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Sr. Software Development Engineer - Machine Learning
Date de publication
1 month ago(17-12-2018 10:18)
Reference du poste
Amazon Development Center Germany GmbH
Company/Location (search) : Country (Full Name)
Join us to create a new team for a new AWS service! We bring the power of Machine Learning (ML) to new application fields. With products such as Amazon Transcribe, Amazon Rekognition and Amazon Sagemaker, we are setting the standard for high-performance, easy-to-use and cost-effective ML services. Our team expands this portfolio to new applications and industries.
As a Senior Software Development Engineer, you will play a key role in building a new team and leading it into uncharted territory. The team will be responsible for designing, developing, testing, and deploying distributed machine learning systems and large-scale solutions for our world-wide customer base. You will collaborate closely with a team of 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 distributed software systems, a strong technical ability, great communication skills, and a motivation to achieve results in a fast paced environment.
BS in Electrical Engineering or equivalent
7+ years of industry experience with at least some experience as team lead or architect
Extensive experience in distributed systems
Strong programming skills in at least one object-oriented language
Mastery of the tools of the trade, including experience with Linux, SDEs, modern programming languages and open-source technologies
Strong sense of ownership, customer obsession, and drive to make systems work end-to-end
Advanced degree (MS, PhD)
Experience in IoT system development, including IoT frameworks, embedded software, cloud development, web development, communication protocols
Experience in design for scalability, performance and reliability
Sharp analytical abilities and proven design skills
Excellence in technical communication with peers and non-technical cohorts
Demonstrated ability to achieve stretch goals in a highly innovative and fast paced environment