Machine Learning Engineer, AGI Information

$129,300 - $223,600/Yr

Amazon - Sunnyvale, CA

Full-time - Mid Level

Sunnyvale, CA

Sporting Goods, Hobby, Musical Instrument, Book, and Miscellaneous Retailers

About the position

The Machine Learning Engineer position at Amazon AGI involves developing advanced web search capabilities and intelligent assistant products. The role focuses on building and automating training data generation, accelerating experimental velocity, and improving system understandability through advanced analytics and automation. The engineer will work closely with a multidisciplinary team to enhance search quality and streamline production processes.

Responsibilities

• Build and automate training data generation for web information retrieval and ranking models.
• Develop a data pipeline to produce high-quality training datasets, impacting search quality significantly.
• Improve data quality by mining for hard negatives and incorporating various quality dimensions.
• Scale the data pipeline to handle billions of examples.
• Work with scientists to address specific modeling needs and develop metrics for data quality and scale.
• Accelerate experimental velocity by developing leveraged systems for faster experimentation.
• Centralize evaluation workflows and streamline production model optimization and deployment.
• Develop advanced analytics and automate failure space analysis processes to debug search quality issues.
• Coordinate metrics for the information retrieval engine with user signals or downstream dependencies.

Requirements

• 3+ years of non-internship professional software development experience.
• 2+ years of design or architecture experience of new and existing systems.
• Experience programming with at least one software programming language.
• 3+ years of experience with big data technologies such as AWS, Hadoop, Spark, Pig, Hive, Lucene/SOLR or Storm/Samza.

Nice-to-haves

• 3+ years of full software development life cycle experience, including coding standards, code reviews, and testing.
• Bachelor's degree in computer science or equivalent.
• 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.
• 2+ years of experience in machine learning, statistical modeling, data mining, and analytics techniques.

Benefits

• Medical insurance
• Financial benefits including equity and sign-on payments
• Comprehensive employee benefits package