1+ months

Software Engineering Manager (ML engineering)

Amazon.com
Seattle, WA 98104

DESCRIPTION

Interested in Machine Learning? Amazon SageMaker (https://aws.amazon.com/sagemaker/) takes away the heavy-lifting normally associated with large-scale Machine Learning implementations, so that developers and scientists can focus on the truly creative work of modeling and solving the business problem at hand. SageMaker is a fully managed Machine Learning platform that makes machine learning services ease of use, universal and accessible to variety of enterprise users. Amazon SageMaker Autopilot (https://aws.amazon.com/sagemaker/autopilot/) allows you to automatically build machine learning models. SageMaker Autopilot will automatically explore different solutions to find the best model based on the data you provide.

We are seeking a Sr Manager for our SageMaker team. As an Engineering Manager, you will lead and own the innovation in the space of ML services, building compelling functionality and new capabilities for the Amazon SageMaker and SageMaker Autopilot, as we continue to develop more ML services and innovate on ML algorithms to satisfy different customer requirements, such as reinforcement learning and active learning.
You will be responsible for leading a team of ML engineers and scientists in design, development, test, and deployment of ML services. A successful candidate will have an established background in machine learning algorithms and developing ML services, excellent project leadership skills, great communication skills, and a motivation to achieve results in a fast paced environment.

Key Responsibilities:
· Responsible for the over-all systems development life cycle
· Management and execution against project plans and delivery commitments; Manage the day-to-day activities of the engineering team within an Agile/Scrum environment
· Management of departmental resources, staffing, mentoring, and enhancing and maintaining a best-of-class engineering team
· Work closely with the engineers to architect and develop the best ML algorithm design and approach
· Report on status of development, quality, operations, and system performance to management
· Customer engagement and product road map definition
Amazon.com is an Equal Opportunity Employer €“ Minority / Women / Disability / Veteran / Gender Identity / Sexual Orientation / Age

BASIC QUALIFICATIONS

· BS degree or higher in Computer Science, Computer Engineering or related field
· 5+ years experience building machine learning systems
· 2+ years experience in preparing quality metrics and effectively engaging with stakeholders to set and drive quality goals
· 4+ years' experience building, leading, managing and mentoring high-performance engineering teams
· Experience with object-oriented design and implementation (Java, and/or C++), preferably on Linux

PREFERRED QUALIFICATIONS

· MS or PhD in Computer Science or related field
· Technically sound in software development activities and life cycles
· Experience with large scale distributed systems
· Expertise in Kubernetes and hands-on experience operating Kubernetes
· Solid knowledge of Linux fundamentals
· Internet and operating system security fundamentals
· Experience with CNCF ecosystem of various container tools

Categories

Posted: 2020-07-13 Expires: 2020-10-11

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Software Engineering Manager (ML engineering)

Amazon.com
Seattle, WA 98104

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