Deep Learning Engineer

Job offer

Description

Deep Learning Engineer

At Sybilla Technologies, we leverage advanced machine learning and deep learning to transform raw space surveillance data into actionable intelligence. We're looking for a Deep Learning Engineer to help us build and optimize neural networks that power our space operations and satellite tracking systems.

The Role

As Deep Learning Engineer, you'll:

• Design and implement deep learning models for space surveillance and tracking applications

• Optimize models for performance, accuracy, and computational efficiency

• Work with large datasets to train and validate machine learning systems

• Collaborate with data scientists and software engineers to integrate models into production systems

• Develop data pipelines and preprocessing workflows

• Contribute to model evaluation, testing, and continuous improvement

• Stay current with deep learning research and emerging techniques

• Document code and models for maintainability and reproducibility

Your Background

You bring 3-5 years of deep learning and machine learning experience, with:

• Strong proficiency in Python and deep learning frameworks (TensorFlow, PyTorch)

• Experience designing and training neural networks

• Solid understanding of machine learning fundamentals and deep learning concepts

• Experience with computer vision or sequence modeling (NLP)

• Familiarity with model optimization and deployment considerations

• Strong problem-solving and analytical skills

• Ability to work with large datasets and distributed systems

Nice to have:

• Experience with space, satellite, or aerospace data

• Background in signal processing or image processing

• Knowledge of model serving and inference optimization

• Experience with cloud platforms (AWS, GCP, Azure)

• Contributions to open-source deep learning projects

• Understanding of computer vision applications

What We Offer

• Competitive salary (€45k - €65k based on experience)

• Fully flexible, remote-first role

• Opportunity to work on machine learning problems that matter for space safety and national security

• A technically-focused team that values innovation

• Access to state-of-the-art tools and infrastructure

• Professional development and learning opportunities

• Equity package in a high-growth venture

Location: Remote

Application:

Send your CV and a brief note on:

1. Describe a deep learning project you've worked on – what was the technical challenge and how did you address it?
2. Tell us about your approach to model optimization – how do you balance accuracy and computational efficiency?
3. Why you're interested in working on space and satellite problems?

Apply by sending your CV and motivation letter to: [email protected]