Data Adaptation Research Engineer improving real - time adaptive algorithms. Collaborating on innovative data strategies for malleable data spaces and efficient AI systems in a global - first team.
About the role
- Principal Investigator leading robotics and machine learning projects for Teledyne FLIR Defense. Develop machine learning stacks and contribute to software codebases while ensuring project compliance and timelines.
Responsibilities
- Technically contribute to C++, Python, and Cuda codebases.
- Drive technical decision making, coordinating between software engineers and machine learning engineers.
- Prepare technical reports and contractual deliverables for technical and non-technical audiences.
- Drive development of a mature machine learning stack.
- Research, evaluate, and implement newest techniques in machine vision, robotics, and deep learning.
- Ensure alignment with project goals, timelines, and compliance standards throughout the development lifecycle.
Requirements
- PhD in Computer Science, Mathematics, or similar technical field with 3+ years of relevant experience or Masters with 8+ years of relevant experience.
- Foundational knowledge of deep learning techniques, familiarity with PyTorch and Data Version Control (DVC) is a plus.
- Strong foundation of linear algebra and statistics.
- Understanding of SLAM algorithms, 3D data, and numerical optimization.
- Proven ability to lead technical teams and manage complex research projects.
- Excellent written and verbal communication skills, with the ability to convey complex ideas clearly and effectively.
- Familiarity with Embedded Systems like the NVIDIA Orin.
- Familiarity with modern Linux/Unix operating systems like Ubuntu.
Benefits
- Health insurance
- Retirement plans
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