowledge of Artificial Neural Networks (ANNs), Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), or other related architectures
Experience in applying core Machine Learning methodologies: Regression, Classification, Clustering, Decision Trees, Dimensional Reduction, Neural Networks & Deep Learning, Feature Engineering
Self-motivated with the ability to work both independently and in a team-oriented environment
U.S. Citizenship is required
The ability to obtain and maintain a Department of Defense security clearance (Active SECRET clearance or above is preferred)
Preferred Qualifications:
M.S. or Ph.D. degree in physics, mathematics, statistics, engineering, computer science, or a related field
Demonstrated experience applying current or cutting-edge AI/ML technologies ML for natural language processing, computer vision, reinforcement learning, generative modeling, or related topics
Background:
Corvid Technologies is an engineering firm specializing in high-fidelity, computational modeling and simulation. With a team of over 300 engineers and scientists, three-fourths of whom hold advanced degrees, Corvid is at the forefront of technological innovation. We offer a fast-paced and flexible work environment that encourages creativity and collaboration. Corvid Technologies provides diverse research opportunities and a creative work environment within a small team while offering access to cutting edge computational technologies and resources.
Why Corvid?
We value our people and offer employees a broad range of benefits. Benefits for full-time employees include:
Paid gym membership
Flexible schedules
Blue Cross Blue Shield insurance including Medical, Dental and Vision
ESOP (Employee stock ownership program) matched up to 6%
Three weeks starting PTO; increasing with tenure
Continued education and training opportunities
Uncapped incentive opportunities
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.
Full-time