Research Intern - AI Safety & Reliability for LLM Systems Job at Microsoft Corporation (Redmond)

Director of AI Engineering

We are entering a hyper-growth phase of AI innovation and are hiring a Director ...

Location

Canada; United States

Salary:

300000.00 - 450000.00 USD / Year

Apollo.io

Expiration Date

Until further notice

Requirements

10–15+ years in software engineering, with significant leadership experience owning AI/ML or applied LLM systems at scale
Proven history shipping LLM-powered features, agentic workflows, or AI assistants used by real customers in production
Deep understanding of LLM orchestration frameworks (LangChain, LlamaIndex), RAG pipelines, vector search, embeddings, and prompt engineering
Expert in backend & distributed systems (Python strongly preferred) and cloud infrastructure (AWS/GCP)
Strong experience with telemetry, observability, and cost-aware real-time inference optimizations
Demonstrated ability to lead senior engineers, define technical roadmaps, and deliver outcomes aligned to business metrics
Experience building or scaling teams working on experimentation, optimization, personalization, or ML-powered growth systems
Exceptional ability to simplify complex problems, set clear standards, and drive alignment across Product, Data, Design, and Engineering
Strong product sense, ability to weigh novelty vs. impact, focus on user value, and prioritize speed with guardrails
Fluent in integrating AI tools into engineering workflows for code generation, debugging, delivery velocity, and operational efficiency

Job Responsibility

Define the multi-year technical vision for Apollo’s AI stack, spanning agents, orchestration, inference, retrieval, and platformization
Prioritize high-impact AI investments by partnering with Product, Design, Research, and Data leaders to align engineering outcomes with business goals
Establish technical standards, evaluation criteria, and success metrics for every AI-powered feature shipped
Lead the architecture and deployment of long-horizon autonomous agents, multi-agent workflows, and API-driven orchestration frameworks
Build reusable, scalable agentic components that power GTM workflows like research, enrichment, sequencing, lead scoring, routing, and personalization
Own the evolution of Apollo’s internal LLM platform for high-scale, low-latency, cost-optimized inference
Oversee model-driven experiences for natural-language interfaces, RAG pipelines, semantic search, personalized recommendations, and email intelligence
Partner with Product & Design to build intuitive conversational UX that hides underlying complexity while elevating user productivity
Implement rigorous evaluation frameworks, including offline benchmarking, human-in-the-loop review, and online A/B experimentation
Ensure robust observability, monitoring, and safety guardrails for all AI systems in production

What we offer

Equity
Company bonus or sales commissions/bonuses
401(k) plan
At least 10 paid holidays per year
Flex PTO
Parental leave
Employee assistance program and wellbeing benefits
Global travel coverage
Life/AD&D/STD/LTD insurance
FSA/HSA

Fulltime

New

Artificial Intelligence Engineer

PMGTech leads PMG’s AI strategy by building an AI-ready research environment, un...

Location

India , Mumbai

Salary:

Not provided

BlackRock Investments

Expiration Date

February 27, 2026

Requirements

Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or equivalent
6+ years of work experience delivering ML, AI, and data-intensive systems
Hands-on experience building and deploying AI systems end-to-end - including LLM workflows, prompt engineering, RAG pipelines, entity extraction, embeddings/vector search, text2sql, fine-tuning, evaluation, and backend integration using Python and SQL
Strong written and oral communication skills and ability to work directly with investors and senior partners is a must

Job Responsibility

Design architectures for AI-powered research applications leveraging Generative AI capabilities (RAG, agentic workflows, search, model fine-tuning)
Partner with investors to translate open-ended research questions into feasible AI-driven product concepts
Be hands-on in leading the lifecycle from POC to MVP to production for AI applications, including data pipelines and backend integration
Own the end-to-end user experience of investor-facing research apps, including intuitive front-end UI designs
Evaluate emerging models and APIs
define best practices for prompts, safety, reliability, and testing with internal and external tech teams
Leverage enterprise data engines, orchestration frameworks, and secure/observable production practices with Engineering Hub and Platforms
Implement monitoring, observability, evaluation frameworks, and data-quality safeguards for GenAI-powered research applications

What we offer

strong retirement plan
tuition reimbursement
comprehensive healthcare
support for working parents
Flexible Time Off (FTO)

Fulltime

!

Manager, Machine Learning - Community Support Engineering

The Community Support Platform (CSP) at Airbnb is a critical system that drives ...

