- M.
S.
degree in Computer Science and Engineering, Electrical Engineering, Mathematics, or related disciplines.
- 10+ years of software development experience in high performance computing, machine learning, deep learning, distributed training, systems architecture, or related areas.
- Strong working knowledge of programming languages in Python and C/C++.
AWS AI/ML is looking for world class scientists and engineers to join its AI Research and Education group working on foundation models, large-scale representation learning, and distributed learning methods and systems.
At AWS AI/ML you will invent, implement, and deploy state of the art machine learning algorithms and systems.
You will build prototypes and innovate on new representation learning solutions.
You will interact closely with our customers and with the academic and research communities.
You will be at the heart of a growing and exciting focus area for AWS and work with other acclaimed engineers and world famous scientists.
Large-scale foundation models have been the powerhouse in many of the recent advancements in computer vision, natural language processing, automatic speech recognition, recommendation systems, and time series modeling.
Developing such models requires not only skillful modeling in individual modalities, but also understanding of how to synergistically combine them, and how to scale the modeling methods to learn with huge models and on large datasets.
Join us to work as an integral part of a team that has diverse experiences in this space.
We actively work on these areas:
• Representation learning
• Self-supervised/Unsupervised learning
• Multi-modal learning
• Multi-task learning
• Model compression & distillation
• Accelerated optimization methods
• Privacy and federated learning
• Transfer learning
• Model robustness and faithful generation
• Explainability
• Large-scale distributed systems
We are open to hiring candidates to work out of one of the following locations:
New York, NY, USA
- Ph.
D.
degree in Computer Science and Engineering, Electrical Engineering, Mathematics, or related disciplines.
- 10+ years technical leadership role in machine learning, HPC or related areas.
- Experience with deep learning frameworks such as Pytorch, TensorFlow, JAX, MXNet.
- Research experiences related to machine learning, deep learning, NLP, CV, GNN, or distributed training.
- Published and/or presented papers at ACL, NAACL, EMNLP, AACL, ICML, NeurIPS, AISTATS, CVPR, ICCV, ECCV, OSDI, Eurosys, SC, SIGCOMM or similar top-tier conferences and events.
Amazon is committed to a diverse and inclusive workplace.
Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
For individuals with disabilities who would like to request an accommodation, please visit https://www.
amazon.
jobs/en/disability/us.
Our compensation reflects the cost of labor across several US geographic markets.
The base pay for this position ranges from $159,100/year in our lowest geographic market up to $309,400/year in our highest geographic market.
Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience.
Amazon is a total compensation company.
Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.
For more information, please visit https://www.
aboutamazon.
com/workplace/employee-benefits.
Applicants should apply via our internal or external career site.
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