We are looking for a Senior Machine Learning Engineer to join our Chat Group, where we’re building the next generation of intelligent conversational systems for the recruiting industry.

Our mission is bold yet simple: boost the efficiency of recruiting and hiring teams and deliver the most personalized experience ever - powered by cutting-edge ML, NLP, and agentic AI.

You’ll play a central role in designing and developing agentic workflows, where autonomous AI agents collaborate, reason, and act to deliver intelligent and context-aware recruiting experiences at scale.

At SmartRecruiters, you’ll be part of a global, high-impact team shaping how people connect with jobs.
You’ll work with passionate peers across Germany, Poland, the UK, and the US - in a culture that values autonomy, innovation, and measurable outcomes.

We’re not just building chat systems - we’re building the AI recruiting assistants of the future.

What You’ll Do

Architect and build agentic workflows that combine large language models, reasoning components, and data pipelines to create adaptive, goal-driven conversational systems
Lead the design and development of advanced ML/NLP products, from ideation to production - including model training, evaluation, optimization, and deployment
Drive experimentation with new approaches for agentic reasoning, coordination, and autonomous system design
Collaborate closely with product and engineering teams to integrate intelligent agents into real-world recruiting workflows
Guide technical decisions, mentor other engineers, and help define best practices for scalable, maintainable ML systems
Contribute to the evolution of our NLP and conversational intelligence stack, focusing on reliability, personalization, and user impact
Proactively identify opportunities to automate, improve, and innovate within our chat-based ecosystem

Qualifications

BSc or MSc in Computer Science, Machine Learning, NLP, or a related technical field - or equivalent practical experience
5+ years of experience developing and deploying machine learning systems in production
Proven expertise in NLP techniques, LLM fine-tuning, and model evaluation
Strong proficiency with deep learning frameworks (e.g., PyTorch, TensorFlow) and ML tools (e.g., scikit-learn, Hugging Face)
Advanced Python programming skills and solid software engineering fundamentals
Experience designing and maintaining end-to-end ML pipelines, from data ingestion to deployment
Hands-on experience with agentic workflows or building autonomous AI systems is a major plus
Familiarity with chatbots, conversational AI, or multi-agent systems is strongly preferred
Experience with data quality management, evaluation metrics, or observability in ML systems is a plus
Strong analytical thinking, creativity, and an ownership mindset
Excellent communication and collaboration skills in a cross-functional, international environment
Fluency in English, both written and spoken

Additional Information

SmartRecruiters is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.