CrawlJobs Logo

Applied Scientist II

Amazon

Location Icon

Location:
India , Bengaluru

Category Icon

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

Not provided

Job Description:

RBS (Retail Business Services) Tech team works towards enhancing the customer experience (CX) and their trust in product data by providing technologies to find and fix Amazon CX defects at scale. Our platforms help in improving the CX in all phases of customer journey, including selection, discoverability & fulfilment, buying experience and post-buying experience (product quality and customer returns). The team also develops GenAI platforms for automation of Amazon Stores Operations. As a Sciences team in RBS Tech, we focus on foundational ML research and develop scalable state-of-the-art ML solutions to solve the problems covering customer experience (CX) and Selling partner experience (SPX). We work to solve problems related to multi-modal understanding (text and images), task automation through multi-modal LLM Agents, supervised and unsupervised techniques, multi-task learning, multi-label classification, aspect and topic extraction for Customer Anecdote Mining, image and text similarity and retrieval using NLP and Computer Vision for product groupings and identifying duplicate listings in product search results.

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

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

Nice to have:

  • Post Graduate degree (MS or PhD) in Electrical Engineering, Computer Science, Mathematics or Physics with specialization in ML, NLP or Computer Vision
  • Strong verbal/written communication skills, including an ability to effectively collaborate with both research and technical teams
  • Scientific thinking and the ability to invent, a track record of thought leadership and contributions that have advanced the field
  • Solid understanding of machine learning, deep learning algorithms and computational complexity
  • Strong CS fundamentals in data structures, problem solving, algorithm design and complexity analysis

Additional Information:

Job Posted:
March 20, 2026

Job Link Share:

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for Applied Scientist II

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

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

Data Scientist II

At Amazon, we strive to be Earth's most customer-centric company, where customer...
Location
Location
India , Hyderabad
Salary
Salary:
Not provided
amazon.de Logo
Amazon Pforzheim GmbH
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 2+ years of data scientist experience
  • 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
  • 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
  • Experience applying theoretical models in an applied environment
Job Responsibility
Job Responsibility
  • Analyze terabytes of data to define and deliver on complex analytical deep dives to unlock insights and build scalable solutions through Data Science to ensure security of Amazon’s platform and transactions
  • Build Machine Learning and/or statistical models that evaluate the transaction legitimacy and track impact over time
  • Ensure data quality throughout all stages of acquisition and processing, including data sourcing/collection, ground truth generation, normalization, transformation, and cross-lingual alignment/mapping
  • Define and conduct experiments to validate/reject hypotheses, and communicate insights and recommendations to Product and Tech teams
  • Develop efficient data querying infrastructure for both offline and online use cases
  • Collaborate with cross-functional teams from multidisciplinary science, engineering and business backgrounds to enhance current automation processes
  • Learn and understand a broad range of Amazon’s data resources and know when, how, and which to use and which not to use.
  • Maintain technical document and communicate results to diverse audiences with effective writing, visualizations, and presentations
Read More
Arrow Right

Applied Scientist II / Senior Applied Scientist

The CoreAI Platform and Tools organization is building transformative experience...
Location
Location
United States , Redmond
Salary
Salary:
100600.00 - 199000.00 USD / Year
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's Degree in Computer Science, Computational Linguistics, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research)
  • OR Master's Degree in Computer Science, Computational Linguistics, or related field AND 1+ year(s) related experience
  • OR Doctorate in Computer Science, Computational Linguistics, 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
  • Conduct supervised fine-tuning of LLMs, applying Reinforcement Learning from Human Feedback in the process, and conducting thorough evaluation of those
  • Work with tech lead on the design and implementation of Agent adversarial evaluations and safety mitigations, enabling agent creators to identify potential risks and apply appropriate safeguards to ensure the safety and security of Agents
  • Collaborate closely with the Responsible AI engineering team to deliver these mitigations at scale for Responsible AI customers, refine existing implementations based on operational performance, and troubleshoot and resolve end-to-end issues
  • Fulltime
Read More
Arrow Right
New

