AI Scientist I

Axon•Seattle, WA

4d•Hybrid

About The Position

We are seeking a highly skilled and innovative Computer Vision and Machine Learning 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 Multimodal Large Language Models (MLLMs), 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.

Requirements

PhD and 1 years experience in Computer Science and Robotics or a related field with a focus on robotics perception, MLLMs, computer vision, machine learning, or artificial intelligence.
Strong proficiency in programming languages such as Python, C/C++
experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras
experience with ROS or robotic operational system.
Drive one or more phases of the ML development lifecycle: shape datasets, investigate modeling approaches and architectures, train/evaluate/tune models and implement the end-to-end training pipeline.
Leverage state-of-the-art research to deliver high quality models enabling multiple AI projects at scale.
Contribute back to the research community via academic publications, tech blogs, open-source code and contributing to internal/external AI challenges
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.

Nice To Haves

Experience in developing computer vision algorithms for resource-constrained devices such as mobile phones, IoT devices, or embedded systems is highly desirable.

Responsibilities

Research and develop advanced MLLMs, GenAI, and Computer Vision techniques for cloud, devices and sensors from multimodal data sources.
Design and implement efficient and scalable MLLM models for inference 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.
Join force with MLEs or firmware or hardware engineers to leverage hardware accelerators and optimize algorithms for specific hardware architectures.
Evaluate the performance of MLLM 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.
Experience coach and mentor junior scientists.