About the Job

We are a Swiss startup leveraging AI and advanced optimization algorithms to transform logistics. Our solutions help Fortune 500 companies reduce logistics costs by more than 20% while lowering CO₂ emissions through smarter packing and freight utilization.

We are seeking a Machine Learning Engineer to help us develop intelligent optimization solutions for complex, real-world logistics challenges.

What You’ll Do

As a Machine Learning Engineer,

You will:

- Design, implement, and train reinforcement learning and deep learning models for real-world optimization problems.
- Work with constraint-based problems and combinatorial optimization techniques.
- Translate research ideas and academic approaches into practical solutions.
- Work with large and complex datasets to identify patterns, develop models, and improve optimization outcomes.
- Collaborate with engineers and domain experts to integrate AI and optimization approaches into production systems.
- Write clean, maintainable Python code and contribute to testing, documentation, code reviews, and development workflows.
- Continuously evaluate and improve the performance, scalability, and reliability of AI-based solutions.

What We Need You to Have

- Education: A Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Robotics, or a related field.
- Python: Strong Python programming skills and experience building software beyond notebooks and prototypes.
- Machine Learning: A strong understanding of machine learning and deep learning concepts, with practical experience developing and training models.
- Reinforcement Learning: A solid understanding of reinforcement learning concepts,



with practical experience applying reinforcement learning to optimization problems.
- Optimization: Practical experience with combinatorial optimization, operations research, or mathematical programming.
- Production ML: Proven experience building, deploying, and maintaining machine learning models in production environments.
- Frameworks: Hands-on experience with PyTorch, TensorFlow, or similar ML frameworks.
- Problem-Solving: Strong analytical and problem-solving skills, with the ability to break down complex problems and develop practical solutions.
- Research: The ability to understand, implement, and adapt research-based approaches to practical problems.
- Version Control: Working knowledge of Git and modern version-control workflows.
- Strong written and verbal communication skills in English.

How You’ll Work

- Remote-first and results-driven: Primary working hours are CET-aligned to enable close collaboration with the team.
- Research meets production: You will have the opportunity to experiment with new approaches while also working on solutions deployed in real-world applications.
- Startup pace: Workload may vary by phase; we stay connected, communicate frequently, and solve problems together.

Bonus Points For

- Experience with logistics, supply chain, packing, routing, scheduling, or other operational problems.
- Experience with cloud platforms such as Azure or Google Cloud Platform.
- Experience with API development, integration, and working with production systems.
- Experience translating research ideas to implementation.
- Experience working with large-scale datasets or computationally intensive problems.

Job Type: Full-time

Pay: 27,359.99€ - 60,000.00€ per year

Work Location: Remote

📌 Machine Learning Engineer (España)
🏢 ALPHA Augmented Services
📍 España