Applied Sciences PhD Job at Microsoft Corporation (Multiple Locations)

Large-scale Integrated Photonics Lab Research Associate

The Large-Scale Integrated Photonics Lab (LSIP) at HPE Labs is seeking highly qu...

Location

United States , Milpitas

Salary:

43.27 - 93.15 USD / Hour

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Working towards a PhD degree in Physics, Applied Physics, Computer Science, or Electrical Engineering
Demonstrated potential for high-caliber research
Good understanding of current state of the art, major trends and opportunities
Demonstrated track record in making things real in innovative ways
Theoretical and/or experimental knowledge of Si photonics, analog electronic in-memory computing, quantum computing, statistical physics, or machine learning
Comfort working in a strongly collaborative and multidisciplinary industrial basic research environment
Ability to develop rapid understanding of select problems and opportunities
Deep understanding of relevant environment, ecosystem, trends, and literature
Excellent research and development skills
Ability to innovate, make research contributions, and bring ideas to reality

Job Responsibility

Provide thought leadership and technical influence both internally and externally to HPE
Take innovative ideas and make them real – contributing along the full range from initial novel ideas to design, development, implementation, evaluation, and technology transfer
Balance significant technical and scientific contributions with ability to bring such contributions to practice through innovative solutions
Collaborate with HPE Labs research teams as well as with external partners
Work in alignment with HPE's broader innovation community
Accelerate research towards new applications, core methodologies and technologies in Silicon photonics

What we offer

Health & Wellbeing benefits
Personal & Professional Development programs
Unconditional Inclusion environment
Competitive salaries and benefits for qualified candidates

Fulltime

Distinguished Applied Researcher

At Capital One, we are creating trustworthy and reliable AI systems, changing ba...

Location

United States , McLean; San Francisco; New York; Cambridge; San Jose

Salary:

278400.00 - 381300.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 6 years of experience in Applied Research
PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields
LLM
PhD focus on NLP or Masters with 10 years of industrial NLP research experience
Core contributor to team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) or through continued pre-training, post training pipeline for alignment and reasoning, LLM optimizations, complex reasoning with multi-agentic LLMs
Numerous publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization)
Has worked on an LLM (open source or commercial) that is currently available for use
Demonstrated ability to guide the technical direction of a large-scale model training team
Experience with common training optimization frameworks (deep speed, nemo)
Experience contributing to the team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) or through continued pre-training, post training pipeline for alignment and reasoning, LLM optimizations, complex reasoning with multi-agentic LLMs

Job Responsibility

Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money
Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data
Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation
Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences
Flex your interpersonal skills to translate the complexity of your work into tangible business goals
Partner with a cross-functional team of scientists, machine learning engineers, software engineers, and product managers to deliver AI-powered platforms and solutions that change how customers interact with their money

What we offer

comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being
performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)

Fulltime

Software Engineer 4, Mist - AP Firmware

This role involves designing, developing, troubleshooting, and debugging softwar...

Location

United States , San Jose

Salary:

103400.00 - 237000.00 USD / Year

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

MS or PhD in Computer Science, Electrical Engineering, Statistics, Applied Math, or a related quantitative discipline
Excellent understanding of machine learning techniques and algorithms, including clustering, anomaly detection, optimization, neural network etc
3+ years experiences building data science-driven solutions including data collection, feature selection, model training, post-deployment validation
Proficient in coding, (preferably in Python) processing large-scale data sets and developing machine learning models
Able to communicate effectively in a variety of formats and collaborate with diverse teams

Job Responsibility

Research and develop statistical learning models for data analysis
Collaborate with product management and engineering departments to understand company needs and devise possible solutions
Keep up-to-date with latest technology trends
Communicate results and ideas to key decision makers
Implement new statistical or other mathematical methodologies as needed for specific models or analysis
Optimize joint development efforts through appropriate database use and project design

What we offer

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

Fulltime

Sr Staff Data Scientist

The mission of the Data Science team at Mist is to leverage state-of-art ML and ...

