• Software Development Engineer - Machine Learning

    Standort DE-Aachen
    Datum 1 month ago(20.9.2018 14:35)
    Amazon Development Center Germany GmbH
    Company/Location (search) : Country (Full Name)
  • Job Description

    Interested in creating systems and services that 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 Software Development Engineer, you will be responsible for designing, developing, testing, and deploying distributed machine learning systems and large-scale solutions for our world-wide customer base. In this, you will collaborate closely with a team of ML scientists to influence our overall strategy and the team’s road map. 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.

    Notwendige Qualifikationen

    • BS in Computer Science or equivalent
    • 5+ years of industry experience
    • 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

    Wünschenswerte Qualifikationen

    • Advanced degree (MS, PhD)
    • Experience in IoT system development, including IoT frameworks, embedded software, cloud development, web development, communication protocols
, embedded Linux
    • 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
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