Research, simulation agents intern Job at Waymo (London)

Research Intern - Multi-Agent Simulation - Deep Learning Group

Research Internships at Microsoft provide a dynamic environment for research car...

Location

United States , Redmond

Salary:

6710.00 - 13270.00 USD / Month

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Currently enrolled in a PhD program in Computer Science, Information Science, Statistics, Information Systems, Economics, Operation Research or a related STEM field
At least 1 year of experience in conducting research and writing peer-reviewed publications
Research Interns are expected to be physically located in their manager’s Microsoft worksite location for the duration of their internship
Actively conducting research in at least one of the following areas: Collaborative or Multi-party AI Agents, Reinforcement Learning (RLHF, RLVR, RFT), Multi-Agent Simulations (e.g. evaluating or training AI agents in collaborative settings), Synthetic data generation for LLM evaluation and fine-tuning, Understanding, verifying, or evaluating LLMs outputs, Agents (e.g. Memory, Goal management, Inter-Agent conversations)
Ability to collaborate effectively with your mentor and others in Microsoft on research projects
Proficient interpersonal and communication skills, cross-group, and cross-culture collaboration skills

Job Responsibility

Research Interns put inquiry and theory into practice
Learn, collaborate, and network for life
Advance their own careers and contribute to exciting research and development strides
Collaborate with other Research Interns and researchers, present findings, and contribute to the vibrant life of the community

What we offer

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work

Fulltime

Staff Product Security Engineer

We’re seeking a Staff Product Security Engineer with deep AI/ML security experti...

Location

United States , San Francisco

Salary:

250000.00 - 285000.00 USD / Year

Crusoe

Expiration Date

Until further notice

Requirements

8-10 years of deep hands-on experience in offensive security, including manual penetration testing, red team operations, and adversary simulation
Familiarity with modern C2 frameworks (e.g., Cobalt Strike, Sliver, Havoc), exploit development, and security research
Strong expertise across the AI/ML stack, including MLOps, inference architectures, vector databases, RAG, and agentic frameworks (e.g., ReAct, Reflexion)
Experience building, deploying, and securing LLM pipelines and AI workflows in Kubernetes and/or bare-metal environments
Strong software engineering foundations with experience shipping production code in Go, Python, or Rust
Hands-on experience securing Kubernetes, containers, VMs, and CI/CD environments
Deep understanding of application security vulnerabilities, secure coding practices, and distributed system design
Demonstrated ability to lead complex, cross-functional security initiatives end-to-end
Strong communication skills with the ability to influence both engineering teams and executive stakeholders

Job Responsibility

Performing advanced manual penetration testing across complex applications, infrastructure, Kubernetes environments, and distributed microservice ecosystems
Leading offensive security initiatives including red team operations, adversary simulation, and security research
Securing AI/ML systems end-to-end, including LLM pipelines, vector databases, RAG architectures, and agentic workflows
Identifying and researching novel attack surfaces unique to LLMs and autonomous systems, contributing to internal and external AI security research
Influencing secure system design across the SDLC, embedding security into CI/CD pipelines, container images, and deployment workflows
Integrating and operationalizing security tooling (SAST, DAST, SCA, container scanning) and driving remediation of complex application-layer vulnerabilities
Building internal security guardrails such as hardened base images, reusable libraries, and policy-as-code frameworks
Developing production-grade security tooling and leading cross-functional security programs from design through deployment

What we offer

Bonus
Restricted Stock Units are included in all offers

Fulltime

Research Intern - AI/ML for Electricity Infrastructure Planning

Research Internships at Microsoft provide a dynamic environment for emerging res...

