• Applied Scientist II, AR Sortation

    Amazon (North Reading, MA)


    Description

    Are you inspired by invention? Is problem-solving through teamwork in your DNA? Do you like the idea of seeing how your work impacts the bigger picture?

     

    If you answered yes to any of these questions, you’ll fit right in at Amazon Robotics.

     

    We are a smart team of doers who work passionately to apply innovative advances in robotics and software to solve real-world challenges that transform our customers’ experiences. We invent new improvements every day, and we provide the tools and support you need to invent with us in ways that are rewarding, fulfilling, and fun.

     

    As a Applied Scientist II with a focus on Machine Learning in the AR Sortation Planning team, you will play a foundational role in establishing and growing our ML practice to power intelligent robotic workcells. You will design and deploy ML models that optimize sortation efficiency, enhance safety and ergonomics, and enable adaptive decision-making in robotic workflows. You’ll collaborate with robotics, controls, and simulation teams to integrate perception and prediction models into both real-world and simulated systems. Your work will directly impact how our robotic systems operate at scale—delivering measurable improvements in performance, safety, and associate satisfaction.

     

    Key job responsibilities

     

    - Apply analytical and statistical techniques to create scalable solutions for complex business problems.

     

    - Analyze and extract relevant information from large datasets to automate and optimize key operational processes.

     

    - Design, develop, and evaluate machine learning models and algorithms.

     

    - Establish scalable, efficient, and automated pipelines for large-scale data analysis, model development, validation, and deployment.

     

    - Research and implement novel machine learning and statistical methods.

     

    - Collaborate closely with software,solutions and data engineering teams to integrate successful models into production systems at scale.

     

    - Provide technical leadership and mentorship to other scientists on the team.

     

    A day in the life

     

    Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:

     

    1. Medical, Dental, and Vision Coverage

    2. Maternity and Parental Leave Options

    3. Paid Time Off (PTO)

    4. 401(k) Plan

     

    If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!

     

    About the team

     

    We have a talented, innovative and diverse team that works on innovative software driving human and robotic workflows, UI interfaces, AWS services at middle-mile Sortation centers within the Amazon Transportation Services network. We build algorithms to optimize sortation rates, improve safety and ergonomics, delight our associates, build simulations for our new robotic solutions, all while operating at Amazon scale.

    Basic Qualifications

    - 3+ years of building models for business application experience

     

    - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience

     

    - Experience in patents or publications at top-tier peer-reviewed conferences or journals

     

    - Experience programming in Java, C++, Python or related language

     

    - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

    Preferred Qualifications

    - 5+ years of professional experience in software engineering or applied ML.

     

    - Strong programming skills in Python and/or Java, and proficiency with ML libraries such as PyTorch, TensorFlow, or Scikit-learn.

     

    - Solid understanding of machine learning algorithms, model evaluation, and data-driven optimization.

     

    - Experience building and deploying ML models in production environments.

     

    - Comfort working in a fast-paced, high-impact team environment with end-to-end ownership.

     

    - Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence

     

    Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

     

    Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.