Talent.com
Senior Machine Learning Scientist II
Senior Machine Learning Scientist IIOut in Science, Technology, Engineering, and Mathematics • Seattle, WA, United States
Senior Machine Learning Scientist II

Senior Machine Learning Scientist II

Out in Science, Technology, Engineering, and Mathematics • Seattle, WA, United States
[job_card.30_days_ago]
[job_preview.job_type]
  • [job_card.full_time]
[job_card.job_description]

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 TensorFlow, 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 contributing to internal / external AI challenges.
  • Experience in 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 the ability to work autonomously as well as collaboratively in a team environment.
  • Well-developed communication skills and the ability to effectively present complex technical concepts to both technical and non-technical audiences.
  • Benefits that Benefit 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 listed herein may vary depending on the nature of your employment and the location where you work.

    The Pay : Axon is a total compensation company, meaning compensation is made up of base pay, bonus, and stock awards. The starting base pay for this role is between USD 212,000 in the lowest geographic market and USD 315,000 in the highest geographic market. 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. To see more details on our benefits offerings please visit www.axon.com / careers / benefits .

    Don’t meet every single requirement? That's ok. At Axon, we Aim Far. We think big with a long-term view because we want to reinvent the world to be a safer, better place. We are also 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. You may be just the right candidate for this or other roles.

    Important Notes

    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 job description may change or be supplemented at any time in accordance with business needs and conditions.

    Some roles may also require legal eligibility to work in a firearms environment.

    Axon’s mission is to Protect Life and is committed to the well-being and safety of its employees as well as Axon’s impact on the environment. All Axon employees must be aware of and committed to the appropriate environmental, health, and safety regulations, policies, and procedures. Axon employees are empowered to report safety concerns as they arise and activities potentially impacting the environment.

    We are an equal opportunity employer that promotes justice, advances equity, values diversity and fosters inclusion. We’re committed to hiring the best talent — regardless of race, creed, color, ancestry, religion, sex (including pregnancy), national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, genetic information, veteran status, or any other characteristic protected by applicable laws, regulations and ordinances — and empowering all of our employees so they can do their best work. If you have a disability or special need that requires assistance or accommodation during the application or the recruiting process, please email recruitingops@axon.com . Please note that this email address is for accommodation purposes only. Axon will not respond to inquiries for other purposes.

    #J-18808-Ljbffr

    [job_alerts.create_a_job]

    Machine Learning Scientist • Seattle, WA, United States

    [internal_linking.related_jobs]
    Senior Machine Learning Scientist II

    Senior Machine Learning Scientist II

    Axon • Seattle, WA, United States
    [job_card.full_time]
    Senior Machine Learning Scientist II.Senior Machine Learning Scientist II.Get AI-powered advice on this job and more exclusive features. Join Axon and be a Force for Good.At Axon, we’re on a mission...[show_more]
    [last_updated.last_updated_30] • [promoted]
    Applied Machine Learning Scientist II (AI / ML)

    Applied Machine Learning Scientist II (AI / ML)

    Blue Origin • Seattle, WA, United States
    [job_card.permanent]
    Applications will be accepted on an ongoing basis until the requisition is closed.At Blue Origin, we envision millions of people living and working in space for the benefit of Earth.We're working t...[show_more]
    [last_updated.last_updated_30] • [promoted]
    Applied Scientist II : 25-06331 (No C2C)

    Applied Scientist II : 25-06331 (No C2C)

    Akraya Inc • Seattle, Washington, United States
    [job_card.full_time]
    [filters_job_card.quick_apply]
    Primary Skills : Python (Expert), Machine Learning(Advanced), LLM (Advanced), AWS Services(Expert), Data Structure (Advanced). Duration : 6 Months with Possible Extension.Location : Seattle, WA (#LI-On...[show_more]
    [last_updated.last_updated_30]
    ML Engineer II — Ranking & Recommendations

    ML Engineer II — Ranking & Recommendations

    Work180 • Seattle, WA, United States
    [job_card.full_time]
    A leading technology company in Seattle seeks a skilled Machine Learning Engineer II to develop ML-powered features and enhance traveler experiences across its brands. Candidates should have experie...[show_more]
    [last_updated.last_updated_variable_days] • [promoted]
    Senior AI / ML Scientist

    Senior AI / ML Scientist

    UnitedHealth Group • Bellevue, Washington, US
    [job_card.full_time]
    Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives.The work you do with our team will directly improve health outcomes by connect...[show_more]
    [last_updated.last_updated_variable_days] • [promoted]
    Travel Mammography Tech - $2,265 to $2,511 per week in Seattle, WA

    Travel Mammography Tech - $2,265 to $2,511 per week in Seattle, WA

    LRS Healthcare • Tacoma, Washington, US
    [job_card.full_time]
    Ready to start your next travel adventure? LRS Healthcare offers a full benefits package, 24 / 7 support, and a responsive, traveler-first culture. What are you waiting for? Apply today!.Valid license...[show_more]
    [last_updated.last_updated_variable_days] • [promoted]
    Travel Ultrasound Tech - $2,843 to $3,022 per week in Kirkland, WA

