Research Intern - AI Evaluation and Alignment Job at Microsoft Corporation (Redmond)

AI Research Intern

Join the cutting-edge Machine Learning Research team at Atlassian as a PhD Resea...

Location

United States , San Francisco

Salary:

55.00 - 66.00 USD / Hour

Atlassian

Expiration Date

Until further notice

Requirements

Completed Bachelors degree in Computer Science or a related field
Currently pursuing a PhD in Computer Science or a related field with an anticipated degree completion date between September 2025 - June 2026
Strong foundation in AI/ML, LLMs, modeling and/or optimization techniques.

Job Responsibility

Collaborate with Research Scientists and Machine Learning Engineers
Contribute to the design and execution of research experiments
Curate, preprocess, and manage large datasets for training and evaluation
Execute continued training and alignment of LLMs
Evaluate advanced ML algorithms
Publish research in internal and external industry workshops and academic journals.

What we offer

health coverage
paid volunteer days
wellness resources

Fulltime

PhD AI Research Intern

Join our cutting-edge Machine Learning Research team at Atlassian as a PhD Resea...

Location

Canada

Salary:

55.00 USD / Hour

Atlassian

Expiration Date

Until further notice

Requirements

Completed Bachelors degree in Computer Science or a related field
Currently pursuing a PhD in Computer Science or a related field at any stage of your doctoral studies
Strong foundation in AI/ML, LLMs, modeling and/or optimization techniques

Job Responsibility

Collaborate cross-functionally with Research Scientists and Machine Learning Engineers to design, implement, and evaluate experiments that advance the performance, efficiency, and scalability of modern ML and LLM systems for our AI products
Curate, preprocess, and manage large-scale datasets for training and evaluation, ensuring data quality, diversity, and reproducibility across experiments
Conduct continued training, fine-tuning, and alignment of large language models for specialized applications such as conversational AI, summarization, generative search, and multimodal agents
Evaluate cutting-edge ML algorithms through rigorous experimentation and provide detailed analyses highlighting performance insights, failure modes, and opportunities for improvement
Contribute to publications and presentations at internal workshops or top-tier academic venues, helping to drive innovation in Enterprise AI and large-scale ML systems

What we offer

health and wellbeing resources
paid volunteer days

PhD AI Research Intern

Join our cutting-edge Machine Learning Research team at Atlassian as a PhD Resea...

Location

United States , Seattle

Salary:

49.00 - 75.00 USD / Hour

Atlassian

Expiration Date

Until further notice

Requirements

Completed Bachelors degree in Computer Science or a related field
Currently pursuing a PhD in Computer Science or a related field at any stage of your doctoral studies
Degree completion date cannot be earlier than September 2026 - June 2027
Strong foundation in AI/ML, LLMs, modeling and/or optimization techniques
Exhibit a solid grasp of algorithms and data structures
Demonstrate proficiency in Python programming and ability to write clean, efficient, and well-documented code
Experience working with large-scale datasets, including data preprocessing, augmentation, and scaling techniques
Has expertise in managing data using Python libraries such as NumPy, Pandas, Matplotlib, in addition to leveraging models from Hugging Face and has practical knowledge of applied machine learning and deep learning frameworks, like PyTorch
Demonstrated exposure to natural language processing (NLP) and Computer Vision (CV)
Familiarity with state-of-the-art research in machine learning and AI, as evidenced by relevant coursework, publications, or projects

Job Responsibility

Collaborate cross-functionally with Research Scientists and Machine Learning Engineers to design, implement, and evaluate experiments that advance the performance, efficiency, and scalability of modern ML and LLM systems for our AI products
Curate, preprocess, and manage large-scale datasets for training and evaluation, ensuring data quality, diversity, and reproducibility across experiments
Conduct continued training, fine-tuning, and alignment of large language models for specialized applications such as conversational AI, summarization, generative search, and multimodal agents
Evaluate cutting-edge ML algorithms through rigorous experimentation and provide detailed analyses highlighting performance insights, failure modes, and opportunities for improvement
Contribute to publications and presentations at internal workshops or top-tier academic venues, helping to drive innovation in Enterprise AI and large-scale ML systems

What we offer

health and wellbeing resources
paid volunteer days

Research Associate

The role involves accelerating research towards new applications, core methodolo...

