Senior Machine Learning Engineer - Energy Optimization

Location

Kalmar, Sweden

Salary

Competitive

We're not looking for engineers who want a job. We're looking for engineers who want to rewire how humanity uses energy.

Senior Machine Learning Engineer - Energy Optimization
Senior Machine Learning Engineer - Energy Optimization

The Mission

Sourceful is creating the Home Energy Layer – the universal substrate that connects every solar panel, battery, EV and meter, turning households into sovereign energy nodes. This isn't another optimization app or hardware play. This is infrastructure. The missing link between millions of distributed homes and a sustainable grid.

The energy transition won't be solved by utilities with legacy systems. It will be built bottom-up, from the edge. And we're building the coordination layer that makes it possible.

If you get excited about sub-second optimization algorithms, if you dream about time series prediction at scale, if you believe distributed systems will eat the world – we need to talk.

The Problem You'll Own

Every home with solar panels, batteries, and EVs is a complex optimization problem. Multiply that by millions. Add real-time grid signals, weather patterns, pricing volatility, and user behavior. Now coordinate it all in sub-seconds. That's your playground.

What You'll Build

  • Predictive Models at Scale: Time series forecasting for energy consumption, production, and pricing across thousands of households

  • Real-time Optimization Engines: Algorithms that decide in milliseconds whether to charge the battery, sell to grid, or power the home

  • Self-Learning Systems: Models that adapt to individual household patterns while improving global coordination

  • Edge Intelligence: Lightweight ML that runs on home devices, coordinating with cloud intelligence

  • Market Dynamics: Prediction models for energy markets, grid demand, and flexibility trading

You Are

  • ML/AI Expert: 5+ years shipping production ML systems, preferably in time series, optimization, or control systems

  • Energy Domain Knowledge: You understand load profiles, demand response, grid dynamics – or you're obsessed enough to learn fast

  • Systems Thinker: You see the forest and the trees – understanding both individual optimization and emergent system behavior

  • Full-Stack ML: From research papers to production pipelines, you own the entire lifecycle

  • Python Native: NumPy, PyTorch/TensorFlow, scikit-learn are your second language

  • Infrastructure Savvy: You've deployed models at scale, dealt with drift, versioning, and monitoring

Bonus Points

  • Experience with reinforcement learning or multi-agent systems

  • Knowledge of power systems, smart grid protocols, or home automation

  • Published research or open-source contributions in relevant domains

  • Experience with edge computing or embedded systems

Non-Negotiables

  • On-Site in Kalmar: This is not remote. Magic happens when brilliant minds collide in person. Our office at Manilla HQ isn't just a workspace – it's where breakthroughs happen over ping pong and problems get solved on whiteboards

  • Senior Level: We need builders who can architect systems, not just implement specs. You should be comfortable leading technical decisions

  • Mission-Driven: The paycheck is good, but that's not why you're here. You believe distributed energy is the future and you want to build it

  • Startup Mindset: We're a startup. Sometimes you'll need to build a quick prototype, debug production at midnight, or help with customer demos. You thrive in this environment

What We Offer

  • Impact: Your code will directly accelerate the renewable energy transition

  • Ownership: Real equity in a company building a new category

  • Team: Work with ex-founders, energy experts, and world-class engineers

  • Growth: We're scaling fast. Early engineers become technical leaders

  • Resources: MacBook Pro, whatever tools you need, conference budget

  • Culture: Direct communication, high trust, rapid iteration. No politics, just building

  • Compensation: Competitive salary + meaningful equity. We pay for excellence

How to Apply

We don't care about your CV format or cover letter templates. We care about what you can build.

Send us:

  1. Your Story: Why energy? Why now? Why Sourceful? (Keep it real, not corporate)

  2. Your Proof: GitHub, papers, products you've shipped – show us your best work

  3. Your Solution: Pick one:

    • How would you predict home energy consumption 24 hours ahead?

    • How would you architect ML pipelines for 100,000 connected homes?

    • What's the biggest challenge in distributed energy optimization?

Email: careers@sourceful-labs.com
Subject: ML Engineer + Your Name

The energy industry is decades behind in software. Most "smart" energy companies are building toys. We're building critical infrastructure for the next century.

If you're a world-class engineer who wants to work on problems that matter, with a team that operates at the highest level, in a city where you can actually afford to live well – let's talk.

The future of energy is distributed, intelligent, and user-controlled.
We're building it. Join us.