Hayden AI Technologies
Technology
DeepLearningEngineerII
Neural analysis suggests this role is
optimal for Mid candidates.
“Deep Learning Engineer II at Hayden AI Technologies. Lead research, development, deployment of deep learning models. Architect machine learning systems”
Industry & Context.
Model robustness
What They're Looking For.
Must Have
Master of Science or Engineering degree, Two (2) years of experience, One (1) year of work experience, Machine learning, Deep learning, Computer vision, Image classification, Object detection, Semantic segmentation, Urban scene perception, Foundational models, Data augmentation, Data generation pipelines, Multi-sensor fusion, Motion forecasting, Trajectory prediction, Python programming, Software design principles, Machine learning libraries, PyTorch, Cloud-based deployments, AWS, GCP, Containerization, Orchestration technologies, Docker, Kubernetes, Cloud and edge systems
What You'll Do.
deployment of deep learning models
Architect machine learning systems
Optimize machine learning systems
Develop training techniques
Implement training techniques
Explore foundational AI models
Integrate foundational AI models
Develop adaptation strategies
Drive innovation in model compression
Drive innovation in quantization
Drive innovation in efficient inference
Collaborate with cross-functional teams
Define machine learning roadmaps
Evaluate new technologies
Contribute to technical strategy
Conduct research on deep learning techniques
Evaluate deep learning techniques
How You'll Work.
Team & Collaboration
Cross-functional teams
Process & Methodology
Roadmaps
Full Job Description
ABOUT US At Hayden AI, we are on a mission to harness the power of computer vision to transform the way transit systems and other government agencies address real-world challenges. From bus lane and bus stop enforcement to transportation optimization technologies and beyond, our innovative mobile perception system empowers our clients to accelerate transit, enhance street safety, and drive toward a sustainable future. COMPANY NAME: Hayden AI Technologies, Inc. POSITION TITLE: Deep Learning Engineer II POSITION DUTIES: Lead the research, development, and deployment of state-of- the-art deep learning models for perception of urban scenes in production environments. Architect and optimize complex machine learning systems for scalability, efficiency, and robustness, utilizing cloud-native technologies. Develop and implement training techniques such as data augmentation or model distillation pipelines to improve model robustness under diverse urban and environmental conditions. Explore and integrate novel multi-modal foundational AI models, including large Vision- Language Models (VLMs), and develop strategies for their effective fine- tuning and adaptation to specific domain challenges. Drive innovation in model compression, quantization, and efficient inference techniques to optimize performance for both cloud and edge device deployments. Collaborate with cross-functional teams to define machine learning roadmaps, evaluate new technologies, and contribute to the overall technical strategy. Conduct research, and evaluate emerging deep learning techniques applicable to perception and intelligent mobility. DEGREE REQUIREMENTS: Master of Science or Engineering degree or the foreign equivalent in Robotics, Machine Learning, Computer Science, Electrical Engineering, Electrical Engineering and Computer Sciences or related. EXPERIENCE REQUIREMENT: Two (2) years of experience in the position offered, as a Perception Engineer (Deep Learning), Graduate Researcher, Computer Vision
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