Applied Scientist Job at Amazon Pforzheim GmbH (Bangalore)

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Applied Scientist

Come join the AWS Agentic AI science team in building the next generation models...

Location

United States , Santa Clara

Salary:

171600.00 - 222200.00 USD / Year

Amazon

Expiration Date

Until further notice

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

Define and implement new automated reasoning features that employ scalable and efficient approaches to solve complex problems using neural learning and symbolic/formal reasoning
Apply software engineering best practices to ensure a high standard of quality for all team deliverables
Work in an agile, startup-like development environment
Deliver high-quality scientific artifacts
Work with the team to help drive business decisions

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

Applied Scientist

We are seeking an Applied Scientist to help build Amazon's next-generation custo...

Location

Israel , Haifa

Salary:

Not provided

Amazon

Expiration Date

Until further notice

Requirements

Knowledge of programming languages such as C/C++, Python, Java or Perl
Experience in patents or publications at top-tier peer-reviewed conferences or journals
PhD, or a Master's degree and experience in CS, CE, ML or related field research
Strong communication and collaboration skills

Job Responsibility

Design and build ML and LLM-powered solutions for Amazon's customer memory and personalization systems
Work on how customer knowledge is extracted, validated, and applied in production systems
Own the end-to-end delivery of ML solutions, from problem formulation and modeling to offline and online experimentation, and production deployment at scale
Drive work across areas such as fact extraction, memory quality and lifecycle, temporal reasoning, and grounded personalization, while navigating tradeoffs between quality, latency, and coverage
Collaborate closely with engineering and product teams to translate research into measurable customer impact

Fulltime

Applied Scientist

Are you a scientist interested in pushing the state of the art in machine learni...

Location

Israel , Tel Aviv

Salary:

Not provided

Amazon

Expiration Date

Until further notice

Requirements

Knowledge of computer science fundamentals in data structures, algorithm design, and problem solving
PhD in CS/EE or related field, or MSc and 5+ years of applied research experience
Excellent coding and design skills, proficiency with programming languages such as Java or Python
Several publications at top-tier peer-reviewed research conferences or journals
Strong communication and collaboration skills

Job Responsibility

Research, design, and development of new AI technologies for personalization
Adopt or invent new machine learning and analytical techniques in the realm of recommendations and large language models
Collaborate with scientists, engineers, and product partners locally and abroad
Inventing, experimenting with, and launching new features, products and systems

Fulltime

Applied Scientist

Amazon Devices is an inventive research and development company that designs and...

Location

United Kingdom , Cambridge

Salary:

Not provided

Amazon

Expiration Date

Until further notice

Requirements

Master's degree, or a PhD and experience in CS, CE, ML or related field
Experience programming in Java, C++, Python or related language
Experience in patents or publications at top-tier peer-reviewed conferences or journals
Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning

Job Responsibility

Apply and extend compression recipes (knowledge distillation, structured pruning, and post-training and quantization-aware quantization including low-bit and mixed-precision) to assigned models, achieving 20x to 100x compression while preserving model quality
Design and run healing recipes (fine-tuning and distillation that recover accuracy lost to compression), iterating on data mixes, objectives, and training settings until the compressed model meets its quality bar
Track emerging model architectures and dissect how they work internally, so you can choose where to compress, anticipate where accuracy will break, and design recovery strategies grounded in the model's actual structure
Build a library of compression-ready model entries: reference implementations, compression recipes, model cards, and benchmark results that partner teams can run self-service to produce deployment-ready artifacts for edge and cloud targets
Define the datasets, benchmarks, and KPIs that matter for your models, and build evaluation methodology that makes accuracy, latency, memory, and cost trade-offs explicit
Run fast feasibility gates on new model families and modalities before committing to long efforts, and pivot early when a candidate does not clear the bar
Capture platform friction as high-signal feedback: minimal reproductions and tracked fix requests that help platform and compression-science partners root-cause issues, so partner teams never rediscover the same blockers
Write reproducible, testable, well-documented code that meets the SDE I bar, so your recipes and results can be reproduced and built on by others
Collaborate with Applied Scientists, platform and compiler engineers, hardware architects, and partner teams
mentor interns and help newer teammates ramp up

Fulltime

Applied Scientist

The Sponsored Products and Brands team at Amazon Ads is re-imagining the adverti...

Location

United States , New York; Arlington; Seattle

Salary:

142800.00 - 223400.00 USD / Year

Amazon Pforzheim GmbH

Expiration Date

Until further notice

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

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

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

Applied Scientist

As an Applied Scientist in the Alexa AI team, you will spearhead the advancement...

Location

Italy , Turin

Salary:

Not provided

Amazon Pforzheim GmbH

Expiration Date

Until further notice

Requirements

PhD, or a Master's degree and experience in Computer Science, Computer Engineering, Machine Learning or related field
Experience building machine learning models or developing algorithms for business application
Strong proficiency in programming languages such as Python or Java, with deep expertise in machine learning frameworks
Experience in any of the following areas: algorithms and data structures, algorithms, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
Understanding of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc.
Excellent communication skills (written & spoken) and ability to collaborate effectively in a distributed, cross-functional team setting.

Job Responsibility

Analyze and model customer behavior at scale, building novel metrics for personal digital assistants across diverse devices and endpoints
Create deep learning, policy-based learning, and machine learning algorithms that directly impact customer experiences
Build and deploy automated model training and evaluation pipelines
Implement complex machine learning and deep learning algorithms
Conduct rigorous model and data analysis through online A/B testing
Research and implement novel approaches that push the boundaries of what's possible in conversational AI
Ensure operational excellence by taking ownership of production systems, including on-call responsibilities
Deploy fixes and handle high-severity issues alongside Software Development Engineers

Fulltime

Applied Scientist

About Sponsored Products and Brands The Sponsored Products and Brands team at Am...

Location

United States , New York; Arlington; Seattle

Salary:

142800.00 - 223400.00 USD / Year

Amazon

Expiration Date

Until further notice

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

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

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

Applied Scientist

As an Applied Scientist in the Alexa AI team, you will spearhead the advancement...

Location

Italy , Turin

Salary:

Not provided

Amazon Pforzheim GmbH

Expiration Date

Until further notice

Requirements

PhD, or a Master's degree and experience in Computer Science, Computer Engineering, Machine Learning or related field
Experience building machine learning models or developing algorithms for business application
Strong proficiency in programming languages such as Python or Java, with deep expertise in machine learning frameworks
Experience in any of the following areas: algorithms and data structures, algorithms, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
Understanding of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc.
Excellent communication skills (written & spoken) and ability to collaborate effectively in a distributed, cross-functional team setting.

Job Responsibility

Analyze and model customer behavior at scale, building novel metrics for personal digital assistants across diverse devices and endpoints
Create deep learning, policy-based learning, and machine learning algorithms that directly impact customer experiences
Build and deploy automated model training and evaluation pipelines
Implement complex machine learning and deep learning algorithms
Conduct rigorous model and data analysis through online A/B testing
Research and implement novel approaches that push the boundaries of what's possible in conversational AI
Ensure operational excellence by taking ownership of production systems, including on-call responsibilities during peak and non-peak hours
Deploy fixes and handle high-severity issues alongside Software Development Engineers

Fulltime

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