3-MONTH AI+CRYPTO RESIDENCY FOR ENGINEERS WHO WANT EXTREME GROWTH

3-MONTH AI+CRYPTO RESIDENCY FOR ENGINEERS WHO WANT EXTREME GROWTH

About the training program

The Structure.fi Engineering Residency is a 3‑month, paid, full‑time, in‑office program for ambitious software engineers who want to go deep on AI + algorithmic trading. You’ll join our team in Paris and work on the same infrastructure, codebase, and problems as everyone else — no toy projects, no simulations. We design this phase like an elite sports camp: high intensity, constant feedback, ruthless focus on fundamentals and output. At the end of 3 months, we decide whether you join the core engineering team or walk away with a sharper toolkit and a much steeper career trajectory.

What you actually get

What you actually get

LIVE TRADING SYSTEMS

ELITE MENTORHSIP

ON-SITE TRAINING

TRADE SECRETS

Live trading systems

Elite Mentorship

On-site training

Trade secrets

Our operating principles

01

Intensity

We treat engineering like a competitive sport, not a cozy desk job. Sunday–Thursday in the office, with nights and weekends when the mission demands it. We move fast, break down problems, and expect you to keep up. If you want autopilot mode, this isn’t it.

02

Mastery

We care about fundamentals: systems design, performance, correctness, and clear thinking under pressure. You’ll get direct feedback on your code, architecture, and communication — constantly. The goal is to leave you unrecognizably better than when you arrived. Not just “more experienced,” but genuinely world‑class in the making.

03

Ownership

There are no spectators here. Everyone owns problems end‑to‑end: design, implementation, testing, and production. You’ll be trusted with real surface area and held accountable for outcomes, not tickets closed. We expect you to see around corners, flag risks, and drive decisions. “That’s not my job” doesn’t exist inside this team.

By the numbers

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Days in residency

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0k€
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Annualized pay

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1

Chances to earn a spot on the core team

65000€
65000€
65000€

Possible upside

Your 3-month progression

01

Learn the Arena

You ramp into our stack, tools, and trading context. You’ll read code, ship small but real changes, and learn how AI‑driven strategies flow from design to live execution. The goal of this phase is simple: prove you can learn fast, ask sharp questions, and handle real responsibility quickly — without being handheld.

02

Ship to Production

You move from small tasks to owning meaningful features or infra components. That might mean touching data pipelines, backtesting tools, risk checks, or monitoring. You’re expected to spec changes with teammates, implement them, write tests, and help get them into production. We start to see how you handle deadlines, uncertainty, and the tradeoff between speed and safety.

03

Own a System

You take responsibility for a specific slice of the platform — a service, a set of workflows, or a key tool. You’re now the first line of defense when something breaks and the person driving improvements in that area. We watch how you coordinate with others, manage complexity, and think a few steps ahead. This is where we see whether you think like a core team member, not just a contributor.

04

Prove You Belong

In the final stretch, you’re operating as close to a core engineer as possible. You’re expected to propose improvements, lead small projects, and help newer teammates or trialists. We’ll give you direct, unfiltered feedback about your trajectory and let you respond. At the end, we decide: core role with upside — or a clean, well‑paid, high‑learning exit.

01

Learn the Arena

You ramp into our stack, tools, and trading context. You’ll read code, ship small but real changes, and learn how AI‑driven strategies flow from design to live execution. The goal of this phase is simple: prove you can learn fast, ask sharp questions, and handle real responsibility quickly — without being handheld.

02

Ship to Production

You move from small tasks to owning meaningful features or infra components. That might mean touching data pipelines, backtesting tools, risk checks, or monitoring. You’re expected to spec changes with teammates, implement them, write tests, and help get them into production. We start to see how you handle deadlines, uncertainty, and the tradeoff between speed and safety.

03

Own a System

You take responsibility for a specific slice of the platform — a service, a set of workflows, or a key tool. You’re now the first line of defense when something breaks and the person driving improvements in that area. We watch how you coordinate with others, manage complexity, and think a few steps ahead. This is where we see whether you think like a core team member, not just a contributor.

04

Prove You Belong

In the final stretch, you’re operating as close to a core engineer as possible. You’re expected to propose improvements, lead small projects, and help newer teammates or trialists. We’ll give you direct, unfiltered feedback about your trajectory and let you respond. At the end, we decide: core role with upside — or a clean, well‑paid, high‑learning exit.

