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

New

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 or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
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/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

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/Staff Machine Learning Engineer - Health Evaluation - AI Teams

At Doctolib, we're on a mission to transform how healthcare is delivered by harn...

Location

France , Paris

Salary:

Not provided

Doctolib

Expiration Date

Until further notice

Requirements

MSc or PhD in Computer Science, Machine Learning, Data Science, or related field
7+ years of hands-on experience working with large language models (e.g., GPT, Claude, Llama, or BERT-like architectures)
Proven experience in evaluating agentic or reasoning systems (e.g., autonomous agents, tool-using LLMs, dialogue systems, or task-oriented assistants)
Strong track record in experiment design, metric definition, and evaluation automation
Ability to bridge research and production, influencing modeling and product decisions
Excellent communication skills and a collaborative mindset

Job Responsibility

Define and own the evaluation strategy for our AI agentic system - metrics, protocols, datasets, and tooling
Implement and maintain automated evaluation pipelines to monitor model quality, safety, and alignment across iterations
Run systematic experiments to assess reasoning, factuality, robustness, and user experience
Collaborate closely with model developers and research scientists to provide insights and drive iterative improvement
Contribute to research and internal knowledge sharing on LLM evaluation methodologies and best practices

What we offer

Free health insurance for you and your children
Parent Care Program: receive one additional month of leave on top of the legal parental leave
Free mental health and coaching services through our partner Moka.care
For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support
Work from EU countries and the UK for up to 10 days per year, thanks to our flexibility days policy
Work Council subsidy to refund part of sport club membership or creative class
Up to 14 days of RTT
Lunch voucher with Swile card

Fulltime

New

Enterprise AI Architect

The Enterprise AI Architect proactively and holistically works with enterprise d...

Location

United States

Salary:

118100.00 - 212500.00 USD / Year

Healthfirst

Expiration Date

Until further notice

Requirements

Master’s or bachelor’s degree in business, computer science, engineering, systems analysis, or related field, or equivalent experience
Minimum of two years of design and implementation experience in IT, including deep knowledge of AI/ML frameworks, AI development environments, cloud platforms, and big data technologies
Minimum of two years of experience in solution architecture development and delivery, including business architecture interpretation
Experience designing or implementing agent-based AI systems, autonomous agents, multi-agent orchestration, or workflow‑integrated AI components
Working knowledge of business process management (BPM), process modeling, and translating processes into agent-oriented workflows
Understanding of A2A communication principles, MCP-based tool integration, and foundational agent governance concepts
High School diploma or GED from an accredited institution

Job Responsibility

Collaborates with all delivery programs to assess solution requirements, evaluate AI/ML technologies, and support model/vendor selection
Provides architectural guidance to business domain aligned delivered programs by defining and designing AI‑enabling technologies that support business capabilities, processes, and enterprise initiatives
Supports design and governance of enterprise agentic AI architectures, including autonomous agents, multi‑agent systems, A2A communication patterns, and agent orchestration frameworks
Leads integration of Model Context Protocol (MCP) to standardize tool, service, and data access across agents, ensuring secure, auditable, and consistent interactions
Architects and operationalizes an enterprise Agentic Control Plane (ACP) to manage agent lifecycle, permissions, safety constraints, observability, escalation pathways, and runtime governance
Recommends business processes modernization options using business process management (BPM) and process mining methodologies to support agent-driven or multi‑agent execution
Supports delivery teams in implementing AI solution architectures aligned with enterprise reference architecture, security requirements, and governance protocols
Stays current with developments in AI research, agentic systems, orchestration frameworks, LLM methodologies, and emerging enterprise AI technologies
Conducts technology-neutral due diligence to evaluate AI platforms, agent frameworks, MCP compatibility, ACP infrastructure, and enabling tools
Partners with business stakeholders and delivery leaders to deliver architectural runway for highly composable AI and agent capabilities

What we offer

medical, dental and vision coverage, incentive and recognition programs, life insurance, and 401k contributions

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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