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Unlock the future of AI at Amazon AGI (Artificial General Intelligence). At Amazon, we're at the forefront of transformative AI, shaping the next generation of intelligent technologies. For over 25 years, we've developed state-of-the-art AI solutions that transform how businesses serve their customers. Today, as AI stands ready to reshape society, we're pushing beyond current breakthroughs in generative AI toward the next frontier. Join our team of scientists, engineers, and experts to help define the future of artificial intelligence. AGI is dedicated to pushing the boundaries of what's possible, using Amazon's unparalleled ML infrastructure, computing resources, and commitment to responsible AI principles. We're looking for the brightest minds from a wide range of backgrounds and experiences to help create transformative AI solutions that will improve lives, solve global challenges, and open up new realm of possibility, from reinventing commerce and accelerating enterprise productivity to advancing universal agents and shaping the future of robotics. We are looking for a talented Senior Machine Learning Engineer to help us develop state-of-the-art, next generation web search capabilities within Amazon AGI.
Job Responsibility:
build and automate training data generation
accelerate experimental velocity
improve system understandability
push model performance to limits
optimize model inference to maximize hardware utilization, reducing GPU inference latency, balancing trade-offs with quality for performance
Requirements:
5+ years of non-internship professional software development experience
5+ years of programming with at least one software programming language experience
5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
Experience as a mentor, tech lead or leading an engineering team
3+ years of experience with technologies such as AWS, Glue, Redshift, Airflow, Spark, Kafka, Kubernetes, Redis
Nice to have:
5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
Bachelor's degree in computer science or equivalent
Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems
Experience in machine learning, data mining, information retrieval, statistics or natural language processing
2+ years of building large-scale machine-learning infrastructure for online recommendation, ads ranking, personalization or search experience
2+ years of experience with technologies such as Sagemaker,Triton, Pytorch, Onnx, MLFlow, Flyte
What we offer:
health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)