Who this program is built for

The Trading Systems Engineer

You think in services, queues, and failure modes. You care about latency, correctness, and how systems behave under load. You want to own core pieces of trading infrastructure — order flow, risk checks, monitoring — and see your code wired into real markets, not just sandbox demos.

The Trading Systems Engineer

You think in services, queues, and failure modes. You care about latency, correctness, and how systems behave under load. You want to own core pieces of trading infrastructure — order flow, risk checks, monitoring — and see your code wired into real markets, not just sandbox demos.

The Trading Systems Engineer

You think in services, queues, and failure modes. You care about latency, correctness, and how systems behave under load. You want to own core pieces of trading infrastructure — order flow, risk checks, monitoring — and see your code wired into real markets, not just sandbox demos.

The Relentless Rookie

You have real CS foundations — data structures, algorithms, OS, networks — but not much production time yet. What you do have is an absurd work ethic: nobody outworks you, you don’t quit, you take feedback personally and fix things fast. You want to be thrown in the deep end and earn your place by output, not by résumé.

The Relentless Rookie

You have real CS foundations — data structures, algorithms, OS, networks — but not much production time yet. What you do have is an absurd work ethic: nobody outworks you, you don’t quit, you take feedback personally and fix things fast. You want to be thrown in the deep end and earn your place by output, not by résumé.

The Relentless Rookie

You have real CS foundations — data structures, algorithms, OS, networks — but not much production time yet. What you do have is an absurd work ethic: nobody outworks you, you don’t quit, you take feedback personally and fix things fast. You want to be thrown in the deep end and earn your place by output, not by résumé.

The Full-Stack Operator

You care about the whole loop: user, product, infra, and outcome. You’re comfortable jumping between code, dashboards, and market data to figure out what’s actually happening. You want to ship features that users touch and that move real money.

The Full-Stack Operator

You care about the whole loop: user, product, infra, and outcome. You’re comfortable jumping between code, dashboards, and market data to figure out what’s actually happening. You want to ship features that users touch and that move real money.

The Full-Stack Operator

You care about the whole loop: user, product, infra, and outcome. You’re comfortable jumping between code, dashboards, and market data to figure out what’s actually happening. You want to ship features that users touch and that move real money.

The AI Strategy Builder

You’re excited about using AI to help design and iterate on strategies. You like building tools, wiring models into real workflows, and turning fuzzy ideas into reproducible systems. You want to sit at the intersection of code, data, and P&L.

The AI Strategy Builder

You’re excited about using AI to help design and iterate on strategies. You like building tools, wiring models into real workflows, and turning fuzzy ideas into reproducible systems. You want to sit at the intersection of code, data, and P&L.

The AI Strategy Builder

You’re excited about using AI to help design and iterate on strategies. You like building tools, wiring models into real workflows, and turning fuzzy ideas into reproducible systems. You want to sit at the intersection of code, data, and P&L.

Backers & Backgrounds

MIT

Jump Trading

Polychain Capital

Investors of Coinbase

Chicago Trading Company

Investors of Solana

KCG Holdings

Skills you will master

Core CS

Data structures, algorithms

Distributed systems

Messaging, partitions, failures

Concurrency

Threads, async, locks

Latency & throughput

Profiling, tuning, bottlenecks

Trading architecture

Orders, fills, risk limits

Backtesting

Simulation, P&L, slippage

Reliability

On-call, SLOs, incidents

Observability

Metrics, logs, traces

Execution habits

Deep work, hard deadlines

Ownership

End-to-end systems

Team practice

Reviews, feedback, pushback

Market reaction

Fast, informed decisions

Structure

Early Access

Careers

Documentation

Blog

Structure

Early Access

Careers

Documentation

Blog

Structure

/ Early Access

/ Careers

/ Documentation

Structure

Early Access

Careers

Documentation

Blog

Company

Careers

Privacy Policy

Terms Of Service

Product

Documentation

Social

Twitter

Structure

Company

Careers

Privacy Policy

Terms Of Service

Product

Documentation

Social

Twitter

Structure

Company

Careers

Privacy Policy

Terms Of Service

Product

Documentation

Social

Twitter

Structure

Are you willing to trade comfort for growth?

Let's have a conversation

Get in touch

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