Machine Learning Engineer
- Published on
About the Role
Join us at the cutting edge of Conversational AI. Station is building enterprise-scale AI systems that power real-time, multilingual conversations between brands and customers. If you're passionate about LLMs, production-grade ML systems, and creating tangible product impact—this is the role for you.
Job Responsibilities
- Design and scale AI systems that are production-ready, resilient, and built for enterprise use.
- Build and optimize real-time LLM inference pipelines for high-volume, low-latency environments.
- Own full-stack ML responsibilities, from training to deployment, monitoring, and optimization.
- Develop intelligent search systems using vector databases and embedding pipelines.
- Drive multilingual AI capabilities for a global customer base.
- Collaborate with teams to bring cutting-edge AI capabilities into live product experiences.
- Leverage modern infrastructure, from PyTorch and Weaviate to Gemini and cloud-native ML stacks.
About the Candidate
Ideal candidates should have an advanced degree (Master’s or PhD) in Computer Science, Machine Learning, Mathematics, or a related field. You must possess 3–5 years of hands-on experience delivering ML/AI systems into production, deep knowledge of LLMs, RAG, and evaluation methodologies. Strong skills in Python, as well as familiarity with ML frameworks like PyTorch or PyTorch Lightning, are essential. Experience with AWS, GCP, or Azure cloud-based ML tooling is also required. Strong debugging skills for diagnosing model drift and performance issues will be beneficial.
Company Culture and Benefits
Station fosters a culture that values innovation, collaboration, and celebrating both small and big wins. Work on real-world AI challenges that impact thousands of global users and use cutting-edge tools like Weaviate, Gemini, and PyTorch. Enjoy competitive compensation, virtual stock options (VSOP), and work within a vibrant office in central Berlin. Thrive in a startup environment characterized by flexibility, autonomy, and purpose.