Tyto Athene, LLC · 2 hours ago
AI/ML Engineer - Mission
Reston, VA, US
Full-time
Onsite
Mid, Senior LevelTyto Athene is a trusted leader in IT services and solutions, delivering mission-focused digital transformation. They are seeking a mission-oriented AI/ML Engineer to design, develop, and deploy AI/ML solutions for the DoD's tactical mission edge, enhancing decision-making and situational awareness for warfighters and intelligence analysts.
Information Technology
No H1B
U.S. Citizen Only
Responsibilities
Design, develop, and optimize efficient and lightweight AI/ML models specifically for edge devices with limited computational power, memory, and energy
Implement techniques to ensure real-time performance at the tactical edge
Develop and integrate on-device learning and adaptive models that can continuously improve and adapt to changing mission environments without constant cloud connectivity
Engineer AI/ML solutions for disconnected or intermittently connected operations, ensuring robustness and functionality even when central network access is unavailable
Architect and implement advanced sensor fusion to integrate and make sense of disparate and sensor data streams from various modalities
Develop multi-sensor perception systems for object detection, tracking, classification, anomaly detection, and situation awareness in complex, dynamic, and potentially contested environments
Apply expertise in processing and fusing data from diverse sensor types including
Address challenges of data synchronization, misalignment, and conflicting information from multiple sensors to generate a coherent and accurate operational picture
Develop AI/ML algorithms that enhance decision-making speed and accuracy for warfighters and commanders
Focus on applications that provide a direct mission advantage, such as predictive intelligence, threat detection and identification, autonomous navigation, target recognition, battle damage assessment, and enhanced situational awareness
Collaborate directly with mission experts and end-users to iteratively design, test, and refine AI/ML capabilities, ensuring operational relevance and usability
Design AI/ML systems that are robust to adversarial attacks and can accommodate the realities of mission sensor data quality and noise, environmental noise, ensuring reliable performance in contested and unpredictable operational settings
Implement techniques for explainable AI (XAI) to provide warfighters with transparency and confidence in model predictions, especially for critical decisions
Develop methods for model monitoring and health checks at the edge, ensuring sustained performance and alerting to degradation or compromise
Ensure AI/ML solutions comply with responsible AI principles and ethical guidelines for military applications
Design and implement secure MLOps pipelines for continuous integration, continuous delivery (CI/CD), and lifecycle management of AI/ML models from development to deployment at the mission edge
Automate model testing, validation, and deployment processes in highly constrained and secure environments
Ensure all AI/ML development and deployment adheres to stringent DoD cybersecurity frameworks and secure coding practices
Support the integration of FISMA compliance controls into coding practices incorporating unique edge security considerations
Implement Zero Trust architectures for AI/ML solution access and data handling at the edge
Integrate AI/ML solutions with existing and legacy DoD tactical systems, command and control (C2) platforms, and communications networks
Work to ensure seamless data flow and interoperability with various DoD data sources and fusion centers
Contribute to the establishment of tactical data lakes or similar constructs at the edge for local data ingestion and AI/ML processing
Qualification
Required
Bachelor's Degree in Engineering, Computer Science, or related field; equivalent, relevant experience will be considered
Proficiency in PyTorch, Python, JavaScript/TypeScript
Open-source LLMs (e.g., Llama, Gemma, Qwen) and VLMs (e.g., Phi4, Qwen-VL) using Huggingface
Expertise in prompt engineering
Building RAG pipelines using tools like LangChain or LlamaIndex
Hands-on experience with Docker, Kubernetes, Helm; model serving frameworks like vLLM or Triton
Observability tools such as Weights & Biases
Vector databases like Qdrant or Milvus
Experience deploying models on edge devices
Experience utilizing hardware acceleration tools like CUDA, ONNX, TensorRT
Proven track record of designing, training, and deploying lightweight and efficient machine learning models for real-time inference on resource-constrained devices
Experience with MLOps tools and practices for deploying and managing models in production, especially at the edge
Familiarity with the Model Context Protocol (MCP) for connecting AI models to external tools and data sources
Understanding of secure, real-time data access methodologies
Extensive hands-on experience with multi-modal sensor data fusion techniques and algorithms
Demonstrated ability to work with and process diverse sensor data types (e.g., imagery, video, audio, RF, network logs, structured data)
Experience with signal processing, computer vision, natural language processing (NLP), or other relevant domains for sensor data interpretation
Direct experience designing and implementing solutions DDIL communication environments
Familiarity with tactics, techniques, and procedures (TTPs) related to military operations at the tactical edge
Understanding of the challenges of data collection, storage, and processing in austere and contested operational environments
Deep understanding of unique DoD reference architectures such as CJADC2 and MPEs
Significant experience as an agile and CI/CD practitioner
Strong analytical and problem-solving skills
Excellent communication and interpersonal skills
Ability to work effectively across functional groups to optimize product & service offerings
Understands the many aspects of United States Government/Department of Defense programs, including but not limited to program and project management, staffing, engineering, Operations and Maintenance (O&M), quality, logistics, technology, and regulations
Demonstrated ability to handle multiple projects simultaneously
Preferred
Familiarity of NIST security guidelines, such as 800-53 and 800-63, and good understanding of security fundamentals, as well as authentication with OAuth, SAML etc
Knowledge of Go, Rust, or C++ for edge optimization
Experience integrating GenAI into full-stack applications
Handling large, multimodal datasets
Fine-tuning with LoRA
Associate level certification with Google, Azure or AWS cloud platforms
Active SECRET security clearance preferred or be able to secure DoD Security clearance
Benefits
Health/Dental/Vision
401(k) match
Paid Time Off
STD/LTD/Life Insurance
Referral Bonuses
Professional development reimbursement
Parental leave
Company
Tyto Athene, LLC
At Tyto Athene, we help turn Data to Dominance.
Founded in 2018
1001-5000 employees
Funding
Current Stage
Late StageLeadership Team
Dennis Kelly
Chief Executive Officer
Peter O'Donoghue
Chief Technology Officer
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