Hayden AI
Senior Deep Learning Engineer
Hayden AI Technologies, Inc.
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.
Responsibilities
Develop computer vision algorithms for object detection, tracking, semantic segmentation, and classification.
Build and train deep learning models to enable complex urban scene perception and real-time analysis.
Participate in end-to-end development: from problem statement, data aggregation, and annotation, through model design, experiments, and training, to the deployment of the optimized model on embedded platforms and iterative improvement automation.
Automate improvement cycles of DL models.
Qualifications
Master of Science degree or equivalent in Electrical and Computer Engineering, Robotics, Machine Learning, Computer Science, Electrical Engineering or related field.
Three years of experience in a Deep Learning Engineer, AI Frameworks Engineer, Machine Learning Engineering Intern, or related deep learning or machine learning engineering role.
Three years of experience with deploying real-world applied computer vision (including deep learning models); Python programming and software design; C++; automated data annotation; PyTorch; OpenCV; and TensorFlow.
One year of experience with MLflow.
Salary
$187,574.00 to $195,000.00 per year
Location
Hayden AI Technologies, Inc. Suite 100 460 Bryant Street San Francisco, CA 94107
Application
Applicant Should Submit Resumes To Janet Le-McIntosh janet.le@hayden.ai Hayden AI Technologies, Inc. 460 Bryant Street Suite 100 San Francisco, CA 94107
#J-18808-Ljbffr
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.
Responsibilities
Develop computer vision algorithms for object detection, tracking, semantic segmentation, and classification.
Build and train deep learning models to enable complex urban scene perception and real-time analysis.
Participate in end-to-end development: from problem statement, data aggregation, and annotation, through model design, experiments, and training, to the deployment of the optimized model on embedded platforms and iterative improvement automation.
Automate improvement cycles of DL models.
Qualifications
Master of Science degree or equivalent in Electrical and Computer Engineering, Robotics, Machine Learning, Computer Science, Electrical Engineering or related field.
Three years of experience in a Deep Learning Engineer, AI Frameworks Engineer, Machine Learning Engineering Intern, or related deep learning or machine learning engineering role.
Three years of experience with deploying real-world applied computer vision (including deep learning models); Python programming and software design; C++; automated data annotation; PyTorch; OpenCV; and TensorFlow.
One year of experience with MLflow.
Salary
$187,574.00 to $195,000.00 per year
Location
Hayden AI Technologies, Inc. Suite 100 460 Bryant Street San Francisco, CA 94107
Application
Applicant Should Submit Resumes To Janet Le-McIntosh janet.le@hayden.ai Hayden AI Technologies, Inc. 460 Bryant Street Suite 100 San Francisco, CA 94107
#J-18808-Ljbffr