    Travel Ultrasound Tech - $2,843 to $3,022 per week in Kirkland, WA

    Host Healthcare • Tacoma, Washington, US
    [job_card.full_time]
    Host Healthcare is an award-winning travel healthcare company with an immediate opening for this Ultrasonographer position in Kirkland, WA. If you are interested in this position, please contact you...[show_more]
    [last_updated.last_updated_variable_days] • [promoted]
    Manager II, Machine Learning Engineering, Ads Delivery

    Manager II, Machine Learning Engineering, Ads Delivery

    Pinterest • Seattle, Washington, United States
    [job_card.full_time]
    Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to br...[show_more]
    [last_updated.last_updated_1_day] • [promoted]
    Travel Mammography Tech - $2,265 to $2,511 per week in Seattle, WA

    Travel Mammography Tech - $2,265 to $2,511 per week in Seattle, WA

    AlliedTravelCareers • Tacoma, Washington, US
    [job_card.full_time]
    AlliedTravelCareers is working with LRS Healthcare to find a qualified Mammography Tech in Seattle, Washington, 98144!.Ready to start your next travel adventure? LRS Healthcare offers a full benefi...[show_more]
    [last_updated.last_updated_30] • [promoted]
    Senior Manager, Machine Learning Science

    Senior Manager, Machine Learning Science

    Expedia Group • Seattle, WA, United States
    [job_card.full_time]
    Expedia Technology teams partner with our Product teams to create innovative products, services, and tools to deliver high-quality experiences for travelers, partners, and our employees.A singular ...[show_more]
    [last_updated.last_updated_variable_days] • [promoted]
    Machine Learning Engineer II, Special Projects

    Machine Learning Engineer II, Special Projects

    Amazon • Seattle, WA, United States
    [job_card.full_time]
    Innovators wanted! Are you an entrepreneur? A builder? A dreamer? This role is part of an Amazon Special Projects team that pushes the company’s Think Big leadership principle to its limits.If you ...[show_more]
    [last_updated.last_updated_30] • [promoted]
    Job Description Senior Machine Learning Scientist- Search, Recommendations, & AI Engineering (Seattle)

    Job Description Senior Machine Learning Scientist- Search, Recommendations, & AI Engineering (Seattle)

    Expedia Group • Seattle, WA, United States
    [job_card.full_time]
    Our Technology Team partners with teams across Expedia Group to create innovative products, services, and tools to deliver high-quality experiences for travelers, partners, and our employees.A sing...[show_more]
    [last_updated.last_updated_variable_days] • [promoted]
    Travel Clinical Lab Scientist (CLS) - $1,733 to $1,992 per week in Spokane, WA

    Travel Clinical Lab Scientist (CLS) - $1,733 to $1,992 per week in Spokane, WA

    AlliedTravelNetwork • Tacoma, Washington, US
    [job_card.full_time]
    AlliedTravelNetwork is working with Fusion Medical Staffing to find a qualified CLS in Spokane, Washington, 99204!.Travel Clinical Laboratory Scientist (CLS) – Generalist.Facility in Spokane, Washi...[show_more]
    [last_updated.last_updated_variable_days] • [promoted]
    Manager II, Machine Learning Engineering, Ads Identity Modeling

    Manager II, Machine Learning Engineering, Ads Identity Modeling

    Pinterest • Seattle, WA, United States
    [job_card.full_time]
    Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to br...[show_more]
    [last_updated.last_updated_variable_days] • [promoted]
    Senior Manager, Machine Learning Science

    Senior Manager, Machine Learning Science

    Expedia, Inc. • Seattle, WA, United States
    [job_card.full_time]
    Senior Manager, Machine Learning Science.Expedia Group brands power global travel for everyone, everywhere.We design cutting-edge tech to make travel smoother and more memorable, and we create grou...[show_more]
    [last_updated.last_updated_variable_days] • [promoted]
    Manager, Machine Learning Research Scientist, GenAI

    Manager, Machine Learning Research Scientist, GenAI

    Scale AI, Inc. • Seattle, WA, United States
    [job_card.full_time]
    Scale AI accelerates the development of AI systems by providing the data, infrastructure, and tooling that power the most advanced models in the world. Our teams operate at the intersection of cutti...[show_more]
    [last_updated.last_updated_variable_days] • [promoted]
    Machine Learning Engineer II, Pricing

    Machine Learning Engineer II, Pricing

    Uber • Seattle, WA, United States
    [job_card.full_time]
    Uber's Marketplace is at the heart of Uber's business and the Dynamic Supply Pricing (DSP) team develops the models, algorithms, signals, and large-scale distributed systems that power real-time dr...[show_more]
    [last_updated.last_updated_30] • [promoted]
    Travel Mammography Tech - $2,265 to $2,511 per week in Seattle, WA

    Travel Mammography Tech - $2,265 to $2,511 per week in Seattle, WA

    AlliedTravelNetwork • Tacoma, Washington, US
    [job_card.full_time]
    AlliedTravelNetwork is working with LRS Healthcare to find a qualified Mammography Tech in Seattle, Washington, 98144!.Ready to start your next travel adventure? LRS Healthcare offers a full benefi...[show_more]
    [last_updated.last_updated_variable_days] • [promoted]