Location

United States , Milpitas

Salary:

43.27 - 93.15 USD / Hour

Hewlett Packard Enterprise

Expiration Date

May 26, 2026

Requirements

Pursuing a PhD degree (or other degree with significant research and innovation experience) in a relevant discipline (e.g. electrical engineering, computer science, machine learning, applied physics, mathematics, statistics, etc.)
Track record of world-class innovative contributions and ideas in AI/ML and/or related areas
Experience with innovative solution development, such as developing proofs-of-concept, first-of-a-kind solutions, and/or technology transfer
Experience with in-memory computing accelerators
Experience with micro architecture design for custom accelerators
Experience in deep learning research, algorithms, and data structures
Experience in design and test of custom integrated circuit IP for AI/ML applications
Experience with emerging analog memory devices for computing applications such as memristor, ReRAM, PCM, and others
Experience in system software, GPU acceleration, DL model execution and performance optimization
Self-motivated, proactive, with leadership qualities

Job Responsibility

Investigation of high-performance accelerators which combine CMOS and emerging ReRAM device technologies (or memristors) for computing applications including machine learning, neuromorphic computing, network security, finite automata, and other novel computational models
Design of prototype systems and/or integrated circuits
Invention of new architectures, circuits, and/or devices to take advantage of physical hardware systems for acceleration of target computations
Operation of existing hardware platforms
Performance evaluations with competing systems
Provide thought leadership and technical influence both internally and externally to HPE
Contribute along the full range from initial novel ideas to design, development, implementation, evaluation, and technology transfer
Collaborate with HPE Labs research teams as well as with external partners
Work in alignment with HPE's broader innovation community

What we offer

Comprehensive suite of benefits supporting physical, financial and emotional wellbeing
Programs catered to helping employees reach career goals
Unconditional inclusion in work environment

Fulltime

Director, Digital Ecosystem Applications

This position is responsible for the Software Platforms group at the Innovation ...

Location

United States , Belmont

Salary:

240000.00 - 285000.00 USD / Year

Volkswagen AG

Expiration Date

Until further notice

Requirements

10+ years with 2+ years in a technical leadership role
CS, EE, M.S. Engineering (or equivalent) REQUIRED
M.S. Engineering (or equivalent) or PhD PREFERRED
Analytical and conceptual thinking – using logic and reason, creative and strategic
Communication skills – interpersonal, presentation and written
Managing interdisciplinary teams on individual projects
Integration – joining people, processes or systems
Influencing and negotiation skills
Problem solving
Resource management

Job Responsibility

Define the technical mission, architecture strategy, and long‑term platform vision for the In‑Vehicle Computing & Digital Ecosystem Applications team, spanning Android Automotive OS (AAOS), in‑vehicle compute platforms, Software‑Defined Vehicle (SDV) architecture, and AI‑driven cockpit intelligence
Provide technical leadership across the full software stack, including Android Framework, System Services, HAL layers, middleware, connectivity stacks, media/audio frameworks, HMI toolchains, and cloud‑connected AI runtimes within an SDV‑aligned architecture
Lead and mentor engineering teams in platform bring‑up, system integration, performance optimization, and development of AI‑agentic features, multimodal interaction models, and next‑generation speech technologies
Manage multi‑year budgets for platform development, AI integration, SDV‑aligned compute evolution, SoC evaluations, cloud services, and prototype programs
Deliver executive‑level technical reporting on architecture decisions, platform readiness, SDV integration milestones, AI progress, risks, and strategic recommendations
Drive strategic planning for ICC’s infotainment and cockpit portfolio, including AAOS evolution, hybrid cloud/edge AI pipelines, intelligent mobile agent technologies, and SDV‑centric software and compute roadmaps
Align technical roadmaps with global VW Group Innovation teams across infotainment, connectivity, AI/ML, vehicle architecture, cloud services, and SDV platform strategy, ensuring cross‑platform consistency and shared component reuse
Build strategic relationships with SoC vendors, Tier‑1 suppliers, cloud providers, and AI technology partners to influence cockpit compute and SDV platform evolution
Maintain partnerships with Silicon Valley companies specializing in AI runtimes, LLMs, speech, multimodal interaction, and automotive‑grade SDV‑compatible software frameworks
Collaborate with academic and research institutions on AI‑agentic systems, embedded ML, HMI, and in‑vehicle compute architectures aligned with SDV principles

