Applied Science Manager - Perception, Amazon Robotics
Amazon.com Services LLC
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This role on the market
53 open perception roles across 14 companies are on ApplySarthi right now.
- Research Engineer — Vision & PerceptionBleu Robotics
- Software Engineer, Perception & VisionLaelaps
- Principal Engineer, ADAS Camera Systems & Perception IntegrationGeneralmotors
- Senior Perception Component Platform LeadCat
- Senior Machine Learning Engineer, Perception - Autonomous DrivingNvidia
What perception roles keep asking for: Python (42%), C++ (36%), Computer vision (30%), Machine learning (30%), PyTorch (25%), Deep learning (17%) — counted across their open postings here.
Applied Science Manager jobs in the United States · Computer vision jobs · Deep learning jobs · Machine learning jobs · PyTorch jobs
Amazon.com Services LLC has 4,316 open roles listed here.
- Delivery Station Customer Service Associate
- Delivery Station Customer Service Associate, DSL
- Senior Business Intelligence Engineer, North America Supply Chain Execution Strategy
- Mechatronics & Robotics Tech
- Automation Engineer Manager
Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for perception roles keep coming back to Python, C++, Computer vision, Machine learning. Practise those questions before you sit with Amazon.com Services LLC.
Questions you are likely to be asked
- Why do you want to join Amazon.com Services LLC?
- What is your experience with Machine learning? Tell me one thing you learned the hard way.
- Tell me about yourself, and why this role is the right next step.
- Tell me about a problem you solved at work that you are proud of.
- Tell me about a time you disagreed with your manager. What happened?
Prep Sarthi gives you a free mock interview: an AI interviewer asks you questions like these out loud, from your own CV and this job, and shows your score and your weakest answer.
Practise the Applied Science Manager - Perception, Amazon Robotics at Amazon.com Services LLC interview free →Do you want to create intelligent, adaptable robots with global impact? The Vulcan Stow team (https://www.amazon.science/latest-news/how-amazon-robotics-researchers-are-solving-a-beautiful-problem) at Basic qualifications: - PhD, or Master's degree and 4+ years of industry or academic research experience - 6+ years of applied research experience - 3+ years of scientists or machine learning engineers management experience - Experience building machine learning models or developing algorithms for business application - 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 - Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations Preferred: - Experience hiring and growing top talent - Deep expertise in 3D perception architectures - including encoder-decoder networks, vision transformers, multi-view reconstruction, point cloud processing and generative 3D models for scene completion 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
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Listed on amazon · posted 2026-09-18. ApplySarthi collects openings and links to application pages; the role is advertised by Amazon.com Services LLC, not by us.