CrawlJobs Logo

Applied Scientist II

United States, Seattle Employment contract 142800.00 - 193200.00 USD / Year · Job Posted May 29, 2026
Apply Position
Job Link Share

Job Description

The North America Stores GenAI Evaluation Media (GEM) team is seeking an Applied Scientist to help shape the future of visual shopping experiences. We're building CXs and foundational capabilities to understand, enhance, and generate real-time GenAI imagery, videos and CXs that inspire customers and drive purchase confidence, towards our vision to be the leader in visual media. Specifically, the charter will focus on visual agentic experiences, multi-modal personalization, and real-time image/video generation, looking ahead as customer shopping continues to inspirational assistant-driven experiences. As an Applied Scientist on the team, you will drive the research and development of agentic AI capabilities that inform and guide the customer's shopping journey through visuals. This includes building core science primitives for multimodal understanding, visual content generation and editing, personalized virtual try-on, and automated quality assurance. You will develop the foundational capabilities that enable customers to express and discover styles through multimodal conversation and receive personalized, visual responses that bring their ideas to life. Your scientific approach will emphasize accurate, real-time visual understanding and generation, contextual understanding, and scalable personalization, enabling agentic AI to actively collaborate with customers to achieve their style goals. You will bring together computer vision, natural language processing, generative AI, and human-centered design to create agentic shopping experiences that are as intuitive as talking to a human specialist with a deep domain knowledge base. Success requires establishing robust metrics, collaborating with cross-functional partners, validating asset effectiveness across diverse customer touch points, and staying at the forefront of rapid advances in AI technology. The ideal candidate will have deep technical expertise in Computer Vision, Generative AI, or related fields with a strong ability to connect scientific work to customer and business outcomes. You will partner with scientists, engineers, and stakeholders across Amazon to deliver innovation and uphold a culture of scientific excellence and customer obsession. This role requires both rigorous research skills and practical engineering instincts, with a focus on delivering solutions that scale. This is a unique opportunity to shape the future of visual commerce through applied AI research, building the systems that will define how hundreds of millions of customers discover and evaluate products and styles through visual experiences.

Job Responsibility

  • Develop core science primitives for vision and language understanding, visual content generation and editing, virtual try-on, and automated quality assurance via state-of-the-art computer vision, machine learning, and generative AI
  • Design and implement visual agentic systems, balancing visual quality, relevance, latency, and cost
  • Define metrics and success criteria for your scientific initiatives, ensuring rigorous validation across customer touch points
  • Own end-to-end delivery of research initiatives from problem formulation through experimentation to production deployment
  • Stay current with latest advances in AI/ML and identify opportunities to apply them to your problem space
  • Drive development and deployment of scalable agentic systems for visual content understanding and generation
  • Maintain high scientific and engineering standards in your work
  • Tackle complex technical problems while maintaining practical focus on customer value
  • Contribute to the team's culture of scientific excellence through presentations and publications at internal and external science forums
  • Partner with product and engineering teams to deliver customer-facing features
  • Collaborate with scientists and engineers across multiple teams within Amazon to align on technical approaches
  • Communicate research findings and technical trade-offs clearly to both technical and non-technical stakeholders

Requirements

  • PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
  • Experience in building models for business application
  • Experience programming in Java, C++, Python or related language

Nice to have

  • Experience in investigating, designing, prototyping, and delivering new and innovative system solutions
  • Experience in CS, CE, ML or related field research
  • Experience building machine learning models or developing algorithms for business application
  • Experience developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms
  • Usage of generative AI tools to enhance workflow efficiency, with a willingness to learn effective prompting and evaluation practices
  • Ability to recognize opportunities where generative AI could enhance products, workflows, or customer experiences

What we offer

  • 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

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Similar Jobs for

Applied Scientist II

8 matching positions

Applied Scientist II

Alexa International is looking for passionate, talented, and inventive Senior Ap...
Location
Location
India , Bengaluru
Salary
Salary:
Not provided
amazon.de Logo
Amazon Pforzheim GmbH
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 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
Job Responsibility
Job Responsibility
  • Analyze, understand, and model customer behavior and the customer experience based on large-scale data
  • Build novel online & offline evaluation metrics and methodologies for multimodal personal digital assistants
  • Fine-tune/post-train LLMs using advanced and innovative techniques like SFT, DPO, Reinforcement Learning (RLHF and RLAIF) for supporting model performance specific to a customer’s location and language
  • Quickly experiment and set up experimentation framework for agile model and data analysis or A/B testing
  • Contribute through industry-first research to drive innovation forward
  • Drive cross-team scientific strategy and influence partner teams on LLM evaluation frameworks, post-training methodologies, and best practices for international speech and language systems
  • Lead end-to-end delivery of scientifically complex solutions from research to production, including reusable science components and services that resolve architecture deficiencies across teams
  • Serve as a scientific thought leader, communicating solutions clearly to partners, stakeholders, and senior leadership
  • Actively mentor junior scientists and contribute to the broader internal and external scientific community through publications and community engagement
  • Fulltime
Read More
Arrow Right

