ML/AI Engineer

Role overview

• check_circle Build AI-powered features for tasks such as classification, summarization, content understanding, recommendations, and conversational interfaces across Piano’s product suite.
• check_circle Collaborate with backend, frontend, product, and data science colleagues to integrate AI into existing products.
• check_circle Help improve targeting and personalization logic by combining data science, machine learning, and product knowledge.
• check_circle Help build evaluation methods so we can measure whether our AI systems are useful, accurate, and reliable.
• check_circle Optimize LLM inference for cost, latency, and quality through context engineering, caching, model selection, and batching.
• check_circle Operate retrieval-augmented generation (RAG) pipelines and optimize retrieval quality through experimentation with embeddings, chunking strategies, and ranking algorithms.
• check_circle Deploy reliable and operate services in Kubernetes with support from existing infrastructure, CI/CD, monitoring, and platform practices.
• check_circle Are curious about how AI can solve real product problems, not just how to use the newest model.
• check_circle Like exploring data and turning it into something useful.
• check_circle Enjoy both experimentation and engineering.
• check_circle Care about evaluation, quality, and whether users can trust the system.
• check_circle Want to work across LLMs, classical ML, and data-driven product development.
• check_circle Are excited to grow into a strong applied ML/AI engineer.
• check_circle M.Sc. in Computer Science, Mathematics, or a related field or alternatively, a proven track record of delivering complex ML/AI systems in production.
• check_circle 3+ years of software engineering experience, with meaningful time building production ML or AI systems.
• check_circle Fluency in Python and strong software engineering fundamentals.
• check_circle Curiosity about data quality, evaluation, and how ML/AI systems behave in the real world.
• check_circle Hands-on experience with LLMs (OpenAI, Anthropic, or similar) and coding agents such as Claude Code.
• check_circle Ability to communicate clearly in English and work with product and engineering teams.

Preferred qualifications

• Experience with agentic AI frameworks and tool-use patterns.
• Docker, Kubernetes, CI/CD and observability experience.
• Familiarity with vector databases, embedding models, search/retrieval systems, and applied NLP.
• Experience with ML pipeline tooling (Airflow or similar) and model monitoring in production.
• Experience with modern frontend frameworks like React.
• 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 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 (Windows/Mac)
• Modern office with dedicated seating
• Phone plan
• Life insurances
• august 2026

About the company