At a Glance
- Tasks: Design and develop cutting-edge algorithms for computer vision to enhance safety.
- Company: Join Ring, a leader in innovative technology for safer neighborhoods.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and career advancement.
- Why this job: Make a real impact on user experiences with advanced computer vision technology.
- Qualifications: PhD or Master's with 4+ years in machine learning and programming skills.
The predicted salary is between 135000 - 165000 $ per year.
Elevate your career as an Applied Scientist in Computer Vision at Ring, where your expertise will impact millions. Drive innovation by developing cutting-edge algorithms to enhance safety in neighborhoods. Join a dedicated team pushing the boundaries of computer vision and machine learning. This role demands experience in Multi-modal LLMs and Vision Language Models, along with strong collaboration with Amazon teams for optimal technology integrations. Your significant contributions will shape the best user experiences for Ring devices, ensuring data-driven solutions.
Key Responsibilities:
- Design and develop data-driven models for computer vision
- Research state-of-the-art Vision Language models algorithms
- Collaborate with product managers to implement innovative features
- Influence technology selection and system design decisions
Requirements:
- PhD or Master's with 4+ years of related experience
- Proven skills in building machine learning models
- Proficiency in Java, C++, Python or similar
Bring your expertise in computer vision and machine learning to make a real difference at Ring.
Applied Scientist in Computer Vision in Toronto employer: Amazon
At Amazon, we pride ourselves on being an exceptional employer, especially for those passionate about cutting-edge technology in the heart of Vancouver. Our inclusive work culture fosters innovation and collaboration, providing employees with ample opportunities for professional growth and mentorship. With comprehensive benefits and a commitment to operational excellence, we empower our team to push the boundaries of autonomous AI systems that are transforming financial operations at scale.
