AmazonApplied Science Manager, Computer Vision, Perception Science, Prime Air Vehicle Software
Amazon is hiring an Applied Science Manager, Computer Vision, Perception Science, Prime Air Vehicle Software in Seattle, United States. It pays $184k-$249k a year and Level rates it ; you can apply on Amazon.
Level's read on this job
- Builds AI ●●●● is how Level rates this role: the job is building AI systems.
- The posting mentions PyTorch, TensorFlow and computer vision among its tools and skills.
- Level classes it as a lead role.
- Amazon has 20,000+ other open roles on Level.
AI in this role
Lead an applied science team developing computer vision and machine learning models for autonomous drone perception and navigation.
In this high-impact role, you'll guide the development of perception systems combining radar, machine learning, and distributed computing to solve unprecedented challenges in autonomous flight. Your work will directly shape the future of Amazon's drone delivery service, bringing innovative solutions to customers while pushing the boundaries of what's possible in autonomous systems technology.
Key job responsibilities
Lead and mentor a team of scientists and software engineers developing advanced perception systems that integrate computer vision, machine learning algorithms, and detect-and-avoid capabilities for autonomous drones
Define and drive the technical vision and roadmap for perception technology, making strategic architectural decisions that balance current delivery needs with long-term innovation goals
Collaborate with cross-functional teams including hardware engineers, autonomy specialists, and product stakeholders to deliver scalable, distributed systems that meet rigorous safety and performance requirements
Establish audit mechanisms and metrics to track system performance, model accuracy, and team progress against goals, using data-driven insights to continuously improve customer experience
Build and grow an inclusive, high-performing team through effective hiring, mentoring, and career development while fostering a culture of innovation and technical excellence
About the team
The Perception team is at the heart of Amazon's autonomous drone delivery initiative, developing the advanced computer vision and machine learning systems that enable safe, reliable flight operations. Our team tackles fascinating challenges at the intersection of radar technology, distributed computing, and real-time detection algorithms, creating solutions that have never been built before. We work in an innovative, collaborative environment where every scientists and engineer's contribution directly impacts the future of delivery technology. As we scale Amazon's drone delivery to new locations, you'll help shape both the technical direction and team culture that will define this transformative service for years to come.
Basic qualifications
- 3+ years of scientists or machine learning engineers management experience
- Knowledge of ML, NLP, Information Retrieval and Analytics
- Master's degree, or PhD
- Experience with video and image processing and compression algorithms and standards, computer vision and/or machine learning
Preferred qualifications
- Experience building machine learning models or developing algorithms for business application
- Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers
- Experience with deep learning libraries such as PyTorch, TensorFlow, MxNet Research publications in computer vision, deep learning or machine learning at peer-reviewed workshops, conferences or journals
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Seattle - 183,800.00 - 248,700.00 USD annually
How we rate this
Applied Science Manager, Computer Vision, Perception Science, Prime Air Vehicle Software at Amazon rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Walk me through a computer vision problem you solved, from raw data to a deployed model.
- What NLP problem have you worked on, and how did you measure whether it actually worked?
- Tell me about a project where machine learning was part of your work. What did you do?
- Tell me about a project where autonomous systems was part of your work. What did you do?
- Tell me about a project where team leadership was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Computer vision, NLP, Machine learning, Autonomous Systems, and Team Leadership. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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