Stellenbeschreibung:

Orbem is an impact-driven deep-tech scaleup from Munich, Germany. We develop fast, accurate, and accessible imaging solutions that provide access to otherwise unattainable sources of knowledge.

We seek to make a difference – and develop solutions to sustainably feed the world, accelerate the transition to a green economy, and transform disease detection.

Join us on our mission to unleash AI-powered imaging for everything and everyone.




Machine Learning Engineer (f/m/d)

Starting date: As soon as possible
Yearly Salary: €60,000 - €65,000 (fixed range, annual gross)
Equity: €10,000 - €30,000 in company shares
Benefits: Up to €5,000 annually
Work model: Full-time, Hybrid (Munich)




Your role

As a Machine Learning Engineer at Orbem, you will turn cutting-edge research into production-ready solutions that power our AI-driven MRI technology. You’ll work closely with data scientists to transform models into scalable systems, and with software engineers to integrate them seamlessly into production.

Beyond building models, you’ll design robust, automated pipelines that accelerate experimentation and deployment. With a focus on performance, reliability, and maintainability, you’ll optimize inference, monitor systems, and champion best practices. Your work will enable a fast, high-quality AI lifecycle and unlock Orbem’s mission to scale impactful, AI-powered imaging globally.




Your day-to-day

In your daily activities, you will:

• Build and improve code for training machine learning models, prioritizing modularity, scalability and robustness.
• Automate pipelines for data ingestion and model training
• Optimize and troubleshoot production machine learning code and models, focusing on latency and memory footprint.
• Deploy and monitor machine learning models in production, ensuring model stability and reliable inference.
• Collaborate with data scientists in training and fine-tuning machine learning models.
• Adopt new tools and best practices in the area of machine learning and data processing.



Your experiences and skills

Fit to our values

We own every challenge: we enjoy complexity and thrive under uncertainty.
We strive for better: we seize any opportunity for growth and challenge the status quo. We are constantly learning and improving.
We imagine new frontiers: we think beyond ‘doable’ and ‘reasonable.’ We design a sustainable and healthy future together.

Machine learning lifecycle

• You have solid knowledge of Pytorch and ML experiment tracking tools.
• You know how to build and optimize a model training pipeline.
• You are familiar with tools for machine learning in production and model deployment.

Software development

• You have strong Python coding skills: you write modular tested software and follow best practices in documentation and formatting.
• You are confident with version control tools like git.
• You have experience with Docker and other tools for reproducible environments.
• You have worked with CI/CD pipelines.



What makes you stand out from other candidates

Deployment and automation

• You are familiar with logging and monitoring tools like Prometheus and Grafana and use them to visualize relevant performance metrics in production.
• You have built and automated complex data pipelines.
• You have experience in optimization of inference speed for deep learning models.

We look for people to join us in our journey towards a culture focused on the following principles

System thinking

You are excited to work in a cross-functional team, learning the perspectives of multiple stakeholders and understanding the business value of all system components you work on

Quality Awareness

You understand the importance and champion best practices and testing to create good quality code

Impact

You are a builder who delivers best internal and external products through iterative development, regular feedback, and positive impact for the customers and the planet

Teamwork

You are enthusiastic about contributing to team projects and eager to learn, collaborate and share knowledge with team members through regular feedback, pull requests and pair-programming




What we offer

International Environment: Join a team with 40+ nationalities across 5 continents, all driven by a shared purpose: shedding light on the world’s toughest challenges.

Attractive Compensation Package:

• Stock Options: Share in Orbem’s success.
• Visa & Relocation Support: Seamless support for your move to Germany.
• Learning & Development: €1,750 annual budget for personal growth.
• Fitness Membership: Access to Urban Sports Club or Wellpass.
• Childcare Reimbursement: Support for Kita/Kindergarten fees.
• Deutschland Ticket: Full coverage of public transportation.

Work-Life Integration:

• Flexible Hours & Home Office: Work when and where it suits you.
• WFH Perks: Get €185 to upgrade your home office + a sleek external monitor on us!
• 30 Days Paid Leave: Plenty of time to recharge.
• Personal Leave: Flexibility for life’s important moments.
• Work from Anywhere: Experience new cultures and environments for up to 60 days per year.

Make a Difference: Join an ambitious, fast-growing team working on breakthrough technology. In our scale-up environment, you’ll have the freedom to lead your projects and make an impact. We provide a platform for you to explore, innovate, and define your vision for the future. At Orbem, we’re committed to helping you discover your strengths, and while we aim to teach you, we also want to learn from you.




Your team

As a Machine Learning Engineer you become part of our diverse and international AI & Data Science team. Learn more about the team members, their work and challenges here: https://orbem.ai/company/

At Orbem, we're committed to building a smart, diverse team, and we recognize that self-doubt can prevent talented individuals from applying. If you feel you don't meet every requirement, we'd love to hear from you anyway!

NOTE / HINWEIS:

EN: Please refer to Fuchsjobs for the source of your application

DE: Bitte erwähne Fuchsjobs, als Quelle Deiner Bewerbung