Senior Machine Learning Scientist II

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Join to apply for the Senior Machine Learning Scientist II role at Axon

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Join Axon and be a Force for Good.

At Axon, we’re on a mission to Protect Life. We’re explorers, pursuing society’s most critical safety and justice issues with our ecosystem of devices and cloud software. Like our products, we work better together. We connect with candor and care, seeking out diverse perspectives from our customers, communities and each other.

Join Axon and be a Force for Good.

At Axon, we’re on a mission to Protect Life. We’re explorers, pursuing society’s most critical safety and justice issues with our ecosystem of devices and cloud software. Like our products, we work better together. We connect with candor and care, seeking out diverse perspectives from our customers, communities and each other.

Life at Axon is fast-paced, challenging and meaningful. Here, you’ll take ownership and drive real change. Constantly grow as you work hard for a mission that matters at a company where you matter.

Your Impact

We are seeking highly skilled and innovative Computer Vision and Machine Learning Scientist to join our AI team, focusing on AI applications in Cloud, Devices and Robotics. As a key member of our research and development efforts, you will play a crucial role in advancing the state-of-the-art in Multimodal Large Language Models (MLLMs), Computer Vision technologies for our cloud, devices and robotics.

You will collaborate with cross-functional teams to design, develop, and deploy cutting-edge computer vision algorithms and solutions that enable intelligent perception and understanding of visual data.

What You’ll Do

Location:

Hybrid in Seattle OR Remotely from the US

Reports to:

Senior Manager, Research Science

• Own one or more key technical areas across CVML product portfolio.

• Provide technical leadership to junior scientists, guiding the transition of R&D concepts into impactful CVML product feature.

• Research and develop cutting-edge techniques in MLLMs, GenAI, and Computer Vision across cloud, devices and sensors based 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 forces 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.
What You Bring

• PhD and with +8 year experience in Computer Science or a related field with a focus on MLLMs, computer vision, machine learning, or artificial intelligence.

• Proven track record of research excellence in machine learning, computer vision, robotics perception, demonstrated through publications in top-tier conferences or journals.

• Strong proficiency in programming languages such as Python, C/C++, experience with deep learning frameworks such as Tensor Flow, 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…