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    • Senior Machine Learning Scientist II - Seattle - Axon

    Axon
    Axon Seattle

    1 week ago

    Default job background
    Description

    Protect Life as a Computer Vision and Machine Learning Scientist

    We're on a mission to make the world a safer, better place. At Axon, we work together to advance society's most critical safety and justice issues using our ecosystem of devices and cloud software.

    About Us

    Axon is a company where you matter. Here, you'll take ownership and drive real change. You'll 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 Scientists to join our AI team. 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.

    What You'll Do

    • You'll own one or more key technical areas across CVML product portfolio.
    • You'll provide technical leadership to junior scientists, guiding the transition of R&D concepts into impactful CVML product features.
    • You'll research and develop cutting-edge techniques in MLLMs, GenAI, and Computer Vision across cloud, devices and sensors based data sources.
    • You'll design and implement efficient and scalable MLLM models for inference and analysis of visual data.
    • You'll explore novel approaches to address challenges in object detection, recognition, tracking, segmentation, and scene understanding.
    • You'll optimize algorithms for performance, memory footprint, and energy efficiency to meet the requirements of resource-constrained devices.
    • You'll join forces with MLEs or firmware or hardware engineers to leverage hardware accelerators and optimize algorithms for specific hardware architectures.
    • You'll evaluate the performance of MLLM models using real-world datasets and design experiments to validate their effectiveness.
    • You'll 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.
    • You'll contribute to patent disclosures, academic publications, and technical documentation to share insights and findings with the broader community.
    • You'll experience coach and mentor junior scientists.

    What You Bring

    • You have a PhD in Computer Science or a related field with a focus on MLLMs, computer vision, machine learning, or artificial intelligence and +8 year experience.
    • You have a proven track record of research excellence in machine learning, computer vision, robotics perception, demonstrated through publications in top-tier conferences or journals.
    • You have strong proficiency in programming languages such as Python, C/C++, experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras and experience with ROS or robotic operational system.
    • You can 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.
    • You can leverage state-of-the-art research to deliver high quality models enabling multiple AI projects at scale.
    • You can contribute back to the research community via academic publications, tech blogs, open-source code and contributing to internal/external AI challenges.
    • You have experience in developing computer vision algorithms for resource-constrained devices such as mobile phones, IoT devices, or embedded systems.
    • You have excellent problem-solving skills, analytical thinking, and the ability to work autonomously as well as collaboratively in a team environment.
    • You have well-developed communication skills and the ability to effectively present complex technical concepts to both technical and non-technical audiences.

    Benefits

    • 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.

    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 Commitment to Diversity and Inclusion

    We are committed to building diverse teams that reflect the communities we serve. Studies have shown that women and people of color are less likely to apply to jobs unless they check every box in the job description. If you're excited about this role and our mission to Protect Life but your experience doesn't align perfectly with every qualification listed here, we encourage you to apply anyways.

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Senior machine learning scientist ii