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Job Description
ML/AI Engineer
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.
The Role
We're looking for an ML/AI Engineer who enjoys turning real-world data into useful product solutions. You'll work with our Data Science team to prototype, evaluate, and ship ML/AI features across Piano's platform: from LLM-powered content understanding to personalization and intelligent customer workflows.
What You’ll Do
- Build AI-powered features for tasks such as classification, summarization, content understanding, recommendations, and conversational interfaces.
- Collaborate with backend, frontend, product, and data science colleagues to integrate AI into existing products.
- Help build evaluation methods to measure whether our AI systems are useful, accurate, and reliable.
- Optimize LLM inference for cost, latency, and quality through context engineering, caching, model selection, and batching.
- Operate retrieval-augmented generation (RAG) pipelines and optimize retrieval quality.
- Deploy reliable services in Kubernetes with support from existing infrastructure, CI/CD, and monitoring practices.
Requirements
- M.Sc. in Computer Science, Mathematics, or a related field, or a proven track record of delivering complex ML/AI systems in production.
- 3+ years of software engineering experience, with meaningful time building production ML or AI systems.
- Fluency in Python and strong software engineering fundamentals.
- Hands-on experience with LLMs (OpenAI, Anthropic, or similar) and coding agents.
- Ability to communicate clearly in English and work with product and engineering teams.
Skills
PythonMachine LearningLLMsRAG pipelinesKubernetesData ScienceNLPCI/CD
Experience
mid-level