Location

United States , Redmond

Salary:

6710.00 - 13270.00 USD / Month

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Currently enrolled in a PhD program in Computer Science, Environmental Science, Electrical Engineering (Power Systems), Energy Systems, or a related field
One or more publications or substantial research experience in machine learning, causal inference, energy systems modeling, or related areas
Research Interns are expected to be physically located in their manager’s Microsoft worksite location for the duration of their internship
submit a minimum of two reference letters for this position as well as a cover letter and any relevant work or research samples

Job Responsibility

Conduct research on applying AI/Machine Learning(ML)—including LLMs, agentic AI, deep neural networks (DNNs) and/or causal inference—to electricity infrastructure planning and policy-relevant decision problems
Model and analyze real electricity system challenges, such as resource adequacy, load growth forecasting, datacenter siting, permitting workflows, grid flexibility, climate/weather-driven disruptions, transmission expansion, or regulatory impact assessments
Design and implement experiments, prototypes, or simulations using AI methods to support grid planning, permitting streamlining, or policy evaluation
Analyze empirical or model‑based results and contribute to technical reports, publications, or internal decision-support tools
Collect, organize, and preprocess relevant datasets (e.g., grid models, load forecasts, permitting data, climate/weather data) to support AI-driven electricity infrastructure planning and analysis
Collaborate with mentors and interdisciplinary teams to advance research directions
Present findings and participate in the intellectual life of MSR’s research community

Fulltime

Senior Quantum Applications Architect

Microsoft’s mission is to empower every person and every organization on the pla...

Location

Denmark , Copenhagen

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Doctorate in Computer Science, Mathematics, Physics, Physical Sciences, Software Engineering, or related field AND relevant experience, including research and/or development of commercial software, compilers, scientific computing applications, or multi-component systems
OR master’s degree in Computer Science, Mathematics, Physics, Physical Sciences, Software Engineering, or related field AND significant experience, including research and/or development of commercial software, compilers, scientific computing applications, or multi-component systems
OR bachelor’s degree in Computer Science, Mathematics, Physics, Physical Sciences, Software Engineering, or related field AND solid experience, including research and/or development of commercial software, compilers, scientific computing applications, or multi-component systems
OR equivalent experience
Significant experience in one or more of the following areas: high-performance computing, quantum algorithms, quantum error correction, quantum simulation
Demonstrated ability to work effectively across internal and external organizations, with strong communication and leadership skills
Ability to leverage AI tools to drive innovation and efficiency (e.g., performance modeling and analysis, research gathering, day to day task automation)
Evaluate agentic solutions with measurable metrics and human-in-the-loop safeguards following Microsoft Responsible AI requirements for generative AI
The 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

Work at the cutting-edge of quantum computing, designing algorithms and applications for fault-tolerant quantum computers
Develop and apply advanced toolsets for modeling quantum applications on a variety of hardware architectures, determining the quantum resources needed to execute them
Develop and apply new techniques for application- and architecture-aware quantum circuit compilation and optimization
Team with world-class engineers, researchers, architects, and leaders, contributing to your career growth
Drive cross-group collaboration within Microsoft Quantum’s qubit modeling, quantum error correction, and quantum applications teams
Embody our culture and values

Fulltime

Senior Software Engineer

As a Senior Software Engineer in the AI Research & Solutions group, you will be ...

Location

United States , Menlo Park

Salary:

Not provided

OutSystems

Expiration Date

Until further notice

Requirements

Software Engineering Foundation: 5+ years of experience building production software, with demonstrated ability to own and deliver complex features end-to-end
Python Proficiency: Strong hands-on experience with Python
ability to write clean, maintainable, and performant code
AI/ML Systems Exposure: Practical experience working with LLMs, AI agents, or ML systems—whether in industry, research, or open-source projects
API & Integration Skills: Experience designing and consuming REST/gRPC APIs
understanding of distributed systems patterns (queues, event-driven architectures, microservices)
Cloud-Native Familiarity: Working knowledge of containerization (Docker), orchestration (Kubernetes), and cloud platforms (AWS, Azure, or GCP)
Strongly Preferred: Elixir/OTP Experience: Hands-on experience with Elixir and OTP patterns—GenServers, Supervisors, Applications, and Phoenix
Background Flexibility (We Value Diverse Paths): Academic Contributors Welcome: We value candidates from research backgrounds—whether you completed a PhD, contributed to open-source projects during your studies, or built software to support your research in mathematics, physics, philosophy, or computational sciences
Abstraction Thinkers: If you've written code that models complex systems—whether that's physics simulations, formal logic systems, or distributed algorithms—we want to hear from you