What we offer

Eligibility for annual performance bonus
Healthcare benefits
401(k), with company match
Defined contribution retirement program
Tuition reimbursement
Company lease car program
Paid time off

Fulltime

AI Program Manager, Performance

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologie...

Location

United States , New York, NY

Salary:

258950.00 - 294800.00 USD / Year

Senior Research Engineer

As a Senior Research Engineer at Microsoft, you will advance Microsoft’s mission...

Location

United States , Redmond

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, Physics, or a related field and 4 or more years in applied ML or AI research and product engineering
OR Master’s degree and 3 or more years in applied ML or AI research and product engineering
OR PhD in a relevant field and 2 or more years with generative AI, LLMs, or related ML algorithms
Ability to meet Microsoft, customer and/or government security screening requirements
Microsoft Cloud Background Check upon hire/transfer and every two years thereafter

Job Responsibility

Bringing State-of-the-Art Research to Products
Design and implement AI systems using foundation models, prompt engineering, retrieval-augmented generation, multi-agent architectures, and classic ML
Fine-tune large language models on domain-specific data and evaluate via offline and online methods such as A/B testing, telemetry, and shadow deployments
Build and harden prototypes into production-ready services using robust software engineering and MLOps practices
Drive original research and thought leadership (whitepapers, internal notes, patents)
convert insights into shipped capabilities
Research Translation: Continuously review emerging work
identify high-potential methods and adapt them to Microsoft problem spaces
End-to-End System Development
ML Design & Architecture: Own end-to-end pipeline from data prep, training, evaluation, deployment, and feedback loops

Fulltime

Senior Software Engineer

As a Senior Research Engineer at Microsoft, you will advance Microsoft’s mission...

Location

India , Hyderabad

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, Physics, or a related field and 4 or more years in applied ML or AI research and product engineering
Master’s degree and 3 or more years in applied ML or AI research and product engineering
PhD in a relevant field and 2 or more years with generative AI, LLMs, or related ML algorithms
Proficiency in Python and at least one deep learning framework such as PyTorch, JAX, or TensorFlow
Experience deploying Fine Tuned LLMs or multimodal models in live production environments
Experience shipping and maintaining production AI systems
Ability to meet Microsoft, customer, and government security screening requirements
Microsoft Cloud Background Check upon hire or transfer and every two years thereafter

Job Responsibility

Bringing State-of-the-Art Research to Products
Design and implement AI systems using foundation models, prompt engineering, retrieval-augmented generation, multi-agent architectures, and classic ML
Fine-tune large language models on domain-specific data and evaluate via offline and online methods such as A/B testing, telemetry, and shadow deployments
Build and harden prototypes into production-ready services using robust software engineering and MLOps practices
Drive original research and thought leadership (whitepapers, internal notes, patents)
convert insights into shipped capabilities
Research Translation: Continuously review emerging work
identify high-potential methods and adapt them to Microsoft problem spaces
End-to-End System Development
ML Design & Architecture: Own end-to-end pipeline from data prep, training, evaluation, deployment, and feedback loops

Fulltime

Research Intern - AI Evaluation and Alignment

Microsoft Corporation

Location:
United States , Redmond

Category:
Research and Development

Contract Type:
Employment contract

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
February 04, 2026

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