Lead AI Research Scientist

2 weeks ago

Seattle, Washington, United States Axon Full time
Join Axon and Make a Difference.

At Axon, our mission is to Protect Life. We are innovators tackling society's most pressing safety and justice challenges through our integrated ecosystem of devices and cloud-based software. Just like our products, we thrive on collaboration, embracing diverse perspectives from our customers, communities, and each other.

Life at Axon
Our environment is dynamic, demanding, and impactful. Here, you will take charge and effect genuine change. Experience continuous growth as you dedicate yourself to a mission that truly matters at a company that values your contributions.

Your Contribution
Are you eager to engage in work that addresses some of the most complex issues in public safety? Do you have a passion for AI and Machine Learning? Are you seeking a role where you can train machine learning models and apply them in real-world scenarios for the greater good?

As a Lead AI Research Scientist, you will explore research methodologies, evaluate implementation risks, and establish success metrics for various AI/ML initiatives while collaborating with fellow research scientists and machine learning engineers.

You will be actively engaged throughout the entire AI innovation lifecycle, from model prototyping to deployment and ongoing learning.

The ideal candidate will possess a solid scientific foundation and a proven history of successfully researching and delivering scalable AI-driven products with hands-on execution. We seek someone who is unafraid to embrace bold challenges.

By facilitating the adoption of our technologies, you will contribute to enhancing public safety for both law enforcement and the communities they serve globally.

Key Responsibilities
  • Drive one or more phases of the ML development lifecycle: shape datasets, explore modeling strategies and architectures, train/evaluate/tune models, and implement the end-to-end training pipeline.
  • Utilize cutting-edge research to deliver high-quality models that enable multiple AI projects at scale.
  • Contribute to the research community through academic publications, technical blogs, open-source contributions, and participation in internal/external AI challenges.

What You Bring
A Master's Degree (PhD preferred) in Computer Science, Machine Learning, Statistics, Applied Mathematics, or a related technical field.

  • Hands-on experience in developing, scaling, and implementing machine learning solutions using relevant programming languages (such as Python), advanced 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 in developing Computer Vision solutions (including object detection, tracking, recognition, and visual scene understanding) in a professional context.
  • A record of publications and contributions to the machine learning community.
  • Exceptional problem-solving skills with the ability to analyze data, model architecture, learning algorithms/optimization, evaluation metrics, and testing scenarios.
  • Effective communication skills to interact with scientists, engineers, and product managers, along with the ability to convey complex AI and Machine Learning concepts to a broader audience.
  • Experience with active learning, 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 for on-device execution with constrained compute, power, and latency budgets.

Benefits That Support 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 may vary based on employment nature and location.

Compensation:
Axon offers a total compensation package, which includes base pay, bonuses, and stock awards. The starting base pay for this role ranges from USD 180,000 in the lowest geographic market to USD 290,000 in the highest geographic market. The on-target earnings range for this role is between USD 340,000 in the lowest geographic market and USD 500,000 in the highest geographic market. Actual base pay is influenced by various factors, including level, function, training, transferable skills, work experience, business needs, and geographic market.

Commitment to Diversity
At Axon, we are dedicated to building diverse teams that reflect the communities we serve. We encourage candidates from all backgrounds to apply, even if they do not meet every single requirement listed. We believe that diverse perspectives lead to better solutions and innovation.

Important Notes
The job description provided is not exhaustive of all duties, responsibilities, skills, efforts, or working conditions associated with this position. It may change or be supplemented at any time based on business needs.

Axon's mission is to Protect Life, and we are committed to the well-being and safety of our employees as well as our impact on the environment. All Axon employees are expected to adhere to environmental, health, and safety regulations, policies, and procedures.

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