Amazon Senior Deep Learning Architect GenAI Innovation Center 

United States, New York, New York 

441535616

You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.We’re looking for top architects, system and software engineers capable of using ML, Generative AI and other techniques to design, evangelize, implement and fine tune state-of-the-art solutions for never-before-solved problems.
Key job responsibilitiesAnalyze and extract relevant information from large amounts of historical data to help automate and optimize key processesEnsure the system is scalable and capable of handling large datasets and high-demand workloads to support Gen AI initiatives.
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance
Sales, Marketing and Global Services (SMGS)

- Bachelor of Science degree in Computer Science, or related technical, math, or scientific field (or equivalent experience)
- At least 5 years of experience in designing, building, and/or operating large scale enterprise IT systems in a production environment
- At least 3 years of public cloud computing experience in AWS or other large scale cloud providers
- Relevant experience hosting and deploying ML solutions (e.g., for training, fine tuning, and inference)
- Experience coding in Python, R, Matlab, Java or other modern programming languages

- Masters or PhD degree in computer science, or related technical, math, or scientific field
- Strong working knowledge of deep learning, machine learning, generative AI, and statistics
- Hands on experience building models with deep learning frameworks like MXNet, Tensorflow, Caffe, Torch, Theano or similar and deep learning (e.g., CNN, RNN, LSTM)
- Strong communication skills, with attention to detail and ability to convey mathematical concepts and considerations to non-experts