Software Development Engineer
Description
Interested in delivering Natural Language Understanding (NLU) engineering solutions for Alexa working closely with a team of scientists in the Machine Learning (ML) space? The Amazon Alexa NLU team is a group of scientists and software engineers working on natural language solutions that push the envelope in the NLU space, in order to revolutionize how customers interact with Amazon's products and services. Products such as Amazon Echo, Echo Show, and Fire TV are illustrative of the user-delighting spoken language solutions Amazon is building.
As a Sr. Software Development Engineer, you will be responsible for designing, developing, testing, and deploying distributed machine learning systems and large-scale data mining solutions for NLU. In this, you will collaborate closely with a team of speech and ML scientists to influence our overall strategy, and define the team's road map. You will also drive the system architecture, spearhead best practices that enable a quality product, and help coach and develop junior engineers. A successful candidate will have an established background in engineering large scale software systems, a strong technical ability, great communication skills, and a motivation to achieve results in a fast paced environment.
Responsibilities:
Lead the development and maintenance of key ML systems and infrastructure for NLU in Alexa with the goal to deliver high quality software against aggressive schedules
Actively participate in defining strategy, roadmaps and architecture for the team's products
Work with other team members to investigate best design approaches, prototype new technology and evaluate technical feasibility
Mentor and help develop junior engineers, and demonstrate best development practices
Basic Qualifications
BS in Computer Science or equivalent
2
years of industry experience with at least some experience as team lead or architect
Strong programming skills in at least one object-oriented language (e.g., Java, Python, C/C++)
Mastery of the tools of the trade, including experience with a variety of modern programming languages (e.g., Java, JavaScript, C/C++, Objective C, Python, Ruby) and open-source technologies (e.g., Linux, SQLite, OpenGL, Spring, Hadoop, Spark, Mesos, Rails)
Experience with machine learning, big data or large scale distributed systems for commercial online services
Preferred Qualifications
Advanced degree (MS, PhD)
Strong sense of ownership, customer obsession, and drive
Experience developing machine learning software and an understanding of design for scalability, performance and reliability
Sharp analytical abilities and proven design skills
Experience in data modeling and analysis, especially with distinctive data sources
Demonstrated leadership abilities in an engineering environment in driving operational excellence and best practices
Excellence in technical communication with peers and non-technical cohorts
Demonstrated ability to achieve stretch goals in a highly innovative and fast paced environment
Amazon.com is an Equal Opportunity-Affirmative Action Employer Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation
. Apply now!Estimated Salary: $20 to $28 per hour based on qualifications.
Interested in delivering Natural Language Understanding (NLU) engineering solutions for Alexa working closely with a team of scientists in the Machine Learning (ML) space? The Amazon Alexa NLU team is a group of scientists and software engineers working on natural language solutions that push the envelope in the NLU space, in order to revolutionize how customers interact with Amazon's products and services. Products such as Amazon Echo, Echo Show, and Fire TV are illustrative of the user-delighting spoken language solutions Amazon is building.
As a Sr. Software Development Engineer, you will be responsible for designing, developing, testing, and deploying distributed machine learning systems and large-scale data mining solutions for NLU. In this, you will collaborate closely with a team of speech and ML scientists to influence our overall strategy, and define the team's road map. You will also drive the system architecture, spearhead best practices that enable a quality product, and help coach and develop junior engineers. A successful candidate will have an established background in engineering large scale software systems, a strong technical ability, great communication skills, and a motivation to achieve results in a fast paced environment.
Responsibilities:
Lead the development and maintenance of key ML systems and infrastructure for NLU in Alexa with the goal to deliver high quality software against aggressive schedules
Actively participate in defining strategy, roadmaps and architecture for the team's products
Work with other team members to investigate best design approaches, prototype new technology and evaluate technical feasibility
Mentor and help develop junior engineers, and demonstrate best development practices
Basic Qualifications
BS in Computer Science or equivalent
2
years of industry experience with at least some experience as team lead or architect
Strong programming skills in at least one object-oriented language (e.g., Java, Python, C/C++)
Mastery of the tools of the trade, including experience with a variety of modern programming languages (e.g., Java, JavaScript, C/C++, Objective C, Python, Ruby) and open-source technologies (e.g., Linux, SQLite, OpenGL, Spring, Hadoop, Spark, Mesos, Rails)
Experience with machine learning, big data or large scale distributed systems for commercial online services
Preferred Qualifications
Advanced degree (MS, PhD)
Strong sense of ownership, customer obsession, and drive
Experience developing machine learning software and an understanding of design for scalability, performance and reliability
Sharp analytical abilities and proven design skills
Experience in data modeling and analysis, especially with distinctive data sources
Demonstrated leadership abilities in an engineering environment in driving operational excellence and best practices
Excellence in technical communication with peers and non-technical cohorts
Demonstrated ability to achieve stretch goals in a highly innovative and fast paced environment
Amazon.com is an Equal Opportunity-Affirmative Action Employer Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation
. Apply now!Estimated Salary: $20 to $28 per hour based on qualifications.
|
|
 | |
