• Sr Machine Learning Engineer

    Company/Location (search) US-WA-Seattle
    Posted Date 2 weeks ago(8/6/2018 11:06 AM)
    Job ID
    649205
    Company
    Amazon.com Services, Inc.
  • Job Description

    The Smart Home team is focused on making Alexa the user interface for the home. From the simplest voice commands (turn on the lights, turn up the heat) to use cases spanning home security, home entertainment, and the home environment, we are evolving Alexa into an intelligent, indispensable companion that automates daily routines, simplifies interaction with appliances and electronics, and helps customers get the most out of the technology in their lives.

    As a Machine Learning SDE on the team you will develop design patterns, APIs, and high-scale services for machine learning that make the Smart Home intelligent. Your work will span Alexa skills, voice user interfaces, cloud services, and a rapidly-growing ecosystem of IoT devices. You will have the satisfaction of working on a product your friends and family can relate to, and want to use every day. Like the world of smart phones less than 10 years ago, this is a rare opportunity to have a giant impact on the way people live.

    Basic Qualifications

    • BS in Computer Science, or equivalent background in data structures, algorithms, object-oriented design and systems architecture.
    • 7+ years professional experience building and operating scalable distributed systems across the full software lifecycle including design, implementation, testing, operations, and maintenance.
    • Programming experience in one or more modern programming languages such as Java, C# or C++.
    • Hands-on experience across front-end user interfaces, business logic, and data tiers.
    • Experience serving as technical lead, including mentorship of more junior software developers.

    Preferred Qualifications

    • Experience designing internet-scale public APIs.

    • Experience building solutions for home networks, IoT device and cloud systems, context-awareness, pervasive computing, or home/industrial control systems.

    • Experience working with modern tools for big data processing and scalable machine learning (e.g., AWS, Kafka, Kinesis, Apache Spark, Hadoop, SQL, NoSQL).

    • Experience or strong interest in foundational machine learning models and concepts: regression, random forest, boosting, HMM, CRFs, MRFs, deep learning.

    • Experience with common machine learning libraries and tools: scikit-learn, MXNet, Tensorflow, XGBoost

    • Experience defining and championing best practices across a software team.

    • Comfortable presenting to senior management, business stakeholders, and external partners.

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