To be successful in this role, you should have a strong background in vehicle technology, mechanical engineering, mechatronics, electrical engineering, or a related field. You should also have basic knowledge of system modeling, control engineering, or signal processing. Analytical, structured, and independent work habits are essential, as well as an interest in technical and scientific questions. Additionally, you should have experience with model building and system analysis, as well as knowledge of regulation and observer theory (foundations).

As a part-time student assistant, you will work approximately 20 hours per week during the semester. You will be integrated into our team and contribute to the development of innovative solutions. We offer a dynamic and supportive work environment, with opportunities for professional growth and development.

If you are a motivated and detail-oriented individual with a passion for technical work, we encourage you to apply for this exciting opportunity.

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You will track and interpret key economic indicators across regions, assess the implications of monetary and fiscal policy decisions, and evaluate how macro trends shape financial markets and risk conditions.

This role sits at the intersection of economics, markets, and strategic decision-making.

You will build forecasts and scenario analyses to understand how shifts in growth, inflation, interest rates, currencies, commodities, and geopolitics may affect asset prices and broader market regimes.

Your work will inform top-down investment views and risk assessments, supporting global macro strategies driven by economic fundamentals rather than individual company analysis.

The ideal candidate is intellectually curious, analytically rigorous, and comfortable working in a fast-moving, high-ownership environment.

Consistent with xAI's flat organisational structure, you are expected to be hands-on, proactive, and able to communicate ideas clearly and concisely to a highly technical and motivated team.

As a Macro Research Analyst, you will contribute directly to this mission by helping the organisation understand large-scale economic systems, feedback loops, and regime shifts that shape global outcomes.

You will structure, analyse, and interpret macroeconomic data across countries and regions, transforming noisy and often incomplete information into coherent economic narratives and testable hypotheses.

Your research will help identify causal relationships, constraints, and second-order effects within complex economic systems,insights that are essential for training, evaluating, and applying advanced AI models to real-world economic and financial questions.

By developing forecasts, scenarios, and risk assessments, you will support xAI's efforts to reason about uncertainty, stress-test assumptions, and evaluate how shocks propagate through global markets and institutions.

Clear communication of your findings will ensure that economic insights are effectively shared across teams, reinforcing xAI's emphasis on rigorous thinking, transparency, and collaborative problem-solving.

In this role, macroeconomic research is not an end in itself, but a tool for advancing deeper understanding.

Your work will help xAI build systems that reason more accurately about economic behaviour, policy trade-offs, and global dynamics,bringing us closer to AI that can meaningfully assist human decision-making at scale.

The Macro Research Analyst will have broad responsibility for analysing global macroeconomic conditions and their implications for financial markets and strategic decision-making.

The scope of the role spans data analysis, economic modelling, and synthesis of macroeconomic developments across multiple regions and asset classes.

The role includes management of ongoing monitoring frameworks for key economic indicators, policy developments, and geopolitical risks.

The analyst will be expected to independently identify emerging themes, develop forward-looking scenarios, and assess how macroeconomic shifts may alter market dynamics, risk exposures, and opportunity sets.

The position requires close collaboration with internal stakeholders, with an emphasis on clear, concise communication of complex economic concepts.

Given xAI's flat organisational structure, the analyst will operate with a high degree of autonomy and accountability, contributing directly to research outputs and strategic discussions rather than functioning in a narrow support capacity.

The scope of the role is intentionally flexible, allowing a high-performing analyst to expand their responsibilities over time by taking ownership of new research areas, developing novel analytical frameworks, and influencing how macroeconomic intelligence is integrated into xAI's broader mission.

Responsibilities:

Monitor and interpret data such as GDP growth, inflation, unemployment rates, interest rates, fiscal/monetary policy, currency movements, commodity prices, and geopolitical events across countries or regions.

Build economic forecasts, scenario analysis, and models to predict how macro forces will affect markets (e.g., how a central bank rate hike might impact equities, bonds, or currencies).

