Back to the roster

[Remote] Applied Scientist, Sponsored Products

Remote Full-time Hiring now

Note: The job is a remote job and is open to candidates in USA. Amazon is at the forefront of re-imagining the advertising landscape through generative AI technologies with its Sponsored Products and Brands team. The Applied Scientist role involves driving end-to-end machine learning projects, building and deploying models, and conducting data analysis to enhance advertising experiences and customer engagement.

Responsibilities

  • Drive end-to-end Machine Learning projects that have a high degree of ambiguity, scale, complexity
  • Perform hands-on analysis and modeling of enormous data sets to develop insights that increase traffic monetization and merchandise sales, without compromising the shopper experience
  • Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production; work closely with software engineers to assist in productionizing your ML models
  • Run A/B experiments, gather data, and perform statistical analysis
  • Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving
  • Research new and innovative machine learning approaches

Skills

  • 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 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
  • Experience in professional software development
  • Experience in search advertising, search marketing, performance advertising, or similar digital advertising
  • Strong technical fluency in Generative AI
  • Deep understanding of large language models (LLMs), model fine tuning and prompt engineering
  • Ph.D. in computer science, mathematics, statistics, machine learning or equivalent quantitative field

Benefits

  • Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
  • 401(k) matching
  • Paid time off
  • Parental leave

Company Overview

  • Amazon is a tech firm with a focus on e-commerce, cloud computing, digital streaming, and artificial intelligence. It was founded in 1994, and is headquartered in Seattle, Washington, USA, with a workforce of 10001+ employees. Its website is https://amazon.com.
  • Company H1B Sponsorship

  • Amazon has a track record of offering H1B sponsorships, with 3262 in 2026, 22803 in 2025, 21175 in 2024, 19057 in 2023, 24088 in 2022, 12233 in 2021, 14881 in 2020. Please note that this does not guarantee sponsorship for this specific role.
  • Apply To This Job

    Related roles

    [Remote] ETL QA Engineer

    Remote Full-time

    [Remote] National Sales Manager

    Remote Full-time

    [Remote] Oracle Cloud Financials Functional Consultant Remote Oracle Corp

    Remote Full-time

    [Remote] Operations Administrator (Spire)

    Remote Full-time

    [Remote] Tax Technology and Transformation - Finance Transformation - Manager

    Remote Full-time

    [Remote] Director, Strategic Finance & Capital Market

    Remote Full-time

    [Remote] Senior Sales Manager - Mass Transit

    Remote Full-time

    [Remote] Benefits Account Executive

    Remote Full-time

    [Remote] Institutional Research Analyst

    Remote Full-time

    [Remote] Senior Product Manager

    Remote Full-time

    Inside Sales Specialist

    Remote Full-time

    Member Experience Associate (Bilingual; Spanish) (Remote)

    Remote Full-time

    Recruiter (Job ID: IOHRECEG)

    Remote Full-time

    Remote Entry‑Level Data Entry Specialist – Work‑From‑Home Position with arenaflex – No Experience Required

    Remote Full-time

    Experienced Full Stack Customer Support Specialist – Apple Advisor at arenaflex

    Remote Full-time

    Experienced Customer Support Specialist – Pet Parent Advocate (Remote) at arenaflex

    Remote Full-time

    Senior Application Security Engineer (AI & Vulnerability)

    Remote Full-time

    Experienced Customer Experience Consultant – Remote Customer Service Representative at arenaflex

    Remote Full-time

    Experienced Technical Customer Success Specialist – Web & Cloud Application Development

    Remote Full-time

    Steuerfachkraft (m/w/d) in Waldmohr mindestens 52.000€ - 100% Remote möglich

    Remote Full-time