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Senior Applied Scientist in AI/ML
2 months ago
About the Role
AWS AI/ML is seeking exceptional scientists and engineers to become part of its AI Research and Education team, focusing on foundational models, extensive representation learning, and distributed learning methodologies.
Your Responsibilities
In this role, you will innovate, develop, and implement cutting-edge machine learning algorithms and systems. You will create prototypes and explore new representation learning solutions while collaborating closely with our customers and engaging with academic and research communities.
Key Areas of Focus
You will be involved in:
- Efficient model architecture informed by hardware considerations, training objectives, and curriculum design.
- Distributed training and accelerated optimization techniques.
- Continual learning and multi-task/meta learning approaches.
- Reasoning, interactive learning, and reinforcement learning methodologies.
- Ensuring robustness, privacy, and model watermarking.
- Model compression techniques including distillation, pruning, sparsification, and quantization.
About Our Team
AWS Utility Computing (UC) is dedicated to delivering product innovations, ranging from foundational services to new product developments that distinguish AWS in the industry. As a member of the UC organization, you will contribute to the development and management of services across Compute, Database, Storage, IoT, Platform, and Productivity Applications.
Diversity and Inclusion
AWS values diverse experiences. We encourage candidates from all backgrounds to apply, even if they do not meet every qualification listed.
Why Choose AWS?
Amazon Web Services (AWS) is the leading cloud platform, trusted by startups and Global 500 companies alike. Our commitment to innovation drives us to continuously enhance our services.
Team Culture
At AWS, we foster a culture of learning and curiosity. Our employee-led affinity groups promote inclusion and celebrate our differences through various events and learning opportunities.
Career Development
We are dedicated to mentorship and knowledge-sharing, providing resources to help you grow as a professional.
Work-Life Balance
We prioritize work-life harmony, striving for flexibility in our work culture to support our employees both at work and at home.
Hybrid Work Model
We recognize the importance of both focused work and in-person collaboration, offering options for a flexible, hybrid work model.
Basic Qualifications
To be considered for this position, candidates should have:
- 3+ years of experience in building models for business applications.
- A PhD or a Master's degree with 4+ years of experience in Computer Science, Computer Engineering, Machine Learning, or a related field.
- A track record of patents or publications in top-tier peer-reviewed conferences or journals.
- Proficiency in programming languages such as Java, C++, Python, or similar.
- Experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, and high-performance computing.
Preferred Qualifications
Experience with Unix/Linux and professional software development is a plus.
Commitment to Diversity
Amazon is an equal opportunity employer, committed to creating a diverse and inclusive workplace.
