ML Engineer

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    "location": {
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      "state": "Slovakia",
      "postalCode": "81105",
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    "description": "<p><span style=\"font-weight: bold\"><span><span>About Piano</span></span><span> </span></span></p>\n<p><span><span>Piano helps the world's leading digital businesses grow revenue by understanding and influencing customer behavior. Our platform unifies analytics, audience segmentation, and commercial personalization in one AI-driven system, enabling media companies and digital services to maximize the value of every user interaction. Headquartered in Amsterdam with offices across the Americas, Europe, and Asia-Pacific, Piano serves hundreds of global brands including the BBC, Deutsche Telekom, Nikkei, and the Wall Street Journal.</span></span><span> </span></p>\n<p><span><span>At Piano, engineers and data scientists tackle complex technical challenges at scale, from globally distributed systems and real-time machine learning models to production LLM applications that are transforming how our customers work. We embrace a culture of innovation, collaboration, and craftsmanship where you'll solve meaningful problems that impact millions of users worldwide.</span></span><span> </span></p>\n<p><br><br></p>\n<p><span style=\"font-weight: bold\"><span><span>The Role</span></span><span> </span></span></p>\n<p><span><span>We're</span><span> looking for an ML Engineer to join our Data Science team and help </span><span>maintain</span><span>, extend, and evolve the machine learning models that power Piano's products for some of the world's biggest media brands. </span><span>You'll</span><span> work on real production systems serving hundreds of millions of users — primarily focused on keeping our existing ML solutions healthy and effective, with opportunities to contribute to new LLM-powered features along the way.</span></span><span> <br></span><span> <br></span><span><span>We're looking for someone who combines strong engineering instincts with genuine curiosity about data and how ML systems behave in the real world. </span><span>You're</span><span> comfortable navigating unfamiliar codebases, you ask sharp questions, and you find real satisfaction in shipping solutions that are reliable, maintainable, and make a meaningful difference for the people using them.</span></span><span> </span></p>\n<p><br></p>\n<p><span style=\"font-weight: bold\"><span><span>What<span> </span></span><span>Y</span><span>ou’ll</span><span><span> </span>Do</span></span></span><span> </span></p>\n<ul>\n<li><span><span>Maintain and improve existing ML pipelines, model training workflows, and inference services to keep them </span><span>stable </span><span>and performant</span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>I</span><span>nvestigate and resolve production issues when they arise — understanding the problem by analyzing logs, model inputs and outputs, </span><span>identifying</span><span> root causes, and shipping enhancements that continuously improve how our ML systems perform</span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>Contribute to new ML/AI features</span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>Collaborate with data scientists, </span><span>ML </span><span>engineers</span><span>, </span><span>product managers, and other teams across the company</span><span> </span><span>to deliver ML solutions that solve real customer problems</span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>Write clean, tested, well-documented Python code and uphold good engineering practices (Git workflows, code reviews, CI/CD)</span></span><span> </span></li>\n</ul>\n<p><span> </span></p>\n<p><span style=\"font-weight: bold\"><span><span>You Might Enjoy This Role If You</span></span></span><span> </span></p>\n<ul>\n<li><span><span>Are comfortable navigating unfamiliar codebases and quickly building a mental model of how systems work</span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>Have strong data intuition and enjoy hands-on exploratory data analysis to uncover patterns, anomalies, and insights in complex datasets</span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>Are curious </span></span><span><span>about data quality, evaluation, and how ML/AI systems behave in the real world</span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>Care about building ML systems that perform well and earn trust in production</span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>Are excited to grow into a strong applied ML engineer</span></span><span> </span></li>\n</ul>\n<p><span> </span></p>\n<p><span style=\"font-weight: bold\"><span><span>What We're Looking For</span></span></span><span> </span></p>\n<p><span style=\"font-weight: bold\"><span><span>Must-have</span></span></span><span> </span></p>\n<ul>\n<li><span><span>B.Sc. or M.Sc. in Computer Science, Mathematics, Statistics, Data Science, or a related field</span></span><span> </span></li>\n</ul>\n<ul>\n<li><span style=\"font-weight: bold\"><span><span>2+ years of professional experience</span></span></span><span><span> as an ML Engineer, Data Scientist, or in a similar applied ML role</span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>Deep understanding of core ML concepts</span><span> (algorithms, evaluation, model behavior)</span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>Strong Python skills and proven experience writing </span></span><span style=\"font-weight: bold\"><span><span>production-quality code</span></span></span><span><span> </span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>Experience with Git and modern collaborative development workflows </span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>Strong analytical and debugging skills with a structured approach to problem-solving</span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>Hands-on experience with</span><span> </span></span><span><span>c</span><span>oding agents such as Claude Code</span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>Clear communication in English</span></span><span> </span></li>\n</ul>\n<p><span> </span></p>\n<p><span style=\"font-weight: bold\"><span><span>Nice-to-have</span></span></span><span> </span></p>\n<ul>\n<li><span><span>Experience with LLMs (OpenAI, Anthropic, or similar APIs)</span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>Experience with Docker, Kubernetes, cloud platforms (AWS/GCP), CI/CD, and observability tooling (logging, metrics, monitoring)</span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>Experience with ML pipeline tooling (Airflow or similar) </span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>Experience with </span></span><span style=\"font-weight: bold\"><span><span>SQL</span></span></span><span><span> and working with large datasets</span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>Exposure to </span></span><span style=\"font-weight: bold\"><span><span>A/B testing</span></span></span><span><span> infrastructure for ML models</span></span><span> </span><br></li>\n</ul>\n<p><br></p>\n<p><span style=\"font-weight: bold\"><span><span>Why Piano</span></span></span><span> </span></p>\n<ul>\n<li><span><span>Your work will directly shape how leading global brands serve their audiences</span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>You'll have real influence over the solutions you build and the tools you use</span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>You'll collaborate with skilled peers across data science, ML engineering, and product</span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>You'll get broad exposure — from classical ML to cutting-edge LLM applications</span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>Generous token usage budgets with a focus on getting value from coding agents</span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>Flexible working hours, competitive compensation, and benefits</span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>Laptop of your choice (Windows/Mac)</span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>Modern office with dedicated seating</span></span><span> </span></li>\n</ul>\n<p><span> </span></p>\n<p><span><span>Applicants must have authorization to work in this jurisdiction without sponsorship from Piano.</span></span><span> </span></p>",
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