The Economic Research team at Anthropic studies the economic implications of AI on individual, firm, and economy-wide outcomes. We build scalable systems to monitor AI usage patterns and directly measure the impact of AI adoption on real-world outcomes. We publish research and data that is clear-eyed about the economic effects of AI to help policymakers, businesses, and the public understand and navigate the transition to powerful AI.

In this role, you will work closely with teams across Anthropic,including Data Science and Analytics, Data Infrastructure, Societal Impacts, and Public Policy,to build scalable and robust data systems that support high-leverage, high-impact research. Strong candidates will have a track record building data processing pipelines, architecting & implementing high-quality internal infrastructure, working in a fast-paced startup environment, navigating ambiguity, and demonstrating an eagerness to develop their own research & technical skills.

Responsibilities:

• Build and maintain data pipelines that process large scale Claude usage logs into canonical, reusable datasets while maintaining user privacy.
• Expand privacy-preserving tools to enable new analytic functionality to support research needs.
• Design and implement novel data systems leveraging language models (e.g., CLIO) where traditional software engineering patterns don't yet exist.
• Develop and maintain data pipelines that are interoperable across data sources (including ingesting external data) and are designed to support economic analysis.
• Contribute to the strategic development of the economic research data foundations roadmap
• Ensure data reliability, integrity, and privacy compliance across all economic research data infrastructure
• Lead technical design discussions to ensure our infrastructure can support both current needs and future research directions
• Create documentation and best practices that enable self-serve data access for researchers while maintaining security and governance standards.
• Partner closely with researchers, data scientists, policy experts, and other cross-functional partners to advance Anthropic’s safety mission

You might be a good fit if you have:

• Experience working with Research Scientists and Economists on ambiguous AI and economic projects
• Experience with building and maintaining data infrastructure, large datasets, and internal tools in production environments.
• Experience with cloud infrastructure platforms such as AWS or GCP.
• Take pride in writing clean, well-documented code in Python that others can build upon
• Are comfortable making technical decisions with incomplete information while maintaining high engineering standards
• Are comfortable getting up-to-speed quickly on unfamiliar codebases, and can work well with other engineers with different backgrounds across the organization
• Have a track record of using technical infrastructure to interface effectively with machine learning models
• Have experience deriving insights from imperfect data streams
• Have experience building systems and products on top of LLMs
• Have experience incubating and maturing tooling platforms used by a wide variety of stakeholders
• A passion for Anthropic's mission of building helpful, honest, and harmless AI and understanding its economic implications.
• A “full-stack mindset”, not hesitating to do what it takes to solve a problem end-to-end, even if it requires going outside the original job description.
• Strong communication skills to collaborate effectively with economists, researchers, and cross-functional partners who may have varying levels of technical expertise.

Strong candidates may have:

• Background in econometrics, statistics, or quantitative social science research
• Experience building data infrastructure and data foundations for research
• Familiarity with large language models, AI systems, or ML research workflows
• Prior work on projects related to labor economics, technology adoption, or economic measurement

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We take care of our classics with passion, covering everything from purchasing to supply chain management, product management, product development, and quality management. Classic bundles all core competences under one roof to enable worldwide supply with classic original parts and to let dreams live on.

In the area of product development and quality, we are responsible for all technical questions throughout the entire product creation process of classic original parts. We exchange ideas with interfaces such as suppliers, test partners, and colleagues from development. Additionally, we provide worldwide technical market support for all vehicle models.

During the internship, you will gain comprehensive insights into product development and quality management of various vehicle components and have the opportunity to demonstrate your skills in your own projects.

Your focal points will be:

• Product development, project, and change management
• Development of classic original parts according to current state-of-the-art technology
• Communication with suppliers and coordination of interfaces
• Quality planning and control of classic products
• Research work and coordination of prototype installations

Start: March/April and September/October Duration: 5 to 6 months

We offer you:

• Digital learning and working materials
• Mobile learning and flexible working hours after coordination with the team
• An active internship community

What sets you apart:

• A place of study for mathematics, computer science, natural sciences, engineering, or a comparable course of study (at least in the third semester or in the gap year between bachelor's and master's degree)
• Ideally, knowledge of manufacturing processes and production procedures
• Strong team and communication skills, as well as independent and analytical working methods
• Secure handling of MS Office
• Very good German and good English skills (at least B2)
• Driver's license class B is advantageous
• Fascination with the automotive theme

If you have any questions, please feel free to contact us. We regularly receive questions about the application process at Porsche. Here you will find the most important information already.

Please note that you can only apply for an internship position. Further applications cannot be considered if an active application is already in place. However, please mention in the cover letter if you are interested in further positions.

Once you have found a suitable position, fill out our online application form and add your complete application documents (cover letter, CV, work and school certificates, and possibly further certifications) at the end. Please understand that we do not accept applications by post or email.

We welcome applications from people with disabilities, whose integration is a particular concern for us.

Applicants from the European Economic Area who apply for an internship in Germany need a passport or identity card. Applicants from outside the European Economic Area need a residence permit and possibly a work permit for the duration of the internship.