Applied Scientist II

RBS (Retail Business Services) Tech team works towards enhancing the customer ex...
Location
Location
India , Bengaluru
Salary
Salary:
Not provided
amazon.de Logo
Amazon Pforzheim GmbH
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • PhD, or Master's degree
  • 1 year of relevant applied research experience with PhD or 3+ years of applied research experience with a Masters’ degree in Electrical Engineering, Computer Science, Computer Engineering, Mathematics, or related field with specialization in Machine Learning, NLP, Computer Vision, Deep Learning, or GenAI related fields
  • Should be an expert in either Computer Vision or NLP and have a good understanding of the both
  • Excellent communication skills
Job Responsibility
Job Responsibility
  • Design and deploy scalable GenAI, NLP and Computer Vision solutions that will impact the content visible to millions of customer and solve key customer experience issues
  • Develop novel LLM, deep learning and statistical techniques for task automation, text processing, image processing, pattern recognition, and anomaly detection problems
  • Define the research and experiments strategy with an iterative execution approach to develop AI/ML models and progressively improve the results over time
  • Partner with business and engineering teams to identify and solve large and significantly complex problems that require scientific innovation
  • Help the team leverage your expertise, by coaching and mentoring
  • Contribute to the professional development of colleagues, improving their technical knowledge and the engineering practices
  • Independently as well as guide team to file for patents and/or publish research work where opportunities arise
  • Fulltime
Read More
Arrow Right

Applied Scientist II

Frontier Tuning aims to fine-tune frontier LLMs on enterprise data, enabling tas...
Location
Location
India , Bangalore
Salary
Salary:
Not provided
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience
  • OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
  • OR equivalent experience
  • 1+ years of experience training/fine tuning AI/ML models, preferably large language models
  • 1+ years of experience building Generative AI pipelines, e.g. with RAG
  • 1+ years of experience with Python and/or PyTorch
  • Ability to meet Microsoft, customer and/or government security screening requirements
  • Microsoft Cloud Background Check
Job Responsibility
Job Responsibility
  • Train and deploy Language Models adapted to specific industry needs
  • Create and adapt novel training and fine-tuning algorithms for language models with special focus on reinforcement learning for long-horizon dynamic workflow
  • Research innovation and scholarly dissemination: conceive and execute research projects that advance training methodologies
  • write and submit peer-reviewed papers or preprints
  • and present work at conferences
  • Drive end-to-end translation of research into product capabilities, leading projects from ideation and prototyping through production integration and measurable customer impact
  • Fulltime
Read More
Arrow Right

Applied Scientist II

We're looking for an Applied Scientist to join our Brand Science team and provid...
Location
Location
United States , New York, New York; San Francisco, California
Salary
Salary:
161000.00 - 179000.00 USD / Year
uber.com Logo
Uber
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Ph.D., M.S. or Bachelors degree in Statistics, Economics, Mathematics, Operations Research, or other quantitative fields
  • Experience with data analysis and visualization tools, such as Python, R
  • Experience with SQL on large multi-table data sets
  • In-depth understanding of and experience with experimental design
  • Familiarity with causal inference and econometrics techniques to measure incrementality
Job Responsibility
Job Responsibility
  • Design measurement and optimization for a large brand marketing budget, using a toolset ranging from experimentation to survey-based methods and causal inference
  • Work closely with our media, research and marketing teams to develop actionable customer insights and recommendations to guide high level marketing strategy and inform improvements through the course of the campaign lifecycle
  • Leverage rich internal databases to mine patterns on winning marketing tactics and understand customer behavior to inform marketing briefs
  • Leverage causal inference models for advanced campaign measurement and optimization
  • Tackle open-ended questions about marketing effectiveness, interaction effects, incrementality & related topics
  • Regularly present insights and learnings to executive leadership
What we offer
What we offer
  • Bonus program
  • Equity award
  • 401(k) plan
  • Various benefits
  • Fulltime
Read More
Arrow Right

