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Seasonal Amazon Computer Science Jobs (NOW HIRING)

Principal Research Scientist, Amazon Connect

New York, NY · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... computer science, or any related quantitative field - Experience working effectively with science ... Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran ...

Principal Applied Scientist, Amazon Braket

New York, NY · On-site

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  • Retirement

  • PTO

... Computer Science, Mathematics, or related technical field PREFERRED QUALIFICATIONS - 10+ years of relevant work in industry or academia experience - Knowledge of problem solving, algorithm design and ...

Senior Applied Scientist

San Francisco, CA · On-site

$107K - $147K/yr

Required : • Experience programming in Java, C++, Python or related language • PhD in computer ... Amazon Science showcases Amazon's scientific research, publications, and collaborations across AI ...

... Computer Science or a related field and two years of experience in the job offered or a related ... Amazon.com is an Equal Opportunity-Affirmative Action Employer - Minority / Female / Disability ...

Embedded Software Engineer, Amazon Leo

Austin, TX · On-site

$130K - $171K/yr

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  • Life

  • Retirement

  • PTO

... computer science or equivalent - Bachelor's degree in computer science or equivalent - 5+ years of full software development life cycle, including coding standards, code reviews, source control ...

Sr Manager, Data Science & AI, R2L

Bellevue, WA · On-site

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  • PTO

The R2L team is responsible for building the next generation supply chain for Amazon's world-class ... as seasonal or temporary employment. The benefits that generally apply to regular, full-time ...

Showing results 21-40

Seasonal Amazon Computer Science information

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Infographic showing various Seasonal Amazon Computer Science job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 3% Contract, and 1% Nights. Highlights an 80% Physical, 2% Hybrid, and 18% Remote job distribution.

Senior Applied Scientist, Navigation

Amazon Science

San Francisco, CA • On-site

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Job Summary:
Amazon is on a mission to redefine the future of automation, and they are seeking a Senior Applied Scientist specializing in Navigation to help lead the way. This role involves architecting and delivering intelligent navigation systems for advanced robotic systems, leveraging expertise in machine learning and control theory.
Responsibilities:
• Design, develop, and deploy perception algorithms for robotics systems, including object detection, segmentation, tracking, depth estimation, and scene understanding
• Lead research initiatives in computer vision, sensor fusion and 3D perception
• Collaborate with cross-functional teams including robotics engineers, software engineers, and product managers to define and deliver perception capabilities
• Drive end-to-end ownership of ML models — from data collection and labeling strategy to training, evaluation, and deployment
• Mentor junior scientists and engineers; contribute to a culture of technical excellence
• Define and track key metrics to measure perception system performance in real-world environments
• Publish research findings in top-tier venues (CVPR, ICCV, ECCV, ICRA, NeurIPS, etc.) and contribute to patents
• Train ML models for deployment in simulation and real-world robots, identify and document their limitations post-deployment
• Drive technical discussions within your team and with key stakeholders to develop innovative solutions to address identified limitations
• Actively contribute to brainstorming sessions on adjacent topics, bringing fresh perspectives that help peers grow and succeed — and in doing so, build lasting trust across the team
• Mentor team members while maintaining significant hands-on contribution to technical solutions
Qualifications:
Required:
• Experience programming in Java, C++, Python or related language
• Have publications at top-tier peer-reviewed conferences or journals
• PhD in Robotics, Computer Science, Electrical Engineering, Controls, or a related field
• 5+ years of experience in robot navigation, motion planning, or autonomous systems
• Deep expertise in learning-based approaches to navigation (e.g., imitation learning, reinforcement learning, neural motion planning, diffusion-based policies)
• Strong experience with Model Predictive Control (MPC) and optimization-based planning (PyTorch, JAX, or equivalent)
• Proven track record of translating research into deployed systems
Preferred:
• Experience applying foundation models or large pre-trained models to robotics tasks (navigation, manipulation, or embodied AI)
• Familiarity with world models, visual navigation, or vision-languageaction models
• Experience with sim-to-real transfer and high-fidelity simulation environments (Isaac Sim, MuJoCo, Gazebo)
• Knowledge of SLAM, localization, and mapping systems
• Experience with ROS/ROS2 and real-time robotics middleware
• Hands-on experience deploying navigation systems on physical robots in dynamic, real-world environments
• Experience with safety-critical systems and formal verification of learned controllers
• Familiarity with multi-agent coordination and fleet-level navigation
Company:
Amazon Science showcases Amazon’s scientific research, publications, and collaborations across AI, machine learning, and related fields. Founded in 2020, the company is headquartered in Seattle, Washington, US, , with a team of 10001+ employees. The company is currently Late Stage.