Job description
(Hybrid in Berlin or remote in Germany/ Full-time/ Unlimited contract)
Conductor is a leading Website Optimization & Intelligence platform. Today’s top brands use Conductor to create and optimize digital experiences that get found organically in search engines and drive value for customers. The platform provides actionable SEO, content, and technical website intelligence—paired with real-time website monitoring—to help customers accelerate and protect digital growth.
We are a mission-driven company committed to innovation, customer success, and culture. At Conductor, success means improving the lives of everyone in our orbit: our customers, their customers, our employee-owners, and our communities.
About the Role
We are seeking a skilled and experienced Senior Machine Learning Engineer to join our team. Reporting to the Engineering Director, the successful candidate will take on a pivotal role in designing, developing, and implementing innovative solutions to our customers’ problems, while adhering to the standards and principles of our R&D department. The Senior ML Engineer will work closely with data engineers, product managers, application developers, UI/UX designers, and other stakeholders to create scalable, high-performance, reliable, and secure SaaS applications. The ideal candidate is passionate about solving problems, influencing strategic thinking, and mentoring others within the team.
Reporting to the Engineering Director, this engineer’s key responsibilities are:
- Design and implement end-to-end AI systems and ML pipelines, creating a scalable framework that powers iterative R&D workflows.
- Orchestrate multi-model decision workflows and implement efficient agent handoff systems that optimize for both performance and user experience.
- Design human-in-the-loop interactions allowing AI agents to collaborate effectively with content marketers, incorporate feedback, and refine workflows autonomously.
- Optimize AI models for efficiency, interpretability, and real-world performance in enterprise environments.
- Define AI evaluation frameworks and metrics to ensure continuous improvement of models and systems.
- Collaborate with cross-functional teams to unlock insights, innovation, and intelligence in our applications.
- Stay current with state-of-the-art techniques in AI/ML and apply this knowledge to our architectures.
- Mentor other engineers and foster a culture of knowledge sharing and collaboration.
- Understand challenges in the SEO space and solve problems, not just deliver features.
Who you are:
5+ years of experience in software development, with at least 3 years in building scalable and secure SaaS application platforms and systems for intelligent applications.
Deep knowledge of modern technologies including:
- LLM architectures (GPT-4, Claude, Gemini)
- Retrieval-augmented generation (RAG) and vector database (Milvus) optimizations
- Multi-agent AI architectures and agentic frameworks
Experience with model evaluation, including designing self-assessment prompts and implementing performance dashboards using relevant metrics (confidence and perplexity scores, win-rate comparisons between model versions, etc.).
Proficiency with traditional ML technologies (PyTorch, TensorFlow, AWS SageMaker, MLflow) and strong Python coding skills.
Experience with cloud technologies, particularly in data processing and distributed systems. Knowledge of AWS technologies is a plus.
Excellent communication skills, with the ability to translate complex technical concepts for both technical and non-technical stakeholders.
Solution-oriented approach using rapid prototyping, experimentation, and iterative development.
Self-directed, proactive, and comfortable working across organizational stacks, taking ownership of end-to-end problem-solving in a fast-paced environment.
Your Benefits:
- Friendly, open-minded and helpful colleagues
- Access to learning platforms such as LinkedIn Learning
- Team and company events
- Urban Sports (M) or Fitness First membership
- 28 days vacation at the start, 30 days after two years
- Company pension allowance
Interested? Then we look forward to receiving your application via the application link on our careers page. After receiving your application, you will immediately receive a confirmation e-mail from us. If you do not receive it, please check your spam folder and redirect the mails from our mail address to your inbox.
