Computer Vision Scientist (Fixed Term), International Machine Learning, Australia
Job ID: 2868994 | Amazon Support Services Pty Ltd
Join Our Innovative Computer Vision Team at Amazon, Australia
Are you passionate about developing computer vision models to transform the shopping experience for fresh produce and build AI models for fresh monitoring at scale? We invite you to be part of our high-performing Computer Vision team at Amazon, Australia.
As a member of our international Machine Learning group, you will play a key role in building AI solutions that leverage vast amounts of Amazon data and cloud computing resources.
Our mission is to build next-generation AI systems that monitor fresh produce 24/7 and ensure we deliver the best quality solution to our customers. 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:
1. Develop scalable machine learning and computer vision solutions for the fresh monitoring system.
2. Analyze and extract meaningful insights from large volumes of Amazon's data to automate and enhance content.
3. Design, build, and evaluate generative AI models tailored to our business use cases.
4. Communicate clearly with business stakeholders to understand and align on requirements.
5. Conduct state-of-the-art research and implement novel machine learning techniques to solve customer problems.
6. Mentor interns and junior scientists.
BASIC QUALIFICATIONS
1. PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience.
2. Experience programming in Java, C++, Python or related language.
3. Have publications on top-tier conferences, such as CVPR, ICCV, ECCV or NeurIPS.
4. Experience in state-of-the-art deep learning models architecture design, deep learning training and optimization, and model pruning.
PREFERRED QUALIFICATIONS
1. Experience developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms.
2. 5+ years of building machine learning models or developing algorithms for business application experience.
3. Experience using Unix/Linux.
4. Experience with popular deep learning frameworks such as MxNet and TensorFlow.
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