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AI Scientist I

Remote Full-time Live

Axon is on a mission to Protect Life, focusing on critical safety and justice issues through their ecosystem of devices and cloud software. The AI Scientist I will be responsible for researching and developing advanced computer vision and machine learning techniques, collaborating with cross-functional teams to design and deploy intelligent solutions.

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

Skills

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

Benefits

  • 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
  • This role is based out of our Seattle, WA office and follows a hybrid schedule.
  • We rely on in-person collaboration and ask that team members work onsite Tuesday through Friday, with flexibility to work remotely on Mondays.
  • Axon is a total compensation company, meaning compensation is made up of base pay, bonus, and stock awards.

Company Overview

  • Axon provides electronic control devices to law enforcement and corrections agencies. It was founded in 1993, and is headquartered in Scottsdale, Arizona, USA, with a workforce of 1001-5000 employees. Its website is https://www.axon.com.
  • Company H1B Sponsorship

  • Axon has a track record of offering H1B sponsorships, with 3 in 2026, 3 in 2025, 3 in 2024, 7 in 2023, 2 in 2020. Please note that this does not guarantee sponsorship for this specific role.
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