Applied Scientist II and Senior Applied Scientist

Come build community, explore your passions and do your best work at Microsoft. ...
Location
Location
United States , Redmond
Salary
Salary:
100600.00 - 199000.00 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
  • 2+ years experience delivering, scaling, and maintaining highly successful and innovative machine learning products
  • 1+ year(s) experience creating publications (e.g., patents, peer-reviewed academic papers)
  • Experience with Large Language Models: Demonstrated experience working with LLMs, such as GPT, BERT, or similar models, including knowledge of their strengths, limitations, and capabilities
  • Understanding of NLP: In-depth knowledge of natural language processing (NLP) techniques and concepts, including tokenization, semantic analysis, and text generation
  • Understanding of state-of-the-art machine learning and deep learning technologies. In particular, hands-on experiences with deep learning models (DNN, Attention, CNN, RNN) and frameworks (TensorFlow, PyTorch, Keras, etc.)
  • Algorithmic and analytical background and understanding on how to apply advanced knowledge to solve real problems
  • Experience in parallel or distributed processing, high performance computing, stream computing and SCOPE
Job Responsibility
Job Responsibility
  • Building and maintaining production machine learning models for ad retrieval, quality prediction and creative generation
  • Finding insights and forming hypothesis on web-scale data with various machine learning, feature engineering, statistical, and data mining techniques: e.g. regression, classification, NLP, optimization, p-values analysis
  • Designing experiments, understanding the resulting data, and producing actionable, trustworthy conclusions from them
  • Craft and Optimize Prompts for Effective LLM Performance: Design, test, and refine prompts to elicit accurate, relevant, and useful responses from LLMs. This involves understanding the nuances of how the model interprets different inputs, experimenting with various prompt formulations, and iterating based on performance metrics and user feedback
  • Wrangling large amounts of data (think petabytes) using various tools, including open-source ones and your own. All programming languages are welcome, especially Python, R, C#, C++, Java, and SQL
  • Taking complex problems and the associated data and giving the answers in a concise form to assist senior executives in making key business decision
  • Fulltime
Read More
Arrow Right

Applied Scientist II

Come build the core of Microsoft Copilot for enterprise with the Microsoft Turin...
Location
Location
United States , Redmond
Salary
Salary:
100600.00 - 199000.00 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 are required for this role
  • These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter
Job Responsibility
Job Responsibility
  • Master a broad research area and understand relevant research techniques
  • Act as a team expert on industry trends, products, and advances, applying this knowledge to influence product needs
  • Review business and product requirements, incorporate research insights, and provide strategic guidance for problem‑solving
  • Ensure scientific rigor, support method development, and apply expertise to drive business impact
  • Identify and inspire peers and new research talent to join Microsoft, build relationships, and advocate for research initiatives
  • Share research findings through industry outreach, collaborate with the academic community, and support recruiting pipeline development
  • Document experimentation and results to promote innovation
  • Provide guidance on capturing processes and contribute to ethics and privacy policies related to research practices and data collection
  • Fulltime
Read More
Arrow Right

Applied Scientist II

Do you want to join an innovative team of scientists who leverage machine learni...
Location
Location
India , Hyderabad
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
  • Design and develop state-of-the-art ML models for service intent classification, routing optimization, and customer experience personalization
  • Analyze large-scale business customer interaction data to identify patterns and opportunities for automation
  • Create scalable solutions for complex B2B service scenarios using advanced ML techniques
  • Work closely with engineering teams to implement and deploy models in production
  • Collaborate with business stakeholders to identify opportunities for ML applications
  • Establish automated processes for model development, validation, and maintenance
  • Lead research initiatives to advance the state-of-the-art in B2B service science
  • Mentor other scientists and engineers in applying ML techniques to business problems
Read More
Arrow Right

Applied Scientist II

We’re looking for an Applied Scientist to join our Brand Science team to provide...
Location
Location
United States , New York
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 B.S. degree in Statistics, Computer Science, Applied Mathematics, Electrical Engineering, Economics, or other quantitative fields is preferred
  • If M.S. degree, a minimum of 2+ years of industry experience required
  • if B.S. degree a minimum of 3+ years of industry experience required
  • Advanced skills in SQL, Python, and BI tools for data analysis/visualization
  • In-depth understanding of and experience with experimental design
Job Responsibility
Job Responsibility
  • Apply statistical/econometric methods to estimate the incremental impact of changes in marketing and product strategy on brand-relevant KPIs like sentiment, awareness, and purchase intent – as well as on business outcomes like trips/orders and gross bookings
  • Build and improve technical tools for marketing problems
  • Interface closely with external partners to deeply understand the existing capabilities and limitations of their platforms and solutions, and to push the envelope on what is possible
  • Collaborate with our in-house media, research, product, and operations teams to develop actionable customer insights and recommendations to guide high level business and marketing strategy
What we offer
What we offer
  • Eligible to participate in Uber's bonus program
  • May be offered an equity award & other types of comp
  • All full-time employees are eligible to participate in a 401(k) plan
  • Eligible for various benefits
  • Fulltime
Read More
Arrow Right