Senior Research Scientist
16 hours ago
Axon is a leading technology company dedicated to protecting life and advancing justice. We're a team of innovators, explorers, and problem-solvers who are passionate about making a positive impact on the world.
Job SummaryWe're seeking a highly skilled Senior Research Scientist to join our team in Seattle, San Francisco, Toronto, Scottsdale, Washington D.C., Boston, or Atlanta. As a key member of our research team, you'll be responsible for investigating research approaches, assessing implementation risks, and defining success metrics for multiple AI/ML projects. You'll collaborate with other research scientists and machine learning engineers to drive innovation and deliver scalable AI-based products.
Responsibilities- Drive one or more phases of the ML development lifecycle, including shaping datasets, investigating modeling approaches and architectures, training/evaluating/tuning models, and implementing 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 through academic publications, tech blogs, open-source code, and participating in internal/external AI challenges.
- 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.
- A track record of publications and contributions to the machine learning community.
- Excellent problem-solving skills and the 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.
- Competitive salary and 401(k) 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.
Remotely near Seattle, San Francisco, Toronto, Scottsdale, Washington D.C., Boston, or Atlanta.
Reports toSenior Manager, Research Science.
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