Senior Machine Learning Engineer

2 days ago


Miami, United States Amazon Services Inc Full time
About Us:
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform, providing a robust suite of products and services to power businesses worldwide. Our pioneering spirit and commitment to innovation have earned us the trust of startups and Fortune 500 companies alike, who rely on our scalable and secure infrastructure to drive their growth.

The Opportunity:
Join our dynamic team as a Senior Deep Learning Architect and contribute to groundbreaking projects that are transforming industries and changing lives. This high-profile role offers a unique chance to apply your expertise in Generative AI and machine learning to real-world problems, working closely with top talent from across the globe.

Your Key Responsibilities:
* Lead the design and implementation of innovative Generative AI solutions, leveraging your expertise in machine learning and software engineering
* Collaborate with cross-functional teams to drive customer success and deliver exceptional results
* Stay at the forefront of technological advancements, applying your knowledge to drive business outcomes and stay ahead of the competition

What We Offer:
* A highly competitive base salary of $185,000 - $220,000 per year, reflecting the cost of labor across multiple US geographic markets, plus equity, sign-on payments, and other forms of compensation as part of a total compensation package
* A comprehensive benefits package, including medical, financial, and other perks designed to support your well-being and career growth

Requirements:
* Bachelor's degree in Computer Science, Engineering, Mathematics, or equivalent
* Strong experience in software development with object-oriented languages, cloud-based solutions (AWS or equivalent), and database management systems (e.g., SQL, NoSQL, Hadoop, Spark)
* Experience hosting and deploying ML solutions, preferably on AWS services such as SageMaker, Bedrock, EMR, S3, OpenSearch Service, Step Functions, Lambda, and EC2

Preferred Qualifications:
* Master's or PhD degree in Computer Science or related field
* In-depth knowledge of deep learning, machine learning, and statistics, along with hands-on experience with deep learning frameworks (e.g., CNN, RNN, LSTM, Transformer) and distributed training methods
* Excellent communication skills, with the ability to convey complex mathematical concepts to non-experts

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