ML Engineer

Summary

Join Planday as a Machine Learning Engineer and play a key role in developing intelligent features for their scheduling platform. You will investigate challenges in scheduling, staffing, and compliance, prototype and test ML pipelines, deploy solutions using modern ML and LLMOps tooling, and collaborate with cross-functional teams. Success involves embedding Planday's values, communicating openly, building trust, demonstrating a growth mindset, delivering value, and working collaboratively. The ideal candidate possesses hands-on experience in applied machine learning, proficiency in Python and core ML frameworks, a strong grasp of statistics and ML techniques, and experience with LLMOps practices. Planday offers various benefits including pension, health insurance, parental support, generous vacation, an employee share plan, growth opportunities, flexible remote work, a strong social culture, and a focus on work-life balance.

Requirements

• Proven experience developing ML models in real-world scenarios
• Proficiency in Python and core ML frameworks
• Strong grasp of statistics and core ML techniques — both traditional and generative
• Experience with LLMOps practices such as prompt engineering, deployment, and lifecycle management of large language models
• Strong understanding of model evaluation methodologies and experience building robust evaluation solutions
• Familiarity with MLOps tooling for monitoring, automation, and reproducibility

Responsibilities

• Understand complex domains: Investigate challenges in scheduling, staffing, onboarding, and compliance
• Prototype and test: Build ML pipelines and run experiments to evaluate and refine model performance
• Deploy at scale: Bring your solutions to life in production using modern ML and LLMOps tooling
• Collaborate and co-create: Work closely with product managers, engineers, and designers to ship useful, intelligent features
• Contribute to team growth: Share learnings, contribute to best practices, and grow alongside a curious, motivated team
• Live Planday’s values: Embed our mission and values in your work, helping others stay connected to our vision
• Communicate openly: Share context, offer and request feedback, and keep stakeholders aligned
• Build trust: Earn credibility as a dependable teammate who brings insight, curiosity, and quality to every collaboration
• Growth & learning mindset: Continuously seek ways to improve yourself and your work. Stay up-to-date with ML advances, explore new techniques, and share your learnings with the team
• Deliver value: Focus on solving real customer problems with creative, practical ML solutions that ship
• Work collaboratively: Tackle challenges with empathy, exchange ideas freely, and support others through problem-solving and iteration

Preferred Qualifications

Experience with .NET (C#), Azure, or JavaScript/TypeScript

Benefits

• Benefits like pension, health insurance, inclusive support for new parents and generous vacation
• On top of your annual base salary, you are offered to be part of an Employee Share Plan
• Growth and progression opportunities – we want you to grow with us
• Flexible remote work
• Strong social culture with lots of team and company activities
• Meaningful work – everyone at Planday contributes to improving the lives of shift workers around the globe
• Healthy work-life balance and autonomous approach to work. We trust in you and your abilities