ML/AI Engineer

Náplň práce, právomoci a zodpovednosti:

About Piano

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 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.

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 and agent applications that are becoming the foundation of new Piano products. We embrace a culture of innovation, collaboration, and craftsmanship where you'll solve meaningful problems that impact millions of users worldwide.

The Role

We're looking for an ML/AI Engineer who enjoys turning real-world data into useful product solutions. You'll join our Data Science team and work across the full lifecycle: prototyping, evaluating, shipping, and operating ML and AI features across Piano's platform. This is not a single-product role. You'll move between LLM-powered content understanding, personalization and targeting, intelligent customer workflows, and the agent systems underpinning a new generation of Piano products.

You'll help build agentic products that reason over Piano's analytics, audience, and subscription data and take real actions on behalf of our customers. You'll develop new ML and AI capabilities, from LLM-based classification to classical ML models for personalization. And you'll help keep our existing production ML solutions healthy — models that serve hundreds of millions of users and are essential for our customers' businesses.

Beyond the technical scope, we're hiring for how you think. The engineers who will do their best work here are the ones who care about feeding AI systems the right information, validating what those systems produce, and optimizing for quality, cost, and latency.

What You'll Do

• Design and build agent systems that power new Piano products — tool calling, multi-step orchestration, memory and context management, and the integrations that let agents act safely on customer data

• Build guardrails and human-in-the-loop patterns so agents can take real actions on customer accounts

• Maintain and improve existing ML pipelines, model training workflows, and inference services to keep them stable and performant

• Build and improve classical ML models behind personalization and targeting

• Investigate and resolve production issues when they arise — understanding the problem by analyzing logs, model inputs and outputs, identifying root causes, and shipping enhancements that continuously improve how our ML systems perform

• Collaborate with data scientists, ML/AI engineers, product managers, and other teams across the company to deliver ML/AI solutions that solve real customer problems

• Deliver clean, tested, well-documented Python code and uphold good engineering practices (Git workflows, code reviews, CI/CD)

You might enjoy this role if you

• Are curious about how AI can solve real product problems, not just how to use the newest model

• Like exploring data and turning it into something useful

• Are comfortable navigating unfamiliar codebases and quickly building a mental model of how systems work

• Care about building ML and AI systems that perform well and earn trust in production

• Have strong data intuition and enjoy hands-on exploratory data analysis to uncover patterns, anomalies, and insights in complex datasets

• Move fluidly between LLM-based development and classical machine learning, and enjoy having both in the same week

• Want to work across agentic AI, classical ML, and data-driven product development

What We're Looking For

Must-have

• M.Sc. in Computer Science, Mathematics, Statistics, Data Science, or a related field

• 3+ years of professional experience as an ML Engineer, AI Engineer, Data Scientist, or in a similar applied ML role with meaningful time building production ML or AI systems

• Fluency in Python and strong software engineering fundamentals, including Git and modern collaborative development workflows

• Solid understanding of core ML concepts — algorithms, evaluation, and model behavior — and the judgement to know when a classical model beats an LLM

• Experience with Docker, Kubernetes, cloud platforms (AWS/GCP), CI/CD, and observability tooling (logging, metrics, monitoring)

• Hands-on experience building with LLM APIs (OpenAI, Anthropic, or similar), including prompt and context engineering, structured outputs, and tool/function calling

• Hands-on experience with coding agents such as Claude Code

• Strong analytical and debugging skills, with a structured approach to problem-solving in unfamiliar systems

• Ability to communicate clearly in English and work with product and engineering teams

Nice-to-have

• Experience with agentic AI frameworks, orchestration, and tool-use patterns (Claude Agents SDK, Pydantic AI, or similar)

• Experience with MCP — writing servers, or wiring agents to internal tools and data sources

• Experience with LLM observability and evaluation tooling — we use Langfuse, but experience with LangSmith, Braintrust, or similar is fine

• Experience with optimizing LLM inference for cost, latency, and quality through context engineering, model selection, caching, and batching

• Experience with ML pipeline tooling (Airflow or similar)

• Exposure to A/B testing infrastructure for ML and AI features
  Applicants must have authorization to work in this jurisdiction without sponsorship from Piano.

Zamestnanecké výhody, benefity:

Why Piano

• You'll work in a cross-functional team infusing Piano products with AI and ML, with direct impact on how notable global media brands serve hundreds of millions of users

• You'll build agent systems that ship into Piano products

• You'll get unusual breadth: production ML at scale, new AI feature development, and greenfield agentic products, in one role

• You'll have real influence over the tech stack and the freedom to choose your tools

• You'll collaborate with highly skilled peers across data science, ML engineering, and product, in a company that moves fast and values craftsmanship

• Generous token usage budgets with a focus on getting value from coding agents

• Flexible working hours, competitive compensation, and benefits

• Laptop of your choice

• Modern office with dedicated seating

• Hybrid work setup

Informácie o výberovom konaní:
Please apply via this application form: https://piano.bamboohr.com/careers/754?source=aWQ9Nw%3D%3D