Machine Learning Engineer, AI Systems (all genders)

Own the Engineering. Make the Scheduling Magic happen.

At Doodle, we're building the future of scheduling and productivity, tackling complex challenges at the intersection of human collaboration and digital efficiency. We believe in crafting elegant solutions to intricate problems, and we're looking for passionate Machine Learning Engineers who share this drive.

You're more than a model-builder; you're a problem-solver, an innovator, and a continuous learner who thrives on turning data into impact. You'll shape and optimize the intelligence behind our scheduling platform—designing, training, and deploying models that understand human behavior, adapt to complex constraints, and deliver seamless user experiences

We are Doodle

Doodle is the world’s leading scheduling platform, helping millions of people instantly set meetings with clients, colleagues, and teams. Tapping into the unique nature of smart scheduling, Doodle simplifies the planning of 1:1 and group meetings for busy professionals. As the world's most trusted online scheduling platform, Doodle attracts more than 25 million visitors each month. Doodle is headquartered in Zurich, with offices in Belgrade and Berlin and some colleagues working remotely from the US.

What You’ll Do

• Design, build, and deploy production-ready LLM-powered systems that support multi-step task automation, tool use, and context-aware reasoning within our product.
• Implement MLOps pipelines with best practices in mind, focusing on automation, monitoring, and continuous integration/continuous delivery (CI/CD).
• Contribute to our core backend services built with Java and Go, ensuring seamless integration of AI models.
• Ensure the performance and reliability of models over time by implementing robust monitoring solutions.
• Collaborate closely with Data Scientists and Principal Engineers to translate model prototypes and research into scalable, shippable products.
• Collaborate on our AI strategy and roadmap, identifying and implementing the best-suited neural network architectures—whether they are LLMs or other models—for a given task.
• Bridge the gap between model development and product delivery by embedding AI capabilities into real user workflows, ensuring the technical architecture supports meaningful product outcomes.
  
  

What You Bring

• You're a practical AI builder who thinks in terms of production-readiness and reliability.
• You're comfortable writing production code, reviewing PRs, and delivering a reliable, explainable, and production-ready product.
• You're excited about MLOps and have experience implementing MLOps best practices.
• You are proficient in Python and have strong experience with Java or Go.
• Experience with Kafka and deploying models in a production environment is a major plus.
• You're familiar with vector stores, agent orchestration, and the challenges of deploying LLM-powered features.
• You are not afraid to think outside the box and use the right neural network architecture for a given task, not just LLMs.
  
  

Why You’ll Love It Here

Compensation & Financial Well-being

• Competitive Pay – We pay fair for top talent.
• Pension Plan – Set yourself up for the future.
  
  

Flexible & Hybrid Culture

• Hybrid Work.
• 30 Vacation Days – Take the time you need to rest and recharge.
• Work-from-Anywhere – Go remote for up to 3 months in the EU and 1 month outside the EU.
  
  

Learning & Career Growth

• Training/Conference Days – Invest in yourself.
• Learning Stipend – We cover courses, certifications, and more.
  
  

Well-being & Home Office Setup

• Well-being & Home Office Budget – Use it for fitness, therapy, or your dream desk setup.
• Headspace Membership – Access guided meditation & mindfulness tools.
• Company Lunches & Team Events – Stay connected, even remotely.
  
  

Family & Inclusive Benefits

• Parental Leave & Support – Paid leave for all caregivers.
  
  

Extra Perks

• Doodle Premium – Free for you, your family, and friends.
• Top-Notch Equipment – MacBook, keyboard, trackpad—work at your best.
  
  

Hiring Journey

• Initial Application Review
• Personality & Strengths Assessment (via BRYQ)
• Home Assignment
• Technical Interview
• Meet the Team/Hiring Manager
• Culture Fit Conversation
• Final Offer & Next Steps
  
  

At Doodle, we’re committed to providing an environment of mutual trust and respect, where equal employment opportunities (EEO) are available to all applicants and teammates without regard to age, race, color, disability, religion, gender, and sexual orientation. Diversity and inclusion are of utmost importance to us. We’re committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our work and our products will be. We want to hear from you, so please don’t hesitate to apply!We look forward to receiving your full application.

IMPORTANT NOTICE: Please note that we can only consider your application if you are based and have the right to work in the specified countries. At this time, we are unable to sponsor visa for this position or support with relocation.