Sr AI Research Scientist I - Computer Vision

Your Impact

Candidates should take the time to read all the elements of this job advert carefully Please make your application promptly.

Do you want to contribute to the work that addresses some of today’s most challenging problems in the public safety space?

Are you passionate about AI and Machine Learning? Are you looking for an opportunity to train machine learning models and deploy it in real life situations for the greater good?

As a Sr. Research Scientist, you will investigate the research approach, assess the implementation risk and define the success metrics for multiple AI / ML projects while collaborating with other research scientists and machine learning engineers.

You will be actively involved throughout the entire AI innovation life cycle from model prototyping to deployment and continuous learning.

The ideal candidate will have a proven scientific background and a consistent track record of successfully researching and delivering scalable AI-based products with hands-on execution.

We need someone willing to be fearless and more than willing to take on bold challenges. By accelerating the adoption of our technologies, you'll help protect life in public safety for both officers and the communities they serve around the world.

What You’ll Do

Location : Remotely near Seattle, San Francisco, Toronto, Scottsdale, Washington D.C., Boston, Atlanta

Reports to : Senior Manager, Research Science

• 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

What You Bring

• A Master’s Degree (PhD preferred) in Computer Science, Machine Learning, Statistics, Applied Mathematics or an equivalent highly technical field.
• Hands on experience in developing, scaling and implementing machine learning solutions using relevant programming languages (such as Python), state-of-the-art deep learning frameworks (such as PyTorch and Tensorflow) and code development and review tools (such as Github).
• 5+ years of combined academic and industrial research experience developing Computer Vision solutions (such as object detection / tracking / recognition and visual scene understanding) in a business setting.
• Track record of publications and contributions to the machine learning community.
• 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.
• Active learning, learning from synthetic data, and one-shot / data-efficient training of ML models.
• Demonstrated knowledge and experience with distributed machine learning and deploying models at scale in cloud environments (such as AWS, Microsoft Azure and Google Cloud).
• Familiarity with IoT / Edge AI and optimizing ML models to run on-device with constrained compute, power and latency budgets.

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

The Pay : Axon is a total compensation company, meaning compensation is made up of base pay, bonus, and stock awards. The starting base pay for this role is between USD 180,000 in the lowest geographic market and USD 290,000 in the highest geographic market.

The actual base pay is dependent upon many factors, such as : level, function, training, transferable skills, work experience, business needs, geographic market, and often a combination of all these factors.

Our benefits offer an array of options to help support you physically, financially and emotionally through the big milestones and in your everyday life.

To see more details on our benefits offerings please visit www.axon.com / careers / benefits.

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