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All Positions/AI/ML Engineer
Research & EngineeringHybrid

AI/ML Engineer

Our Principal AI Scientist will develop the theory and design the experiments. You'll turn those ideas into reality by running experiments, managing data pipelines, building evaluation frameworks, and productionizing the discoveries.

You'll work with a unique AI architecture that nobody else has. Constraint evolution networks. Multi-agent reasoning. Binary computation. You'll get to experiment with approaches that most ML engineers never encounter.
Netherlands or Germany
Full-time
Remote Friendly

Ready to Apply?

Join our mission to advance AI

Competitive salary & equity
Work-life balance & flexibility
Make meaningful impact on AI
Applications reviewed weekly

Questions about this role?

Contact our team

Key Responsibilities

Design and run experiments on constraint evolution systems.
Manage datasets and data pipelines in Dweve Spindle.
Evaluate and benchmark model performance.
Build tools for model analysis and visualization.
Productionize research discoveries.
Collaborate with scientists and engineers.

Requirements

Strong background in machine learning and deep learning.
Experience with PyTorch or TensorFlow.
Fluent in English (Dutch is nice but optional).
Comfortable with Python, data processing, and experimentation.
Understanding of ML infrastructure and MLOps.
You care about making research work in production.

What We Offer

Work on AI unlike anything else in the field.
Bridge the gap between research and production.
Competitive salary with equity.
Access to unique compute infrastructure.
€5,000 annual conference and learning budget.
Hybrid work in Netherlands or Germany.

Ready to join?

This is a chance to bridge research and production. To see an idea go from whiteboard to paper to experiment to production system. To learn from brilliant scientists while building practical, working systems.

About Dweve

We're building the future of AI with binary neural networks that use 60-80% less energy than traditional models. Our European-first approach prioritizes privacy, transparency, and sustainable technology.

Join us in creating AI that actually serves people instead of exploiting them. Your work will have direct impact on making AI more accessible, efficient, and ethical.

Department

Research & Engineering

Location & Work Style

Netherlands or Germany
Hybrid & Remote Options
Flexible Hours

Application Process

1
Submit application
2
Initial screening call
3
Technical interview
4
Team fit conversation
5
Offer & onboarding

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AI/ML Engineer

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