AI/ML Engineer III
Job in
Englewood, Arapahoe County, Colorado, 80112, USA
Listed on 2026-07-11
Listing for:
DP Professionals
Full Time
position Listed on 2026-07-11
Job specializations:
-
Software Development
AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Job Description & How to Apply Below
Work location:
Onsite in Englewood, CO
Duration: 4 months
Terms: W2 contract
Work authorization: US Citizen
Position description:
- This Engineer serves as the technical lead for AI/ML development on a fast-paced team prototyping new technologies – a Joint Task Force team
- The charter is to identify, test, develop and deploy new products to meet current and future operational challenges, and as an AI/ML Engineer III on this team, you will serve as the primary driver for AI/ML development projects focused on autonomy, perception systems, analytics developing rapid proof-of-concept builds and performing demonstrations.
- This role requires not only advanced machine learning expertise, but also the ability to operate with high autonomy, set technical direction and develop technical requirements to meet high-level objectives, and mentor JTF team engineers who are developing and growing their own AI/ML skillsets.
- This role will bridge the gap between high-level vision provided by senior technology directors and help set and accomplish day-to-day execution performed alongside software, systems, and other subject matter experts. You will ensure that AI/ML efforts are technically sound, aligned with mission objectives, and deliverable within rapid R&D timelines.
- 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
- Lead the design and development of advanced machine learning models, including deep neural networks, reinforcement learning systems, and generative AI algorithms, to solve complex problems.
- Architect scalable AI/ML systems that can integrate seamlessly with existing software and hardware platforms. Provide guidance on the selection of tools, frameworks, and infrastructure.
- Translate high-level conceptual guidance from leadership into actionable requirements, designs, roadmaps, and technical approaches.
- Collaborate with other engineer functions, hardware teams, product subject matter experts, and data scientists to align AI/ML solutions with mission-specific requirements and constraints.
- Shape system-level behavior and technical tradeoffs for AI/ML prototypes when requirements are evolving or ambiguous.
- Architect and build end-to-end AI/ML prototypes quickly, including data ingestion, feature engineering, training pipelines, model deployment and evaluation.
- Work with Project Engineer/Project Manager to identify and manage technical risks, develop mitigation paths, and scope prototype schedule and manpower requirements.
- Coordinate with existing product engineering teams to integrate AI/ML prototype components into existing SNC products and/or larger autonomous systems and platforms.
- Develop and oversee robust validation and testing frameworks to ensure that AI/ML models meet performance, safety, and compliance standards in real-world scenarios.
- Coach engineering peers, providing technical guidance and fostering a collaborative, innovative team environment.
- Stay current with emerging AI/ML technologies and propose innovative solutions to address new and existing challenges in the aerospace and defense domain.
- Communicate technical concepts, project progress, and outcomes to stakeholders, including leadership and external partners, in a clear and concise manner.
- Independently train, fine-tune, and optimize advanced AI architectures (including transformers) for complex applications.
- Apply a broad range of AI/ML techniques (supervised, unsupervised, reinforcement, generative) to solve domain-specific challenges.
- Lead the development and integration of signal processing, computer vision,…
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