Amazon.com Inc logo

Machine Learning Engineer, Alexa AI

Amazon.com Inc
  • Boston, MA
    30+ days ago

    Job Description

    The Alexa AI team is looking for a passionate, talented, and inventive Machine Learning Engineer with a strong machine learning background, to build capabilities such as fine tuning, distillation, and LLM Inference.

    As a ML engineer with the Alexa AI team, you will be responsible for machine learning platform focus on LLM training, production deployment, and optimizations to advance the state of LLMs. You will collaborate closely with Applied Scientists and other MLEs, leverage Amazon's heterogeneous data sources and large-scale computing resources to accelerate development of Generative Artificial Intelligence solutions.

    Key job responsibilities

    The ideal candidate is passionate about new opportunities and has a demonstrable track record of success in delivering new features and products. A commitment to team work, hustle, and strong communication skills (to both business and technical partners) are absolute requirements. Creating reliable, scalable, and high performance AI products requires exceptional technical expertise, a sound understanding of the fundamentals of Computer Science and Machine Learning. This person has thrived and succeeded in delivering high quality technology products/services in a hyper-growth environment.

    Responsibilities-

    • Will work with other team engineers to investigate design approaches, prototype new technology and evaluate technical feasibility.
    • Work closely with Applied scientists to process data, scale machine learning models
    • Will work in an Agile/Scrum environment to deliver high quality software.

    About the team

    Central Analytics and Research Science (CARS) is an analytics, software, and science team within Amazon"s Alexa AI organization. Our mission is to provide scalable and reliable evaluation of the state-of-the-art Conversational AI on how customers perceive the assistants they interact with - from the metrics themselves to software applications to deep dive on those metrics - allowing assistant developers to improve their services.

    Numbers & Facts

    LocationBoston, MA
    IndustryRetail
    Company Size10,000 employees or more
    Year Founded1994
    Websitehttp://Amazon.com/militaryroles
    Want to know if you’re a fit?
    Upload your resume and let our AI show you.

    Skills

    • Agile Programming Methodologiesunmatched
    • Amazon Alexaunmatched
    • Artificial Intelligence (AI)unmatched
    • Communication Skillsunmatched
    • Computer Scienceunmatched
    • Data Processingunmatched
    • Feasibility Analysisunmatched
    • Machine Learningunmatched
    • Metricsunmatched
    • Prototypingunmatched
    • Scientific Researchunmatched
    • Scrum Project Management and Software Developmentunmatched
    • Team Playerunmatched
    • Technical Analysisunmatched

    About Company

    At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life.

    Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.

    It’s Always Day 1
    At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here

    Our Leadership Principles
    Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles

    Be found by employers

    5,500+ employers search our resume database daily. Add yours to get found by recruiters looking for candidates like you.

    Level up your application

    Professional resume templates

    Browse dozens of recruiter approved resume templates, layouts and formats. Choose your favorite and make it your own in minutes.

    Free resume templates

    Free resume builder

    Improve your existing resume or start from scratch and create a standout, ATS-friendly resume. Add job-specific content, download and apply.

    Free resume builder