Location

United States

Salary:

204000.00 - 255000.00 USD / Year

Airbnb

Expiration Date

Until further notice

Requirements

Expertise in various machine learning and AI methodologies, including LLMs and non-LLMs, tailored for user-facing products
Proven experience in leading teams that develop large-scale ML models and systems to improve online user experiences
Strong leadership skills with a track record of nurturing an innovative and collaborative team environment
Exceptional verbal and written communication abilities, with a keen eye for detail
Demonstrated capability to work effectively with stakeholders at all organizational levels, both internally and externally
Skilled in navigating and resolving ambiguous challenges through proactive and strategic approaches
PhD, or Master's degree in Computer Science, Mathematics, Statistics, or related technical field
10+ years of experience in building and shipping AI models and products, including 2+ years of experience with LLMs
5+ years managing machine learning teams that deliver large impact
Expert knowledge of machine learning algorithms and techniques

Job Responsibility

Lead and mentor a dynamic team of highly skilled applied scientists and machine learning engineers in the research, design and optimization of AI models and services
Develop and refine the overarching strategy for the ML and AI aspects of our community support products, focusing on scalability, quality, safety, performance, and reliability
Foster rapid development cycles without sacrificing quality, collaborating closely with platform, backend, and frontend engineers to engineer robust ML models and systems that enhance community support initiatives
Evaluate technical trade-offs in key decisions, ensuring optimal outcomes through data-backed strategies
Conduct thorough design and architecture reviews to continually elevate our standards of technical excellence

What we offer

bonus
equity
benefits
Employee Travel Credits

Fulltime

New

Principal Research Engineer

As a Principal Research Engineer at Microsoft, you will set the technical vision...

Location

United States , Redmond

Salary:

139900.00 - 274800.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
Master's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
PhD in AI/ML or related field with top-venue publications and/or patents
Experience architecting and deploying LLMs/multimodal models and multi-agent systems in production at scale
Familiarity with Responsible AI frameworks and bias-mitigation techniques
Demonstrated ability to shape product strategy and drive organizational change
Experience with Microsoft’s LLMOps stack: Azure AI Foundry, Azure Machine L
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter

Job Responsibility

Define and execute technical strategy for foundational models, multi-agent systems, and next-generation Copilot experiences, especially within Business & Industry Copilot
Lead cross-team efforts to deliver scalable, reliable, and responsible AI systems
Advance the state of the art and translate breakthroughs into measurable customer and business impact
Architect and deliver complex AI systems across model development, data, infra, evaluation, and deployment spanning multiple product lines
Set technical direction for large programs
drive alignment across Research, Engineering, and Product
Integrate LLMs, multimodal models, multi-agent architectures, and RAG into Microsoft’s ecosystem
Establish best practices for MLOps, governance, and Responsible AI, compliant with Microsoft principles and industry standards
Drive original research and thought leadership (whitepapers, internal notes, patents)
convert insights into shipped capabilities

Fulltime

AI / ML Engineer, Software Engineering

iCapital is seeking an experienced and forward-thinking AI/ML Engineer Vice Pres...

Location

United States , New York

Salary:

180000.00 - 220000.00 USD / Year

iCapital Network

Expiration Date

Until further notice

Requirements

8+ years of experience in software engineering, with at least 2+ years focused on AI/ML systems
Proven experience in building and deploying ML models in production environments
Hands-on experience with AI agent frameworks (e.g., LangChain, Semantic Kernel, AutoGen, or custom-built systems)
Strong understanding of the ML lifecycle, including data pipelines, model training, evaluation, deployment, and monitoring
Familiar with MLOps tools such as MLflow, Kubeflow, or SageMaker
Deep understanding of LLM orchestration, prompt engineering, tool use, and memory architectures
Familiar with various LLM inference engines such as vLLM or SGLang
Experience in integrating agents with APIs, databases, and external systems
Familiar with retrieval-augmented generation (RAG), vector databases, and knowledge graphs
Experience deploying AI systems in cloud environments (AWS, GCP, Azure) and utilizing containerization tools (Docker, Kubernetes)

Job Responsibility

Design, build, and optimize scalable AI/ML infrastructure and services powering intelligent features across our platform
Lead the development of AI agents capable of autonomous decision-making, task execution, and multi-step reasoning across internal and customer-facing applications
Architect and implement modular agent frameworks by integrating tools, APIs, and memory systems for dynamic and context-aware behavior
Collaborate with product, data, and infrastructure teams to embed AI capabilities into production systems
Drive the architecture and development of ML pipelines, model serving frameworks, and real-time inference systems
Evaluate and integrate state-of-the-art AI tools and frameworks to accelerate development and deployment
Provide technical mentorship and guidance to engineers, contributing to team growth and best practices
Partner with Data Science teams to operationalize models, ensuring a smooth transition from experimentation to production
Contribute to technical roadmaps and help define long-term AI/ML platform and agent strategy
Optimize agent performance for latency, reliability, and safety in production environments

What we offer

Equity for all full-time employees
Annual performance bonus
Employer matched retirement plan
Generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling
Parental leave
Unlimited paid time off (PTO)

Fulltime

New

Principal Research Engineer

As a Principal Research Engineer at Microsoft, you will set the technical vision...

