Computer Vision Scientist , International Machine Learning, Australia Job ID: 2791516 | Amazon Support Services Pty Ltd
Join Our Innovative Computer Vision Team at Amazon, Australia
Are you passionate about developing generative models to transform the next generation of e-commerce platform and build AI models used by millions of customers?
We invite you to be part of our high-performing Computer Vision team at Amazon located in Melbourne, Australia.
As a member of our international Machine Learning group, you will play a key role in developing generative AI solutions that leverage vast amounts of Amazon data and powerful cloud computing resources.
Our mission is to create next-generation media content that delivers an unforgettable shopping experience for our customers in emerging marketplaces.
We are seeking talented Computer Vision Scientists with a Ph.D. in a related field.
This is an opportunity for you to build innovative AI techniques that tackle real-world business challenges.
Join a team dedicated to advancing AI technology at Amazon and transforming it into impactful business solutions.
Key job responsibilities:
Develop scalable machine learning and computer vision solutions to revamp the media block of our catalog Analyze and extract meaningful insights from large volumes of Amazon's data to automate and enhance content Design, build, and evaluate generative AI models tailored to our business use cases Communicate clearly with business stakeholders to understand and align on requirements Conduct cutting-edge research and implement novel machine learning techniques to solve customer problems Mentor interns and junior scientists Publish papers at Tier-1 CV/ML conferences BASIC QUALIFICATIONS PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience Experience programming in Java, C++, Python or related language Have publications on top-tier conferences, such as CVPR, ICCV, ECCV or NeurIPS Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning PREFERRED QUALIFICATIONS Experience developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms 5+ years of building machine learning models or developing algorithms for business application experience Experience using Unix/Linux Experience with popular deep learning frameworks such as MxNet and Tensor Flow Posted: October 3, 2024 (Updated 1 day ago)
#J-18808-Ljbffr