Senior R&D Lead – AI/ML Engineer
17 hours ago
We are seeking an accomplished
Senior R&D Lead – AI/ML Engineer
to spearhead the development and integration of advanced Artificial Intelligence solutions across our simulation platforms. This role demands deep domain expertise, strategic technology vision, and the ability to lead multidisciplinary engineering teams. The ideal candidate will architect next-gen AI/ML frameworks to enhance training realism, adaptability, and data-driven performance evaluation within military simulation systems.
Key Responsibilities
- Lead end-to-end design, development, and integration of
AI/ML models
to enhance simulation realism, trainee behavior understanding, and adaptive training responses. - Develop
Reinforcement Learning (RL)
solutions for intelligent opponents, scenario adaptation, and real-time policy optimization. - Architect and deploy
Deep Neural Network
models using
transformers, attention mechanisms, and multi-modal architectures
(vision + language + decision). - Implement and optimize
Large Language Models (LLMs)
within relevant training and decision-support modules. - Ensure
real-time performance, safety, and reliability
of AI modules, especially under contested or adversarial simulation environments. - Uphold
AI ethics, safety, and compliance
with defense standards and autonomous systems regulations. - Design and maintain
evaluation and scoring models
to assess trainee progress based on behavioral, accuracy, and situational performance metrics. - Work closely with cross-functional hardware, software, simulation, and defense domain teams for seamless AI system integration.
- Continuously assess emerging AI advancements and convert research outputs into
production-grade solutions
. - Lead and mentor a team of AI engineers, fostering an environment of innovation and technical excellence.
- Oversee the
data pipeline strategy
– collection, annotation, preprocessing, and validation workflows. - Collaborate with Defense stakeholders, SMEs, and internal leadership to align technological development with operational requirements.
Required Qualifications
- Master's or PhD in
Computer Science, Artificial Intelligence, Machine Learning
, or related fields. - 8+ years of hands-on experience in AI/ML
, with strong expertise in
Deep Learning, Reinforcement Learning, and Multi-Modal architectures
. - Strong command of
Neural Network architectures
, including
Transformers and attention-based models
, and practical deployment experience with
LLMs
. - Proven experience implementing
Reinforcement Learning algorithms
, particularly in environments requiring
real-time decisions and evaluative feedback loops
. - Proficiency in
Python
,
OpenCV
, and frameworks such as
PyTorch
,
TensorFlow
,
Stable Baselines3
,
Ray RL
, and
OpenAI Gym/Gymnasium
. - Experience in
defense / military / aerospace / high-reliability simulation systems
is highly desirable. - Demonstrated leadership ability in managing
cross-functional engineering teams
and delivering
large-scale AI systems
to production. - Strong analytical mindset with the ability to evaluate, benchmark, and optimize competing AI methodologies.
Preferred Attributes
- Exposure to embedded ML in real-time training platforms.
- Experience with tactical behavior modeling, sensor fusion, or agent-based simulation.
- Publications, patents, or conference contributions in AI/ML.
-
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