AI/ML Engineer, Synthetic Data

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Cint

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2004

💼 Consulting

📣 Marketing

💰 Venture Round on 2016-01

Consulting • Marketing • Market Research

Cint is a leading global technology platform that provides a comprehensive marketplace for market research. The company operates the world's largest programmatic research marketplace, known as the Cint Exchange, which connects surveys with millions of respondents across 130 countries. Cint offers services such as media measurement and audience monetization, leveraging powerful technology to provide insights-driven companies with actionable data. With a focus on quality and trust, Cint uses advanced AI and machine learning tools to ensure the integrity and accuracy of the data collected. It serves a wide range of industries by offering tools for measuring the impact of advertising, conducting brand lift studies, and optimizing marketing strategies in real time. Cint is trusted by thousands of companies for its innovative approach to connecting businesses with the right survey participants efficiently and effectively.

📋 Description

• Build production augmentation and profile models: Design, train, evaluate, and deploy models against real survey data, owning the full path from experiment to production • Innovate on solutions: We aim to build the best simulation of survey responses in the industry. You'll design the experiments, baselines, and models to get us there • Use the latest technology: Build on the best open-weights LLMs with fine-tuning, build new ones from scratch with custom architectures or use third party models through an API; whatever gets us the best result • Partner with Data Science: Work with the data science team to ensure integrity of our statistical testing and experiment framework • Leverage AI tooling: Use Claude Code and agentic programming tools where appropriate

🎯 Requirements

• Strong knowledge of maths, probability, statistics and algorithms • Programming skills and be proficient in Python • Knowledge of Java is a plus • Knowledge of traditional machine learning tools and techniques (support vector machines, gradient boosting) • An understanding of LLMs and their architecture, ideally with experience in fine-tuning, e.g. LoRA, distillation • Familiarity in SQL, knowledge of Databricks is a plus • Outstanding problem-solving and analytical skills • You like to push the limits of your knowledge every day • You own your conclusions and are comfortable presenting them and shaping outcomes

🏖️ Benefits

• Office in Prague (Pankrác) but full remote possible • 25 days of vacation • unlimited sick days • Pension fund contribution • Edenred meal vouchers