We're hiring
Wall Street has algorithmic traders. Energy markets don't — not yet. Solship is the AI that replaces the energy desk trader for battery storage: forecasting prices, optimizing dispatch, and executing trades across five markets in real time. We won't pretend this is easy. The problems are hard, the pace is relentless, and you'll regularly be outside your comfort zone. But if you're talented, tenacious, and want to find out how good you really are — this is the place.
The Problem
Energy prices shift every few minutes across dozens of overlapping markets — day-ahead, intraday, balancing, frequency regulation. A single battery must decide, in real time, whether to charge, discharge, or hold. The stakes are real money, and the risk is grid failure.
In finance, this kind of problem gets solved by quantitative traders — teams of PhDs building algorithmic systems that execute faster and smarter than any human. In energy, most battery operators still rely on fixed rules or spreadsheets.
Grids are becoming unstable. On April 28, 2025, with renewables at 78% of Spain's electricity, the entire Iberian grid collapsed in 90 seconds. 50 million people lost power for up to 16 hours. Batteries are the solution — but only if operated intelligently.
These aren't two separate problems. Revenue and stability are two sides of the same coin: the AI that maximizes battery profits is the same AI that keeps the grid from collapsing.
The Virtuous Cycle
What We Build
Solship connects to battery storage systems and takes over their trading. Our AI forecasts prices across different energy markets — arbitrage, frequency regulation, balancing — then runs millions of simulations to determine the optimal action: charge, discharge, or hold.
We don't advise. We execute. Our system trades autonomously, 24 hours a day, across multiple markets simultaneously.
Here's the bigger picture.
This doesn't just make battery owners richer. We make the entire renewable grid more stable, more predictable, and more economically compelling. We make sustainability the winning financial strategy — not the charitable one.
Why Now
The EU alone installed a record 27.1 GWh of new battery storage in 2025. Globally, over 315 GWh was deployed — a 51% jump. Every new installation needs an intelligent trading brain.
After Spain's grid collapsed, regulators are fast-tracking battery deployment and grid-stability requirements. The demand for intelligent dispatch is about to explode.
New ancillary services, cross-border trading, and real-time balancing mechanisms are being introduced every year. Complexity is where AI wins.
Traditional energy companies run on legacy SCADA systems and manual operations. They aren't built to ship ML models every week. We are.
Why You'd Come Here
Real-time, multi-market, stochastic optimization under uncertainty — with live financial consequences every several minutes. Quantitative finance meets control theory meets energy systems.
In finance, algorithmic systems replaced entire floors of human traders. In energy, that shift hasn't happened yet. You'll build the system that does it.
Small team. No place to hide. If you've always been the smartest in the room and found it frustrating, come build something where that matters.
Battery storage is growing 10× this decade. The AI layer that optimizes it doesn't exist yet. The equity you earn is equity in the company that defines how batteries think.
We make batteries so profitable that every investor and utility has no rational choice but to go renewable. Clean energy wins on economics.
Who Thrives Here
Credentials open the door. These qualities are what actually predict success here.
You don't copy solutions — you derive them. When faced with a problem you've never seen, you break it down from fundamentals and build up.
You set a high bar for yourself and then raise it. When something breaks, you don't wait to be asked — you're already in it. Tenacity isn't a word on your CV. It's the reason you've outworked everyone around you your entire life.
You don't walk into a room and ask "what do you think?" You walk in and say "here's what I think, and here's why." You'll fight for your ideas with data and logic, push back, and hold your ground until someone gives you a better argument. We don't want people who wait for direction. We want people who give it.
You don't say "that's not my job." If the model needs fixing, you fix it. If the pitch deck needs rewriting before a customer call tomorrow, you rewrite it tonight.
You say "I don't know" when you don't know. You change your mind when the data says you're wrong. You'd rather be right eventually than feel right now. We trust each other because we don't pretend.
Here's the simplest test: we want you if the founding team has to run to keep up with you — not the other way around.
Open Roles
We don't hire for seats. We hire for problems we can't solve alone.
How We Work
We'd rather deploy a good model on Monday than a perfect model next quarter. We iterate against live P&L, not backtests.
We don't believe in sustainability as charity. Our job is to prove it's the best business decision available.
Send us your best pitch — a resume, CV, video, whatever. Shoot your shot, get creative, and impress us in whatever way shows how good you are.
Get in Touchor reach us however you see fit — founder@solship.ai
Solship is hiring talented engineers and business professionals to build the AI that replaces human energy desk traders for battery storage optimization. Open roles include Founding ML Engineer and Founder Associate Intern positions in Sondrio and Milan, Italy. Solship operates at the intersection of quantitative finance, machine learning, and clean energy — maximizing BESS revenue through real-time algorithmic trading across arbitrage, frequency regulation, balancing, and ancillary energy markets.
Solship is building the algorithmic trading system for battery energy storage systems (BESS). Like Renaissance Technologies revolutionized financial markets with quantitative trading, Solship is bringing the same approach to energy markets. The company uses reinforcement learning, model predictive control (MPC), and stochastic optimization to maximize battery storage revenue across day-ahead, intraday, balancing, and frequency regulation markets. Careers at Solship offer founding equity, direct impact on clean energy transition, and work on some of the most challenging applied ML problems in the world.
Founding Machine Learning Engineer: Design and train forecasting models for energy price arbitrage, build real-time dispatch optimizers using reinforcement learning and MPC, deploy production ML systems for autonomous 24/7 energy trading. Founder Associate: Lead customer conversations with battery operators and energy utilities across Italy, build business plans and investor materials, represent Solship at industry events.
Solship values first-principles reasoning, tenacity, conviction, radical ownership, and intellectual honesty. The team ships fast, iterates against live P&L, and believes sustainability wins on economics — not charity. Battery storage optimization through AI energy trading makes clean energy the best financial decision.