For more information on applying to Porsche, please see here.

At Porsche, we are guided by the values of our founder, Ferry Porsche: 'I looked around, but couldn't find the car I dreamed of, so I decided to build it myself.' This quote captures everything that makes Porsche special. Employees who think this way always find open doors at Porsche. Porsche is a valuable brand with global appeal and a loyal customer base around the world.

The way we work together and hold ourselves together at Porsche is unique. Our teamwork is shaped by our strong Porsche culture: heart and soul | sportiness | pioneering spirit | family.

We live diversity, promote equal opportunities, and actively foster an inclusive community at Porsche. Respect and tolerance are deeply rooted in our corporate culture. We create an environment that fosters individuality and promotes the interests of the company.

The key to our success lies in the diversity of perspectives. The combination of individual strengths and experiences drives innovation and strengthens our teams. We have also committed to the Diversity Charter. After all, everyone is unique. Together, we are diverse. And together, we are successful.

Our locations:

Our locations in detail, including travel and detailed descriptions.

Learn more

Our culture:

Our cultural values shape our daily collaboration in the team and our interaction with each other.

Learn more

Apply now: ?ac=application&jobad_id=20204

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We're seeking a Science Research Operations team member to build and own the operational infrastructure that keeps our research organisation running at full speed.

Our science teams are working on some of the hardest and most consequential problems in AI,training large-scale models, running complex experiments, and building novel products at the frontier. What makes that possible isn't just talent: it's the coordination, systems, and programs that let researchers spend their time on the science rather than the overhead around it.

This role sits at the intersection of research operations, technical program management, and product strategy. You'll work directly with research scientists and research engineers, doing a mix of tasks including running research partnerships, managing complex internal programs, and helping run the team’s day-to-day operations.

Responsibilities:

• Build and manage custom expert contractor networks, sourcing domain specialists for eval and training data work that requires expertise beyond standard channels
• Run research partnerships with external partners, from scoping through delivery
• Provide end-to-end TPM support for major research pushes,coordinating across teams, tracking dependencies, and keeping stakeholders aligned
• Ensure that our research progress is complemented by products that enable scientists to make maximal use of model capabilities.
• Support recruiting efforts.
• Coordinate external communications for the team, including supporting blog posts and preparing public-facing materials
• Partner with product teams to contribute to science product strategy, product design, and novel product integrations where research and product intersect
• Own team logistics including onboarding coordination, team events, and operational programs that improve team efficiency

You may be a good fit if you:

• Have experience in research operations, technical program management, or a related role in a fast-moving technical environment
• Can context-switch fluidly between operational work (logistics, tracking, coordination) and higher-order work (strategy, partnerships, product thinking)
• Have a technical background, with experience in software development, machine learning, or biology R&D.
• Are comfortable working directly with research scientists and engineers,you ask good questions, you don't need things explained twice, and you know when to escalate vs. when to handle it yourself
• Have a track record of building systems and processes from scratch rather than inheriting them
• Bring strong written communication skills and can represent the team accurately in external-facing materials
• Have managed contractors or external partners before, including scoping work, tracking delivery, and ensuring quality
• Are results-oriented, with a bias toward flexibility and impact
• Thrive in ambiguous, fast-moving environments where priorities shift and no two weeks look the same

Strong candidates may also have:

• Direct experience sourcing and managing expert contractor networks, particularly in technical or scientific domains
• Familiarity with ML research workflows,training runs, evaluations, data pipelines,and what makes them succeed or stall
• Experience contributing to product development or product strategy, not just operations

Logistics

Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the research operations role Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. Visa sponsorship: We do sponsor visas!

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As a software engineer on this team, you will:

• Build and operate data pipelines that extract data from research training runs and land it in storage systems that are easy and fast to query
• Work closely with researchers to design and build APIs, libraries, and web interfaces that support data management, exploration, and analysis
• Develop dataset management, data cataloging, and provenance tooling that researchers use in their day-to-day work
• Embed with research teams to understand their workflows, identify high-leverage tooling opportunities, and ship solutions quickly
• Collaborate with adjacent teams to build on existing systems rather than reinventing them

You may be a good fit if you have significant software engineering experience, particularly building data-intensive applications or internal tooling. You should enjoy working directly with users, gathering requirements iteratively, and shipping things that get adopted. You should also be results-oriented, with a bias towards flexibility and impact.

Strong candidates may also have experience with large-scale ETL, columnar storage formats, and query engines, high-volume time series data, data cataloging, lineage, or metadata management systems, ML experiment tracking or metrics platforms, complex data visualization, and full-stack web application development.

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We're seeking a Science Research Operations team member to build and own the operational infrastructure that keeps our research organisation running at full speed.

Our science teams are working on some of the hardest and most consequential problems in AI,training large-scale models, running complex experiments, and building novel products at the frontier. What makes that possible isn't just talent: it's the coordination, systems, and programs that let researchers spend their time on the science rather than the overhead around it.

This role sits at the intersection of research operations, technical program management, and product strategy. You'll work directly with research scientists and research engineers, doing a mix of tasks including running research partnerships, managing complex internal programs, and helping run the team’s day-to-day operations.

