Senior ML Engineer - Infrastructure

At monday.com, we help teams get more work done. We are the best AI work platform that empowers teams to automate, build, and scale their impact end-to-end with tools that actually execute the work for you. With over $1B in ARR, 250,000+ customers, and a global team, we’re serious about building a product people love to use and giving our employees the same ownership and flexibility to shape the way the world works.

We care about the impact you make, not the hours you clock, so we encourage initiative, ownership, and fresh thinking. We back our people with flexible work, wellness and mental health support, and a work environment built on collaboration.

We’re looking for a Senior Machine Learning Infrastructure Engineer to design, build, and maintain the systems that keep our ML models production-grade, scalable, and cost-efficient. You’ll develop and optimize the infrastructure behind our AI products, from observability and CI/CD pipelines to disaster recovery, ensuring that every model we serve is reliable and performant in real time.

We fully embrace the AI revolution and equip you with AI-powered IDEs, customizable agent rules, prompt-engineering tools, and AI-infused CI/CD pipelines that boost both speed and reliability. You’ll also leverage AI-driven insights to make smarter operational decisions, faster.

The role is based in our Warsaw office - established in 2022, it is a growing hub for engineers who love solving impactful problems. Teams here work on a broad range of challenges that push the boundaries of our products and infrastructure.

• 5+ years of experience as an ML/AI Engineer, MLOps, Infrastructure Engineer, or DevOps with ML focus.
• Proven experience deploying and maintaining machine learning models in production at scale (i.e. experience with K8, sagemaker, nebius).
• Hands-on expertise in hosting, deploying, and managing the infrastructure of ML models, ensuring they are production-grade, scalable, and reliable.
• Strong knowledge of CI/CD pipelines, observability, testing, and rollback strategies.
• Hands-on expertise with cloud infrastructure (AWS preferred), GPUs, and containerized services.
• Experience with cost monitoring and optimization for large-scale ML systems.
• Comfort working with data scientists and ML engineers, translating research into robust services.
• Bonus: Experience with fine-tuning models, managing training data, and balancing performance vs. cost trade-offs.

What monday.com can offer you:

• Opportunity to join an innovative, proven company with big ambitions, competitive base salary, annual bonus and equity.
• From Monday to Wednesday, we'll fuel your day with free breakfast and lunch in the office.
• Comprehensive private medical care, life insurance, and a Multisport card to keep you active and healthy.
• We care of employee's mental health as well - you will get access to Calm Mindfulness App.
• Get awesome discounts on our partners' products and services.
• Regular team get-togethers and fun events, plus special gifts to mark your birthday and work anniversaries.
• Fully dedicated learning and development team that provides opportunities for employees to grow, gain new skills, master AI tools, and participate in workshops
• Award winning work environment - named a "Best Place to Work" by Built In as well as "Great Place To Work" certified.
• A team that values transparency and collaboration while having fun while we work.
• We foster diversity, inclusion, and belonging through our Employee Resource Groups in addition to providing access to resources and education to support our team, facilitate conversations, and encourage understanding.
• A global work environment with employees in New York, Tel Aviv, London, Sydney, São Paulo, Tokyo, and more.