Location

United States , San Jose

Salary:

148000.00 - 340500.00 USD / Year

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

MS or PhD in Computer Science, Electrical Engineering, Statistics, Applied Math, or a related quantitative discipline
Excellent understanding of machine learning techniques and algorithms, including clustering, anomaly detection, optimization, neural network etc
3+ years experiences building data science-driven solutions including data collection, feature selection, model training, post-deployment validation
Proficient in coding, (preferably in Python) processing large-scale data sets and developing machine learning models
Able to communicate effectively in a variety of formats and collaborate with diverse teams

Job Responsibility

Research and develop statistical learning models for data analysis
Collaborate with product management and engineering departments to understand company needs and devise possible solutions
Keep up-to-date with latest technology trends
Communicate results and ideas to key decision makers
Implement new statistical or other mathematical methodologies as needed for specific models or analysis
Optimize joint development efforts through appropriate database use and project design

What we offer

Comprehensive suite of benefits supporting physical, financial and emotional wellbeing
Personal and professional development programs
Inclusive workplace policies

Fulltime

Applied Science Manager - ZMS

We are ambitious and committed to be the starting point of fashion for our custo...

Location

Germany , Berlin

Salary:

Not provided

Zalando Sverige

Expiration Date

Until further notice

Requirements

PhD or MSc in Statistics, Computer Science, Mathematics, or Physics
at least 5+ years of industry experience in Machine Learning/Data Science/Deep Learning
experience in Advertising/Ecommerce industry is preferred, including leading teams in these domains
experience (2Y+) in people and project leadership under uncertainty and ambiguity
proven track record in developing solutions from initial idea to production
excellent verbal and written communication skills, clarity and structure

Job Responsibility

Empower and support Applied Scientists and ML Engineers reviewing and guiding their work, creating conditions for high-quality deliveries and career growth
lead the team in defining and executing roadmaps, in a way that integrates the high level of uncertainty and complexity involved in our projects
raise the bar, engage the team into defining and adopting always better standards in Applied Science and ML Engineering standards
as a scientific competence center make sure the team collaborates smoothly with other teams and other job functions

What we offer

27 days of holiday a year to start for full-time employees
2 paid volunteering days a year
hybrid working model with up to 60% remote per week
work from abroad for up to 30 working days a year
employee shares program
40% off fashion and beauty products sold and shipped by Zalando, 30% off Lounge by Zalando, discounts from external partners
relocation assistance available (subject to prior agreement)
family services, including counseling and support
health and wellbeing options (including Wellhub, formerly Gympass)
mental health support and coaching available

Fulltime

Applied Scientist II

RBS (Retail Business Services) Tech team works towards enhancing the customer ex...

Location

India , Bengaluru

Salary:

Not provided

Amazon Pforzheim GmbH

Expiration Date

Until further notice

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

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

Applied Scientist II

RBS (Retail Business Services) Tech team works towards enhancing the customer ex...

Location

India , Bengaluru

Salary:

Not provided

Amazon Pforzheim GmbH

Expiration Date

Until further notice

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

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

Applied Researcher II

At Capital One, we are creating trustworthy and reliable AI systems, changing ba...

Location

United States , New York; San Francisco; San Jose; Cambridge; McLean

Salary:

262500.00 - 326800.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research
PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields
PhD focus on NLP or Masters with 5 years of industrial NLP research experience
Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization)
Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens)
Publications in deep learning theory
Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR
PhD focused on topics related to optimizing training of very large deep learning models
Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression
Experience optimizing training for a 10B+ model

Job Responsibility

Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money
Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data
Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation
Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences
Flex your interpersonal skills to translate the complexity of your work into tangible business goals

What we offer

comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being
performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)

Fulltime

Applied Sciences PhD

Microsoft Corporation

Location:
India , Multiple Locations

Category:
Research and Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
April 12, 2026

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