What are the responsibilities and job description for the Deep Learning Engineer II position at Hayden AI?
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 Researcher,
Software Engineer, Machine Learning Engineer, Graduate Student, Summer
Intern or a related deep learning engineer role.
Other Special Requirements
One (1) year of work experience with all of the following: machine learning,
deep learning, and computer vision, with a focus on image classification,
object detection, semantic segmentation, and urban scene understanding;
leveraging large foundational models for a variety of computer vision tasks;
deploying models in real-world, customer- facing production environments;
data augmentation and data generation pipelines for training; deep learning
models for multi-sensor fusion (e.g., IMU, LiDAR, Cameras) to enable
robust perception and operation in GPS-challenged environments deep
learning models; developing models for motion forecasting or trajectory
prediction of dynamic agents, applied to areas such as vehicle movement
classification; Python programming with a foundation in software design
principles and with relevant machine learning libraries and Frameworks;
PyTorch or TensorFlow; cloud-based deployments on platforms such as
AWS, GCP, or Azure; containerization and orchestration technologies, such
as Docker or Kubernetes; and cloud and edge device systems for effective
model deployment and integration.
RATE OF PAY: $161,637.00 to $175,000.00 per year
LOCATION OF POSITION AND INTERVIEW:
Hayden AI Technologies, Inc.
460 Bryant Street, Suite 100
San Francisco, CA 94107
Applicants Should Submit Resumes To
Janet Le-Mcintosh
janet.le@hayden.ai
Hayden AI Technologies, Inc.
460 Bryant Street, Suite 100
San Francisco, CA 94107
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 Researcher,
Software Engineer, Machine Learning Engineer, Graduate Student, Summer
Intern or a related deep learning engineer role.
Other Special Requirements
One (1) year of work experience with all of the following: machine learning,
deep learning, and computer vision, with a focus on image classification,
object detection, semantic segmentation, and urban scene understanding;
leveraging large foundational models for a variety of computer vision tasks;
deploying models in real-world, customer- facing production environments;
data augmentation and data generation pipelines for training; deep learning
models for multi-sensor fusion (e.g., IMU, LiDAR, Cameras) to enable
robust perception and operation in GPS-challenged environments deep
learning models; developing models for motion forecasting or trajectory
prediction of dynamic agents, applied to areas such as vehicle movement
classification; Python programming with a foundation in software design
principles and with relevant machine learning libraries and Frameworks;
PyTorch or TensorFlow; cloud-based deployments on platforms such as
AWS, GCP, or Azure; containerization and orchestration technologies, such
as Docker or Kubernetes; and cloud and edge device systems for effective
model deployment and integration.
RATE OF PAY: $161,637.00 to $175,000.00 per year
LOCATION OF POSITION AND INTERVIEW:
Hayden AI Technologies, Inc.
460 Bryant Street, Suite 100
San Francisco, CA 94107
Applicants Should Submit Resumes To
Janet Le-Mcintosh
janet.le@hayden.ai
Hayden AI Technologies, Inc.
460 Bryant Street, Suite 100
San Francisco, CA 94107
Salary : $161,637 - $175,000