Applied Scientist Ii

We seek an Applied Scientist with expertise in Machine Learning, Generative AI, ...
Location
Location
United States , Redmond
Salary
Salary:
102100.00 - 202200.00 USD / Year
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research)
  • OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
  • OR equivalent experience
  • Ability to meet Microsoft, customer and/or government security screening requirements
  • Microsoft Cloud Background Check
Job Responsibility
Job Responsibility
  • Building and owning production machine learning models to improve results
  • Working hands on with SOTA generative models like Qwen, Llama, Mistral, GPT and others, to deliver big impact
  • Finding insights and forming hypothesis on large-scale data with various machine learning, feature engineering, statistical, and data mining techniques: e.g. regression, classification, NLP, optimization
  • Designing experiments, understanding the resulting data, and producing actionable, trustworthy conclusions from them
  • Wrangling large amounts of data (think petabytes) using various tools, including open-source ones and your own
  • Taking complex problems and the associated data and giving the answers in a concise form to assist senior executives in making key business decisions
What we offer
What we offer
  • Certain roles may be eligible for benefits and other compensation
  • Fulltime
Read More
Arrow Right

Applied Scientist II

RBS (Retail Business Services) Tech team works towards enhancing the customer ex...
Location
Location
India , Bengaluru
Salary
Salary:
Not provided
amazon.de Logo
Amazon Pforzheim GmbH
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • PhD, or Master's degree
  • 1 year of relevant applied research experience with PhD or 3+ years of applied research experience with a Masters’ degree in Electrical Engineering, Computer Science, Computer Engineering, Mathematics, or related field with specialization in Machine Learning, NLP, Computer Vision, Deep Learning, or GenAI related fields
  • Should be an expert in either Computer Vision or NLP and have a good understanding of the both
  • Excellent communication skills
Job Responsibility
Job Responsibility
  • Design and deploy scalable GenAI, NLP and Computer Vision solutions that will impact the content visible to millions of customer and solve key customer experience issues
  • Develop novel LLM, deep learning and statistical techniques for task automation, text processing, image processing, pattern recognition, and anomaly detection problems
  • Define the research and experiments strategy with an iterative execution approach to develop AI/ML models and progressively improve the results over time
  • Partner with business and engineering teams to identify and solve large and significantly complex problems that require scientific innovation
  • Help the team leverage your expertise, by coaching and mentoring
  • Contribute to the professional development of colleagues, improving their technical knowledge and the engineering practices
  • Independently as well as guide team to file for patents and/or publish research work where opportunities arise
  • Fulltime
Read More
Arrow Right

Applied Scientist II

RBS (Retail Business Services) Tech team works towards enhancing the customer ex...
Location
Location
India , Bengaluru
Salary
Salary:
Not provided
amazon.de Logo
Amazon Pforzheim GmbH
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • PhD, or Master's degree
  • 1 year of relevant applied research experience with PhD or 3+ years of applied research experience with a Masters’ degree in Electrical Engineering, Computer Science, Computer Engineering, Mathematics, or related field with specialization in Machine Learning, NLP, Computer Vision, Deep Learning, or GenAI related fields
  • Should be an expert in either Computer Vision or NLP and have a good understanding of the both
  • Excellent communication skills
Job Responsibility
Job Responsibility
  • Design and deploy scalable GenAI, NLP and Computer Vision solutions that will impact the content visible to millions of customer and solve key customer experience issues
  • Develop novel LLM, deep learning and statistical techniques for task automation, text processing, image processing, pattern recognition, and anomaly detection problems
  • Define the research and experiments strategy with an iterative execution approach to develop AI/ML models and progressively improve the results over time
  • Partner with business and engineering teams to identify and solve large and significantly complex problems that require scientific innovation
  • Help the team leverage your expertise, by coaching and mentoring
  • Contribute to the professional development of colleagues, improving their technical knowledge and the engineering practices
  • Independently as well as guide team to file for patents and/or publish research work where opportunities arise
Read More
Arrow Right

Applied Scientist II

Prime Video is a first-stop entertainment destination offering customers a vast ...
Location
Location
United States , Sunnyvale; Seattle
Salary
Salary:
142800.00 - 222200.00 USD / Year
Amazon
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 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
Job Responsibility
Job Responsibility
  • Develop foundation models for content understanding using state-of-the-art deep learning and multimodal learning techniques to analyze video and text
  • Build time sequence foundation models to understand and predict customer behavior patterns and viewing trajectories
  • Work closely with engineers and product managers to design, implement and launch solutions end-to-end across various Prime Video experiences
  • Design and conduct offline and online (A/B) experiments to evaluate proposed solutions based on in-depth data analyses
  • Effectively communicate technical and non-technical ideas with teammates and stakeholders
  • Stay up-to-date with advancements and the latest modeling techniques in foundation models, multimodal learning, and time series analysis
  • Publish your research findings in top conferences and journals
What we offer
What we offer
  • 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
  • sign-on payments
  • restricted stock units (RSUs)
  • Fulltime
Read More
Arrow Right