Provide research reports, trade ideas, and recommendations to portfolio managers, traders, or clients. This often informs 'global macro' investment strategies, where decisions are driven primarily by top-down economic views rather than individual company fundamentals.

Identify potential risks (e.g., recessions, currency crises, trade wars) and opportunities arising from economic shifts.

Basic Qualifications:

Strong academic background in economics, finance, mathematics, statistics, or a related quantitative field.

Demonstrated experience in macroeconomic research, global macro investing, economic policy analysis, or a closely related role.

Deep understanding of macroeconomic indicators and frameworks, including growth, inflation, labor markets, monetary and fiscal policy, exchange rates, commodities, and geopolitical dynamics.

Experience building and interpreting economic models, forecasts, and scenario analyses to assess market and policy outcomes.

Ability to synthesise large and complex data sets into clear, structured insights and actionable conclusions.

Strong written and verbal communication skills, with the ability to explain complex economic concepts concisely to both technical and non-technical audiences.

High level of intellectual curiosity and comfort working with uncertainty, incomplete information, and competing hypotheses.

Self-directed, detail-oriented, and capable of operating effectively in a flat organisational structure with minimal oversight.

Proven ability to prioritise effectively, manage multiple research streams, and deliver high-quality work under time constraints.

Preferred Skills and Experience:

3–7 years of experience post-doc.

At least three publications in reputable economics journals (AER, QRE, JPE, Econometrica, etc.) or outlets (The Economist, The Wall Street Journal, Financial Times, etc.).

Prior experience at a global macro hedge fund, asset manager, central bank, international financial institution, policy research organisation, or economic consulting firm.

Strong familiarity with financial markets across multiple asset classes, including rates, FX, equities, and commodities.

Experience producing investment-oriented research, including trade ideas, market commentary, or risk assessments tied to macroeconomic views.

Proficiency with data analysis and modelling tools such as Python, R, MATLAB, or similar quantitative environments.

Experience working with large economic and financial datasets and building repeatable research pipelines.

Ability to evaluate tail risks, regime shifts, and non-linear dynamics in macroeconomic systems.

Interest in applying macroeconomic reasoning to novel problems, including AI-driven applications.

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You'll work across the entire lifecycle of features from early prototypes to production-grade systems and help define how millions of users interact with AI.

Responsibilities

LLM Feature & Agent Development

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.

Evaluation, Hillclimbing & Quality Systems

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.

Analyse failure modes, design mitigations, and drive systematic improvements across the stack.

LLM Tooling & Internal Infrastructure

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.

Applied ML & Product Integration

Integrate LLMs with product surfaces, APIs, and backend systems.

Build lightweight ML components (ranking, classification, summarization, personalization) that enhance assistant intelligence.

Collaborate with PM, design, and research to turn ambiguous ideas into polished user experiences.

High-Velocity Teamwork

Operate with startup-founder energy: bias for action, rapid iteration, and comfort with ambiguity.

Work closely with researchers, engineers, and product leaders in a fast-moving AI team where ideas ship quickly and impact is immediate.

Contribute to a culture of experimentation, clarity, and high-quality execution.

Qualifications

Required/minimum qualifications

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.

Preferred Qualifications

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.

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Microsoft are looking for a talented Applied Scientist at their Redmond office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI technology. You'll work directly with leadership to shape the company's direction in the AI market.

About the Role

As an Applied Scientist in MAI, you would be responsible for data analysis, training and building models and shipping to production high quality experiences improving Bing products. This opportunity will allow you to accelerate your career growth, develop deep business acumen, hone your selling skills, and become adept at deal structuring.

Accountabilities

• Conduct in-depth market research across AI sectors, identifying emerging trends, competitive threats, and partnership opportunities that directly inform the company's quarterly strategic planning sessions
• Gain a basic understanding of a broad area of research and applicable research techniques

The Candidate we're looking for

Experience:

• Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research)

Technical skills:

• Data analysis
• Model building

Personal attributes:

• Strong problem-solving skills
• Excellent communication skills

Benefits

• Competitive salary
• Comprehensive benefits package
• Opportunities for career growth and development

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