Location

United States , Redmond

Salary:

139900.00 - 274800.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
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

Define and execute technical strategy for foundational models, multi-agent systems, and next-generation Copilot experiences, especially within Business & Industry Copilot
Lead cross-team efforts to deliver scalable, reliable, and responsible AI systems
Advance the state of the art and translate breakthroughs into measurable customer and business impact
Architect and deliver complex AI systems across model development, data, infra, evaluation, and deployment spanning multiple product lines
Set technical direction for large programs
drive alignment across Research, Engineering, and Product
Integrate LLMs, multimodal models, multi-agent architectures, and RAG into Microsoft’s ecosystem
Establish best practices for MLOps, governance, and Responsible AI, compliant with Microsoft principles and industry standards
Drive original research and thought leadership (whitepapers, internal notes, patents)
convert insights into shipped capabilities

Fulltime

Senior Applied AI Engineer

We’re hiring a Senior Applied AI Engineer to join a fast‑moving, high‑ownership ...

Location

United States , Mountain View

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
Master’s Degree AND 3+ years of experience in engineering, problem solving, model building, evaluation, data analysis OR equivalent experience
2+ years shipping production-level code, models, or data analysis
1+ years using AI-assisted coding and analysis techniques
Experience working on small teams and mid-stage startup environments
Experience working on AI products
PhD in engineering, applied math, statistics, or related analytical field
4+ years shipping production-level code, models, or data analysis
Deep experience building from zero-to-one
Hands on work hillclimbing AI evaluations

Job Responsibility

Design and ship LLM‑powered assistant features, including conversational flows, agentic behaviors, retrieval pipelines, and multimodal interactions
Build prompt architectures, system instructions, and orchestration logic that ensure reliability, grounding, and personality consistency
Prototype new capabilities rapidly and iterate based on user signals and evaluation data
Build and maintain evaluation frameworks for correctness, safety, grounding, and UX quality
Run hillclimbing loops across prompts, models, and tool‑use strategies to continuously improve assistant performance
Analyze failure modes, design mitigations, and drive systematic improvements across the stack
Develop internal tools for prompt experimentation, model comparison telemetry and debugging automated eval pipelines
Create reusable frameworks that accelerate the entire AI org’s ability to ship high‑quality assistant features
Integrate LLMs with product surfaces, APIs, and backend systems
Build lightweight ML components (ranking, classification, summarization, personalization) that enhance assistant intelligence

Fulltime

New

Product Analyst — GenAI/Agentic Insights

In support of Workato’s broader push toward becoming a wall‑to‑wall agentic comp...

Location

Singapore

Salary:

Not provided

Workato

Expiration Date

Until further notice

Requirements

Strong AI use encouraged: you’re excited to use AI tools to move faster (while staying rigorous about correctness, privacy, and safety)
Modern analytics skillset: strong SQL + data wrangling
comfortable translating messy questions into clean analysis
Text/qual comfort: excited to analyze and structure qualitative data (transcripts, notes, open‑ended feedback) alongside quantitative signals
LLM + agentic systems fundamentals: familiarity with prompting, structured outputs, tool/function calling, retrieval/RAG, and basic evaluation/guardrails
Builder mindset: you ship usable things: prototypes, automations, scripts, lightweight internal tools
not just slides
Product sense: you can clearly articulate tradeoffs, propose practical workflows, and align outputs to stakeholder decisions
Clear communication: you can make complex findings and systems legible through crisp writing, visualizations, docs, and demos
Graduating senior with a relevant BS/MS degree (CS, Data Science, HCI, Design Engineering, or related)

Job Responsibility

Multimodal analysis for product & design decisions (quant + qual): Work with qualitative and quantitative data sources to consolidate product signals across channels
Partner closely with Product Researchers, Designers, and Product Managers to define schemas and pipelines that make qualitative and quantitative signals joinable
Run analyses that inform product and design decisions: trend analysis, segmentation, lightweight experimentation readouts, measurement strategy, and narrative synthesis
Use LLMs to help turn messy qualitative data into structured, explainable representations
Build small tools/dashboards that keep decisions data‑informed
Help teams frame hypotheses, interpret results, and connect insights to product/design actions across Workato’s product offerings
Agentic insight delivery (insights that actually land): Build and iterate on a User Insight Agent that supports everyday product decisions
Create stakeholder‑ready outputs with traceable evidence, tailored to the decision being made
Design for trust and reliability: transparency, citations to source evidence, confidence/uncertainty signals, rigorous evaluation/guardrails, and human‑in‑the‑loop controls
Implement evaluation + observability so the system improves over time

What we offer

A front‑row seat and real ownership on what “next‑gen analytics” looks like in an agentic company
Mentorship across Product Research, Design, PM, Engineering, and AI Lab teams
The chance to ship state-of-the-art Agentic products—both internally, and externally to customers—that influence real product decisions and help shape how insights flow through the org
Hands‑on experience building, evaluating, and hardening LLM/agent workflows for real stakeholders and real decisions
A stronger portfolio of practical work artifacts (insight narratives, lightweight tools, automations, evaluation setups) you can talk about
A flexible, trust-oriented culture
A vibrant and dynamic work environment
A multitude of benefits they can enjoy inside and outside of their work lives

Fulltime

Research Intern - AI Safety & Reliability for LLM Systems

Microsoft Corporation

Location:
United States , Redmond

Category:
Research and Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
February 21, 2026

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