Principal Scientist, Ring and Blink
1 month ago
Job Summary:
We are seeking a highly skilled Principal Applied Scientist to join our team at Ring and Blink. As a key member of our scientific team, you will be responsible for leading strategic efforts in Computer Vision and Machine Learning areas, covering themes including 3D vision, SLAM, Classic Deep Learning, and Generative AI.
Key Responsibilities:
- Provide thought leadership on Computer Vision and Machine Learning topics and lead strategic efforts in these areas.
- Work with multiple teams of scientists and engineers to translate business and functional requirements into concrete deliverables.
- Develop and implement advanced computer vision and robotics components, including visual-inertial odometry, SLAM, bundle adjustment, loop closure, sparse and dense environment mapping, and 3D reconstruction.
- Collaborate with academic partners to support our in-house talent with direct access to cutting-edge research and mentoring.
Requirements:
- PhD or Master's degree in Computer Vision and Machine Learning or related field.
- 10+ years of experience in Computer Vision and Machine Learning or related field.
- Experience programming in Java, C++, Python or related language.
- Conduct independent research and development work on advanced computer vision and robotics components.
Preferred Qualifications:
- Experience in patents or publications at top-tier peer-reviewed conferences or journals.
- Deep expertise in Computer Vision and Machine Learning as applied to both edge-based classic deep learning approaches and large-scale generative models.
- Proficiency in programming for algorithm and code reviews.
- Track record of shipping complex projects in algorithm design and product development.
- Experience working with real-world data sets and building scalable algorithm solutions from big data.
- Strong prior experience with mentorship and/or management of senior scientists and engineers.
- Exhibits excellent business judgment; balances business, product, and technology very well.
- Effective verbal and written communication skills with non-technical and technical audiences.
About Amazon:
Amazon is committed to a diverse and inclusive workplace. We are an equal opportunity employer and do not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
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