Senior Machine Learning ScientistOut in Science, Technology, Engineering, and Mathematics • Seattle, Washington, United States
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Senior Machine Learning Scientist
Out in Science, Technology, Engineering, and Mathematics
- Seattle, Washington, United States
- Seattle, Washington, United States
About
Your Impact We are seeking highly skilled and innovative Machine Learning Scientists to join our AI team, focusing on AI applications (LLM and Computer Vision) 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 Large Language Models (LLMs), Multimodal Large Language Models (MLLMs), ComputerVision and GenAI technologies for law enforcement and beyond. You will collaborate with cross‑functional teams to design, develop, and deploy cutting‑edge LLM, MLLM, CV models and algorithms and solutions that enable intelligent reasoning, perception and understanding of multimodal data.
What You’ll Do Location: any city with an Axon Engineering Hub in the US, Vietnam or EU (see https://www.axon.com/company).
Own one or more key technical areas across LLM, MLLM, CV product portfolio.
Provide technical leadership to junior scientists, guiding the transition of R&D concepts into impactful Axon product features.
Research and develop cutting‑edge techniques in LLM, MLLMs, GenAI, and ComputerVision across cloud, devices and sensor‑based data sources.
Design and implement efficient and scalable MLLM models for inference and analysis of multimodal data.
Explore novel approaches to address challenges in NLP, NLU, object detection, object recognition, object tracking, segmentation and scene understanding.
Optimize AI models and algorithms for performance, memory footprint and energy efficiency to meet the requirements of resource‑constrained devices.
Join forces with MLEs, firmware or hardware engineers to leverage hardware accelerators and optimize algorithms for specific hardware architectures.
Evaluate the performance of LLM, MLLM, CV 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.
Coach and mentor junior scientists.
What You Bring
PhD and +5 years of experience as a Machine Learning Scientist, +8 years for Senior ML Scientist, or +10 years for Principal ML Scientist in Computer Science or a related field with a focus on LLM, MLLM, Computer Vision, GenAI.
Proven track record of research excellence in LLM, MLLM, Computer Vision, Robotics Perception, GenAI, demonstrated through publications in top‑tier conferences or journals.
Strong proficiency in programming languages such as Python and C/C++, experience with deep learning frameworks such as TensorFlow, PyTorch or Keras, and experience with ROS or a robotic operating system.
Experience with all phases of the ML development lifecycle: shaping datasets, investigating modeling approaches and architectures, training/executing/tuning models, and implementing end‑to‑end training pipelines.
Leverage state‑of‑the‑art research to deliver high‑quality models enabling multiple AI projects at scale.
Contribute to the research community via academic publications, tech blogs, open‑source code and participation in internal or external AI challenges.
Experience developing computer vision algorithms for resource‑constrained devices such as mobile phones, IoT devices or embedded systems is highly desirable.
Excellent problem‑solving skills, analytical thinking and ability to work independently as well as collaboratively in a team environment.
Strong communication skills and ability to effectively present complex technical concepts to both technical and non‑technical audiences.
Benefits
Competitive salary and 401(k) with employer match
Discretionary paid time off
Paid parental leave for all
Fitness programs
Emotional and mental wellness support
Snacks in our offices
Base Pay Range: $290,250 – $500,400 USD
Location: Seattle, WA. This role follows a hybrid schedule, with onsite work Tuesday through Friday and remote work on Mondays.
The above job description is not intended as, nor should it be construed as, exhaustive of all duties, responsibilities, skills, efforts or working conditions associated with this job. The description may change or be supplemented at any time in accordance with business needs and conditions.
Axon is an equal‑opportunity employer committed to hiring the best talent regardless of race, creed, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, genetic information, veteran status or any other characteristic protected by applicable laws. If you have a disability or special need that requires assistance during the application or recruiting process, please email recruitingops@axon.com for accommodation.
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Languages
- English
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