Job Responsibility

Agentic Application Development: Build Agent Components: Design and implement production-grade components for AI agents—tools, orchestration logic, memory systems, and integrations with enterprise data sources
Quality & Reliability: Own the quality of your deliverables, writing robust, well-tested code that operates reliably in production environments
Performance Optimization: Profile and optimize agent behavior, API latencies, and resource consumption to meet enterprise-scale demands
Integration & Systems Thinking: Bridge Systems: Develop connective tissue between AI agent backends and the OutSystems low-code platform, ensuring seamless data flow and secure API contracts
Abstraction Design: Contribute to the design of software abstractions that enable agents to reason about and interact with complex legacy systems and modern architectures alike
Cross-Functional Delivery: Collaborate with researchers, product managers, and platform engineers to translate requirements into working solutions
Mentorship & Technical Growth: Mentor Junior Engineers: Support the growth of engineers through code reviews, pairing sessions, and knowledge sharing
Continuous Learning: Stay current with advances in agentic AI, LLM orchestration frameworks, and systems engineering practices
Documentation: Contribute to internal best practices, architecture decision records, and onboarding materials

What we offer

A company that is always growing, changing, and innovating
Real career opportunities
Work colleagues that are as smart, hard-working, and driven as you
Disrupting the status quo is in our DNA
We ask “why” a lot
OutSystems nurtures an inclusive culture of diversity, where everyone feels empowered to be their authentic self and perform at their best

Fulltime

Principal Data Scientist Manager

At Worldwide Learning (WWL), our mission is to inspire every person and organiza...

Location

United States , Multiple Locations

Salary:

139900.00 - 274800.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience
OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience
OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data-science experience
OR equivalent experience
3+ years people-management experience

Job Responsibility

Lead product data insights for Microsoft internal and external skilling/learning solutions such as AI Skills Navigator to drive product improvement and better learning outcomes for users and customers
Build a global learner graph representing relationships among skills, certifications, content, modalities, and multi-step learning pathways using graph intelligence techniques (GraphRAG, embeddings, entity resolution, GNNs)
Develop, operationalize, and evolve competency models, skill taxonomies, and certification readiness frameworks to measure proficiency progression and mastery
Create multi-step journey analytics for learners, partners, and field roles using sequential modeling, trajectory prediction, and pathway optimization
Apply LLMs and multi-modal embeddings to learning content (text, transcripts, assessments) to align content to skills, outcomes, and recommended learning paths
Invent and deliver standardized metrics and KPI frameworks that quantify learning outcomes, content effectiveness, competency development, and readiness improvement
Lead A/B testing, uplift modeling, counterfactual analysis, and causal inference to evaluate the impact of learning programs, content interventions, and skilling experiences
Build model evaluation frameworks including reliability scoring, bias detection, longitudinal cohort analysis, and scenario simulation
Quantify the relationship between learning outcomes and downstream business impact such as customer success, partner readiness, deployment velocity, Azure consumption, and revenue performance
Partner with the Microsoft Partner Division, Global Partner Solutions (GPS), and Worldwide Learning to assess partner skilling, certification progress, capability gaps, and ecosystem readiness

Fulltime

Senior Data Scientist - Economist – Elasticity Modeling

We’re building a world of health around every individual — shaping a more connec...

