Senior Research Scientist
Computer Vision, Remote
Posted on 2/8/2024
Axon

1,001-5,000 employees

Develops non-lethal public safety technologies and solutions
Company Overview
Axon, originally founded as TASER International, is a company deeply rooted in a mission to protect life, aiming to reduce gun-related deaths by 50% in 10 years. It offers a comprehensive network of devices and applications, making it a leader in public safety solutions. The company's culture is driven by purpose, inviting those who seek meaningful careers to contribute to their goal of creating a safer world.
Hardware
Aerospace

Company Stage

N/A

Total Funding

$246M

Founded

1993

Headquarters

Scottsdale, Arizona

Growth & Insights
Headcount

6 month growth

9%

1 year growth

24%

2 year growth

78%
Locations
Seattle, WA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Microsoft Azure
Python
Tensorflow
Git
Data Structures & Algorithms
Pytorch
AWS
Computer Vision
CategoriesNew
Lab & Research
AI & Machine Learning
Requirements
  • Master’s Degree in Computer Science, Machine Learning, Statistics, Applied Mathematics or equivalent
  • 5+ years of combined academic and industrial research experience in developing Computer Vision solutions
  • Hands-on experience in developing, scaling, and implementing machine learning solutions using Python, PyTorch, Tensorflow, and Github
  • Track record of publications and contributions to the machine learning community
  • Experience with distributed machine learning and deploying models at scale in cloud environments (AWS, Microsoft Azure, Google Cloud)
  • Familiarity with IoT/Edge AI and optimizing ML models to run on-device with constrained compute, power, and latency budgets
Responsibilities
  • Drive one or more phases of the ML development lifecycle
  • 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
Desired Qualifications
  • PhD in Computer Science, Machine Learning, Statistics, Applied Mathematics or equivalent
  • Experience with active learning, learning from synthetic data, and one-shot/data-efficient training of ML models
  • Excellent problem-solving skills and ability to dive into data, model architecture, learning algorithms/optimization, evaluation metrics, and testing scenarios
  • Comfort communicating and interacting with scientists, engineers, and product managers as well as understanding and translating the science of AI and Machine Learning to a more general audience