AI/ML Engineer

AI/ML Engineer 1 Opening Englewood, CO onsite Pay: $68.16 Serve as primary day-to-day AI/ML expert & performer - other team members are AI/ML learners or strategic-level advisors Rapidly define architecture, technical direction, and technical requirements for new AI/ML initiatives and prototypes without regular direct technical oversight Help Program Manager/Project Engineer identify staffing, tooling, and data required to accomplish new AI/ML prototypes, help advise and manage technical risks during execution Play a key role in shaping the entire organization's growing AI/ML capability over the next several years Ability to mentor and "upskill" engineers with limited or developing AI/ML backgrounds. Experience delivering rapid prototypes or research models under tight schedule pressure. Comfort working with incomplete information and shaping requirements through experimentation. Strong communication skills for translating complex AI concepts to non-AI specialists. Bachelor's degree in computer science, mathematics, applied statistics, various engineering disciplines, or related STEM discipline 6+ years of experience in a related field. Relevant experience can be considered as a substitute for the required educational qualifications. In the absence of a degree, a minimum of 9 years of related experience is required. Higher level relevant degree may substitute for experience. Proficient in machine learning frameworks (e.g., TensorFlow, PyTorch) and skilled in implementing advanced AI/ML techniques, such as supervised, unsupervised, and reinforcement learning (e.g., PPO, Actor/Critic), as well as working with generative AI models (e.g., transformers). Proficient in developing, deploying, and optimizing AI/ML models, including ANNs, CNNs, and RNNs, for production applications. Contributed to the design and scaling of systems for larger datasets or environments with moderate complexity. Strong proficiency in programming languages such as Python, C++, C# or Java, with experience in building scalable AI/ML systems. Demonstrated experience leading teams or projects, including mentoring junior staff. Proven track record of deploying AI/ML models in production environments and optimizing them for real-world use cases. Knowledge of regulatory and cybersecurity requirements for AI/ML systems in aerospace and defense applications Qualifications We Prefer Experience building the AI/ML technical function of a small or maturing team. Familiarity with earlystage autonomy R&D efforts or multimodal sensor fusion research. Experience integrating ML models into embedded, realtime, or autonomous platforms. Demonstrated ability to establish ML engineering practices (MLOps, data versioning, model validation frameworks). Master's degree in Artificial Intelligence, Machine Learning, or related field. Experience leading teams or projects in aerospace and defense industries. Familiarity with cybersecurity and regulatory requirements. Proficient in Agile or DevOps workflows; active participant in iterative ML software development. Practical experience designing and implementing advanced ML techniques, such as clustering, dimensionality reduction, or generative modeling. Hands-on experience with GPU programming and using high-performance computing systems for ML workloads. Experience with at least one reinforcement learning or generative AI model (e.g., implementing GANs or Transformers). Able to analyze large-scale, heterogeneous datasets and apply advanced statistical and ML methods to real-world problems. Experience translating mission objectives into actionable system requirements, including HMI scenarios. Familiarity with hardware acceleration (e.g., CUDA, TensorRT) and introductory knowledge of edge AI or XAI.