Location

United States

Salary:

111240.00 - 222480.00 USD / Year

CVS Health

Expiration Date

March 29, 2026

Requirements

Bachelor’s degree in a quantitative field such as economics, statistics, or a related field. Master’s degree is preferred
3+ years of work experience in retail, consulting, or a related field
Demonstrated experience applying statistical models and/or causal inference techniques (such as Hierarchical GLM, Double ML, synthetic control, and other quasi experimental techniques). Familiarity with surrogate models
Strong Python, R, and SQL skills, proficiency in working with large datasets
Experience working with a data engineering/MLOps team to productionize data science models, familiarity with version control (GitLab or GitHub), and ML platforms (AWS SageMaker, Databricks, GCP Vertex AI, etc.)
Excellent communication and presentation skills and attention to detail. Worked in an agile environment, has the flexibility to adapt to changing business needs

Job Responsibility

Solve complex problems, translate business requirements into testable hypotheses and measurable metrics, build causal, causal ML, and/or predictive models to understand localized trends, assess the competitive environment, and measure short- and long- term customer impacts to optimize pricing decisions
Develop and leverage in-depth knowledge of Retail Merchandising business processes, translate key drivers of business value to analytics opportunities, and simulate impact of business decisions to improve customer experience
Guide the technical approach, leverage large datasets, and build scalable and deployment ready models that work well with CVS Retail’s diverse product portfolio, develop robust methodologies and metrics to assess model performance
Stay up to date on the state-of-the-art modeling methodologies and latest research
Utilize the latest developments in the generative models (LLMs and other AI models) to improve and enrich the performance of the pricing models, rethink the deployment readiness and scalability of the models, and automation opportunities using agents
Work cross functionally with a range of technical and non-technical stakeholders including business partners, engineers, and other data and analytics teams. Share progress, findings, recommendations, and their business implications. Present meaningful and insights-driven materials on analytical results with recommendations and go forward planning to guide a variety of audiences including internal stakeholders and senior leadership

What we offer

Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan
No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching
Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility

Fulltime

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AirCare ALS Paramedic, Ground Transport

The ALS Paramedic provides professional care through high-quality assessment, tr...

Location

United States , Winston-Salem

Salary:

24.10 - 36.15 USD / Hour

Advocate Health Care

Expiration Date

Until further notice

Requirements

High school graduate or GED required
Successful completion of an accredited EMT-Paramedic training program required
North Carolina Paramedic certification required
BLS required
ACLS and PALS required to completing orientation
Two (2) years of clinical paramedic experience required - to include one (1) year of active field pre-hospital experience required
Advocate Health approved driving course to be completed within 90 days of hire
Must have a valid driver's license and qualify as insurable by Advocate Health insurance carrier requirements for driving AirCare vehicles

Job Responsibility

Provides professional care through high-quality assessment, triage / treatment to assess the nature and extent of a patient’s illness / injury and prioritize the needed care
Provides comprehensive care through skillful assessment, diagnosis, outcomes identification, planning, implementation, and evaluation
Must be proficient in advanced practice procedures to provide improved patient outcomes
Collects data pertinent to the healthcare consumer’s health or the situation
Analyzes the assessment data to determine the diagnosis or issues
Identifies expected outcomes for a plan individualized to the healthcare consumer or the situation
Develops a plan that prescribes strategies and alternatives to attain expected outcomes
Implements the identified plan, coordinates care delivery, and employs strategies to promote health and a safe environment
Evaluates progress toward attainment of outcomes
Practices ethically

What we offer

Paid Time Off programs
Health and welfare benefits such as medical, dental, vision, life, and Short- and Long-Term Disability
Flexible Spending Accounts for eligible health care and dependent care expenses
Family benefits such as adoption assistance and paid parental leave
Defined contribution retirement plans with employer match and other financial wellness programs
Educational Assistance Program
$7,500 sign–on bonus (eligibility requirements apply)

Fulltime

Research, simulation agents intern

Waymo

Location:
United Kingdom , London

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
March 22, 2026

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