Machine Learning Engineer, AGI Information

$129,300 - $223,600/Yr

Amazon - Boston, MA

Full-time - Mid Level

Boston, MA

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

About the position

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

Responsibilities

• Build and automate training data generation for web information retrieval and ranking models.
• Develop a data pipeline for producing high-quality training datasets.
• Improve data quality by mining for hard negatives and incorporating various quality dimensions.
• Scale the data pipeline to handle billions of examples.
• Work closely with scientists to address specific modeling needs.
• Develop leveraged systems to accelerate experimental velocity.
• Centralize evaluation workflows and streamline production model optimization and deployment.
• Develop advanced analytics and automate failure space analysis processes.
• 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 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 experience.
• 2+ years of experience with machine learning, statistical modeling, data mining, and analytics techniques.

Benefits

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