• ML Solutions Architect - Alexa AI

    Location US-WA-Seattle
    Posted Date 2 months ago(1/8/2019 2:04 PM)
    Job ID
    700766
    Company/Location (search) : Country (Full Name)
    United States
  • Job Description

    Are you passionate about Artificial Intelligence, Machine Learning and Deep Learning? Are you passionate about helping customers build solutions leveraging the state-of-the-art AI/ML/DL tools on Amazon Web Service (AWS)? Come join us!

    At Amazon, we’ve been investing deeply in artificial intelligence for over 20 years, and many of the capabilities customers experience are driven by machine learning. Amazon.com’s recommendations engine is driven by machine learning (ML), as are the paths that optimize robotic picking routes in our fulfillment centers. Our supply chain, forecasting, and capacity planning are also informed by ML algorithms. Alexa is fueled by Natural Language Understanding and Automated Speech Recognition deep learning; as is our drone initiative, Prime Air, and the computer vision technology in our new retail experience, Amazon Go. We have thousands of engineers at Amazon committed to machine learning and deep learning, and it’s a big part of our heritage.

    Within the Alexa Machine Learning (AML) organization, we’re focused on bringing that knowledge and capability to our engineers and scientists through three layers of the AI stack: Frameworks and Infrastructure with tools like Apache MXNet and TensorFlow, API-driven Services like Amazon Lex, Amazon Polly and Amazon Rekognition to quickly add intelligence to applications, and Machine Learning Platforms such as Amazon Machine Learning and Apache Spark ML on EMR for data scientists.

    AML is looking for an AI Specialist Solutions Architect (AI SA), who will be the Subject Matter Expert (SME) for helping customers design machine learning solutions that leverage the AI stack on AWS. You will develop white papers, blogs, reference implementations, labs, and presentations to evangelize AML AI design patters and best practices. You will also mentor and train the broader SA population, to help other SA’s understand how to integrate the AI stack into customer architectures. As a bidirectional advocate between our customers and the service/platform delivery teams, this role plays a major role in driving the future of AI development.

    Open to domestic travel up to 25%

    Roles & Responsibilities:
    ·       Work with customer’s AI team to deeply understand their business and technical needs and design AI solutions that make the best use of the AML compute, data, and AI Services.
    ·       Thought Leadership – Evangelize AML Services and share best practices through forums such as AML blogs, whitepapers, reference architectures.
    ·       Partner with Generalist SAs, Sales, Business Development and the AI Service teams to accelerate customer adoption and revenue attainment.
    ·       Act as a technical liaison between science teams and the service engineering teams and providing produce improvement feedback.
    ·       Develop and support an AML internal community of AI related subject matter experts.

    Basic Qualifications

    • Bachelor's Degree in Computer Science/Engineering, Math or related field

    • 5+ years professional experience in software development in languages like Java, Python, Scala. Experience working with RESTful API and general service oriented architectures.

    • 2+ years of design/implementation/consulting experience building cloud solutions using AWS.

    • Experience in the field of AI, Data Analytics, Machine Learning, Deep Learning and related technologies.

    • Experience developing AI models in real-world environments and integrating AI/ML and other AWS services into large-scale production applications.

    Preferred Qualifications

    • MS, Ph.D. in Computer Science, Computer Engineering, Math, Electrical Engineering, etc.

    • Data science background and experience manipulating/transforming data, model selection, model training, cross-validation and deployment at scale.

    • Experience with Machine and Deep Learning toolkits such as Kaldi, MXNet, TensorFlow, Caffe and Torch.

    • Experience with AWS services related to AI/ML highly desirable, particularly Amazon EMR, AWS Lambda, Machine Learning, IoT, Amazon DynamoDB, Amazon S3, Amazon EC2 Container Service, Green Grass etc.

    • A talent for being able to influence and build mindshare convincingly with any audience. Confident and experienced in public speaking to large audiences.


    Amazon is an Equal Opportunity Employer – Minority / Women / Disability / Veteran / Gender Identity / Sexual Orientation
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