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2027 Applied Science Intern (Computer Vision), Amazon International Machine Learning

InternContractHybridMelbourne VIC, AustraliaDataSoftware engineeringPosted 3 weeks agoVerified 3 weeks ago
Think you're a good fit?See what the hiring team are looking for

About the job

The Applied Scientist Intern position at Amazon offers an exciting opportunity to leverage cutting-edge Computer Vision algorithms and large datasets to address real-world challenges. This role is crucial in driving AI innovation, allowing team members to develop solutions that may directly impact customer-facing products. Collaboration within a fast-paced, cross-disciplinary team of pioneering researchers is at the heart of this journey, fostering an environment where creativity and technical expertise thrive.

You'll be responsible for

💡

Developing solutions

Develop novel solutions and build prototypes to tackle complex problems in Computer Vision and Machine Learning.
👥

Collaborating with experts

Collaborate with a diverse team of experts in a fast-paced environment to drive innovation.
📊

Presenting research findings

Present research findings to both technical and non-technical audiences, showcasing impactful solutions.

Key criteria

🧠

PhD enrollment in relevant field

Currently enrolled in a PhD program in Computer Science, Electrical Engineering, or related field.

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🔍

Research experience in computer vision

Demonstrated research experience in Computer Vision or Machine Learning.

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📜

Publications in top-tier conferences

Proven publications in conferences like CVPR, ICCV, NeurIPS, or ICML.

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Meet the team

About the company

View your fit

5 criteria for this job
PhD enrollment in relevant field
Currently enrolled in a PhD program in Computer Science, Electrical Engineering, or related field.

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Research experience in computer vision
Demonstrated research experience in Computer Vision or Machine Learning.

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Publications in top-tier conferences
Proven publications in conferences like CVPR, ICCV, NeurIPS, or ICML.

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Strong programming skills
Proficient programming skills, preferably in Python.

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Collaboration in diverse teams
Experience collaborating with diverse teams in fast-paced environments.

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