Deep Learning Architect, AWS Generative AI Innovation Center

Job Overview

Join Amazon Web Services (AWS) as a Deep Learning Architect at the Generative AI Innovation Center in New York. This role is at the forefront of Machine Learning and AI, where you will apply cutting-edge Generative AI algorithms to solve real-world problems with significant impact. You will work with a strategic team of strategists, data scientists, engineers, and solution architects to help AWS customers implement Generative AI solutions and realize transformational business opportunities.

Key Responsibilities

• Utilize ML and Generative AI tools, such as Amazon SageMaker and Amazon Bedrock, to provide scalable cloud environments for customers to label data, build, train, tune, and deploy models.
• Collaborate with data scientists to create and fine-tune scalable ML and Generative AI solutions for business problems.
• Interact directly with customers to understand their business problems and aid in the implementation of their ML ecosystem.
• Analyze and extract relevant information from large amounts of historical data to help automate and optimize key processes.
• Work closely with account teams, research scientist teams, and product engineering teams to drive model implementations and new algorithms.

About You

We are 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.

Basic Qualifications

• Bachelor of Science degree in Computer Science, or related technical, math, or scientific field (or equivalent experience).
• Experience coding in Python, R, Matlab, Java, or other modern programming languages.
• 1+ years of cloud-based solution (AWS or equivalent), system, network, and operating system experience.
• 2+ years of experience hosting and deploying ML solutions (e.g., for training, fine-tuning, and inferences).
• 2+ years of database experience (e.g., SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis).

Preferred Qualifications

• Masters or PhD degree in computer science, or related technical, math, or scientific field.
• Strong working knowledge of deep learning, machine learning, and statistics.
• Experience with AWS services such as SageMaker, Bedrock, EMR, S3, OpenSearch Service, Step Functions, Lambda, and EC2.
• Hands-on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer), machine learning, CV, GNN, or distributed training.
• Strong communication skills, with attention to detail and ability to convey rigorous mathematical concepts and considerations to non-experts.

Why AWS?

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Work/Life Balance

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

Inclusive Team Culture

Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empowers us to be proud of our differences. Ongoing events and learning experiences inspire us to never stop embracing our uniqueness.

Mentorship and 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.

Compensation

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118,200/year in our lowest geographic market up to $204,300/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.