Responsibilities:

• Build and manage custom expert contractor networks, sourcing domain specialists for eval and training data work that requires expertise beyond standard channels
• Run research partnerships with external partners, from scoping through delivery
• Provide end-to-end TPM support for major research pushes,coordinating across teams, tracking dependencies, and keeping stakeholders aligned
• Ensure that our research progress is complemented by products that enable scientists to make maximal use of model capabilities.
• Support recruiting efforts.
• Coordinate external communications for the team, including supporting blog posts and preparing public-facing materials
• Partner with product teams to contribute to science product strategy, product design, and novel product integrations where research and product intersect
• Own team logistics including onboarding coordination, team events, and operational programs that improve team efficiency

You may be a good fit if you:

• Have experience in research operations, technical program management, or a related role in a fast-moving technical environment
• Can context-switch fluidly between operational work (logistics, tracking, coordination) and higher-order work (strategy, partnerships, product thinking)
• Have a technical background, with experience in software development, machine learning, or biology R&D.
• Are comfortable working directly with research scientists and engineers,you ask good questions, you don't need things explained twice, and you know when to escalate vs. when to handle it yourself
• Have a track record of building systems and processes from scratch rather than inheriting them
• Bring strong written communication skills and can represent the team accurately in external-facing materials
• Have managed contractors or external partners before, including scoping work, tracking delivery, and ensuring quality
• Are results-oriented, with a bias toward flexibility and impact
• Thrive in ambiguous, fast-moving environments where priorities shift and no two weeks look the same

Strong candidates may also have:

• Direct experience sourcing and managing expert contractor networks, particularly in technical or scientific domains
• Familiarity with ML research workflows,training runs, evaluations, data pipelines,and what makes them succeed or stall
• Experience contributing to product development or product strategy, not just operations

Logistics

Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the research operations role Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas!

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BlackRock is seeking a Director, Head of Private Credit, Preqin Research Insights to join the team in London. The ideal candidate will possess extensive knowledge of the private credit industry and be an excellent communicator in public settings.

Role Overview

BlackRock is a global asset manager and technology provider committed to helping more and more people achieve financial wellbeing. Continuous innovation enables us to bring the best of BlackRock to our clients — especially as we expand and strengthen our leadership in private markets, supported by Aladdin, our end-to-end investment, risk and data platform.

Private Credit is a key growth area for both the firm and for Preqin, Aladdin’s private markets data business. In this context, the Preqin Research Insights team is seeking a Head of Private Credit to join the team in London.

The Research Insights team serves as Preqin’s authoritative voice in the market and comprises more than 15 analysts across alternative asset classes, based in London, New York, Dallas, Singapore and Hong Kong. The team produces over 100 institutional research publications a year (www.preqin.com/insights) that are available to subscribers through Preqin’s commercial platform (PreqinPRO), and have seen strong growth over the last few years. The team also presents at over 50 industry forums and hundreds of strategic BlackRock client engagements each year.

Key Responsibilities

• Lead Private Credit research: lead research agenda to position Preqin as thought-leader on private credit across the industry, in collaboration with the Head of Preqin Research and partners across BlackRock
• Client and media engagement: represent Preqin at industry events, client meetings and financial press engagements
• Team development: mentor a team of researchers that touch private credit across Preqin Research, helping to ensure the production of high quality data driven content that resonates with clients
• Stakeholder engagement: build strong relationships across BlackRock teams working on private credit, across investment, client, Aladdin and corporate functions
• Product leadership: provide feedback on Preqin Private Credit data roadmap, grounded in the understanding of market developments and insights that clients need

Required Skills

• Industry experience: 15+ years of experience preferred in private credit or related areas. The ideal candidate will possess deep understanding of the broader private credit ecosystem, including Banks, Insurance and Wealth.
• Communication: exceptional presentation skills and ability to confidently and succinctly respond to questions
• Problem solving: ability frame problems and to define path forward in the absence of a clear industry standard (particularly relevant in private credit where definitions of key concepts – like “ABF” – are still evolving)
• Writing and analytical skills: demonstrated ability to analyze complex datasets and crystallize meaningful insights
• AI proficiency: hands-on comfort using AI tools in daily research work (e.g., prompt-based research, synthesis, data exploration – with awareness of AI limitations) and prompt engineering fundamentals (ability to create, test, iterate, and evaluate prompts/workflows to achieve consistent outputs)

Preferred Qualifications and Skills

• CFA or CAIA qualification preferred
• Bachelor's degree in a relevant field and advanced degree preferred
• Proficiency in Microsoft Office suite, particularly Excel, PowerPoint and Word.

Our benefits

To help you stay energized, engaged and inspired, we offer a wide range of employee benefits including: retirement investment and tools designed to help you in building a sound financial future; access to education reimbursement; comprehensive resources to support your physical health and emotional well-being; family support programs; and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.

Our hybrid work model

BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.

About BlackRock

At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.

This mission would not be possible without our smartest investment – the one we make in our employees. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.

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