Axon
AI Research Scientist, Computer Vision & Robotics
Axon, Seattle, Washington, us, 98127
Your ImpactWe are seeking a highly skilled and innovative Computer Vision Scientist to join our AI team, focusing on AI applications in Cloud, Devices and Robotics. As a key member of our research and development efforts, you will play a crucial role in advancing the state-of-the-art in computer vision technologies for our cloud, devices and robotics. You will collaborate with cross-functional teams to design, develop, and deploy cutting-edge computer vision algorithms and solutions that enable intelligent perception and understanding of visual data.
What You’ll DoLocation:
Hybrid in Seattle, WAReports to:
Senior Manager, Research Science
Research and develop advanced robotic perception, GenAI, MLLMs, and computer vision techniques for cloud, devices, and sensors from multimodal data sources.
Design and implement efficient and scalable computer vision models for real-time processing and analysis of visual data.
Explore novel approaches to address challenges in object detection, recognition, tracking, segmentation, and scene understanding.
Optimize algorithms for performance, memory footprint, and energy efficiency to meet the requirements of resource-constrained devices.
Collaborate with MLEs or firmware or hardware engineers to leverage hardware accelerators and optimize algorithms for specific hardware architectures.
Evaluate the performance of computer vision models using real-world datasets and design experiments to validate their effectiveness.
Stay up-to-date with the latest research trends and advancements in computer vision, machine learning, and deep learning, MLLMs, GenAI and integrate relevant findings into our projects.
Contribute to patent disclosures, academic publications, and technical documentation to share insights and findings with the broader community.
What You Bring
PhD or Master’s degree in Computer Science or a related field with a focus on computer vision, machine learning, or artificial intelligence.New PhD Graduates encouraged
Proven track record of research excellence in computer vision, robotics perception, SLAM, demonstrated through publications in top-tier conferences or journals.
Strong proficiency in programming languages such as Python, C/C++, experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras, and experience with ROS or robotic operational systems.
Solid understanding of computer vision and robotics perception fundamentals, including image processing, 3D reconstruction, feature extraction, object detection, classification, and semantic segmentation.
Experience in developing computer vision algorithms for resource-constrained devices such as mobile phones, IoT devices, or embedded systems is highly desirable.
Familiarity with hardware architectures, parallel computing, and optimization techniques for efficient execution of algorithms on embedded platforms.
Excellent problem-solving skills, analytical thinking, and the ability to work independently as well as collaboratively in a team environment.
Strong communication skills and the ability to effectively present complex technical concepts to both technical and non-technical audiences.
Benefits that Benefit You
Competitive salary and 401k with employer match
Discretionary paid time off
Paid parental leave for all
Medical, Dental, Vision plans
Fitness Programs
Emotional & Mental Wellness support
Learning & Development programs
And yes, we have snacks in our offices
Benefits listed herein may vary depending on the nature of your employment and the location where you work.
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What You’ll DoLocation:
Hybrid in Seattle, WAReports to:
Senior Manager, Research Science
Research and develop advanced robotic perception, GenAI, MLLMs, and computer vision techniques for cloud, devices, and sensors from multimodal data sources.
Design and implement efficient and scalable computer vision models for real-time processing and analysis of visual data.
Explore novel approaches to address challenges in object detection, recognition, tracking, segmentation, and scene understanding.
Optimize algorithms for performance, memory footprint, and energy efficiency to meet the requirements of resource-constrained devices.
Collaborate with MLEs or firmware or hardware engineers to leverage hardware accelerators and optimize algorithms for specific hardware architectures.
Evaluate the performance of computer vision models using real-world datasets and design experiments to validate their effectiveness.
Stay up-to-date with the latest research trends and advancements in computer vision, machine learning, and deep learning, MLLMs, GenAI and integrate relevant findings into our projects.
Contribute to patent disclosures, academic publications, and technical documentation to share insights and findings with the broader community.
What You Bring
PhD or Master’s degree in Computer Science or a related field with a focus on computer vision, machine learning, or artificial intelligence.New PhD Graduates encouraged
Proven track record of research excellence in computer vision, robotics perception, SLAM, demonstrated through publications in top-tier conferences or journals.
Strong proficiency in programming languages such as Python, C/C++, experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras, and experience with ROS or robotic operational systems.
Solid understanding of computer vision and robotics perception fundamentals, including image processing, 3D reconstruction, feature extraction, object detection, classification, and semantic segmentation.
Experience in developing computer vision algorithms for resource-constrained devices such as mobile phones, IoT devices, or embedded systems is highly desirable.
Familiarity with hardware architectures, parallel computing, and optimization techniques for efficient execution of algorithms on embedded platforms.
Excellent problem-solving skills, analytical thinking, and the ability to work independently as well as collaboratively in a team environment.
Strong communication skills and the ability to effectively present complex technical concepts to both technical and non-technical audiences.
Benefits that Benefit You
Competitive salary and 401k with employer match
Discretionary paid time off
Paid parental leave for all
Medical, Dental, Vision plans
Fitness Programs
Emotional & Mental Wellness support
Learning & Development programs
And yes, we have snacks in our offices
Benefits listed herein may vary depending on the nature of your employment and the location where you work.
#J-18808-Ljbffr