Machine Learning Engineer (all genders)

About the role

Build machine learning models that make it into production—not just notebooks. At botario, you'll develop the ML systems powering our AI Agents, taking ideas from initial experiments through training to reliable, scalable deployment. You'll work on cutting-edge AI use cases in a fast-moving environment where continuous learning and ownership are part of everyday work. Develop, train, and fine-tune deep learning models from early experimentation to production deployment.
Explore the latest open-source developments and research, evaluate new models and architectures, and turn promising ideas into practical solutions.
Build robust training and evaluation pipelines to measure and continuously improve model performance.
Deploy your own models into production, including efficient model serving, versioning, and monitoring.
Quickly familiarize yourself with new domains and apply machine learning to solve real business challenges.
Collaborate closely with engineers and cross-functional teams in an agile environment.
Solid experience in machine learning and hands-on expertise with PyTorch.
Experience training deep learning models as part of your daily work.
Curiosity to learn new domains—experience in speech or audio AI is not required; we'll help you build that expertise.
Confidence reading, reproducing, and extending research papers and open-source implementations.
Strong Python programming skills and the willingness to tackle unfamiliar technical challenges.
Ideally, experience deploying machine learning models into production environments.
A collaborative mindset and experience working in agile teams.
The opportunity to shape the future of AI-powered communication in an innovative company with a clear vision.
Flat hierarchies, short decision-making paths, and the freedom to contribute ideas and work with the latest technologies.
A modern office at Bremen's Europahafen with waterfront views.
Company fitness, BusinessBike, and access to our company boat.
Funding for the e-learning courses of your choice to support your professional development.
Regular knowledge sharing through internal meetups and participation in AI and technology events.
Exciting international customers across a wide range of industries.
A competitive salary and employee participation program.
30 days of annual leave and flexible part-time options.
High-end hardware, height-adjustable desks, and multi-monitor workstations.
A family-friendly culture that supports work-life integration and has been officially recognized as a family-friendly employer.