Senior Machine Learning Engineer (RecSys)
At GRAI Inc. · Poland; Warsaw, Mazowieckie, Poland
- Data and ML
- Full-time
- Senior
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Where you’ll work
Hybrid, based in Warsaw
“Poland”
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“Warsaw, Mazowieckie, Poland”
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The job board lists it as hybrid.
Hybrid means some days in the office. The listing says how many, and where.
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- Posted
- 9 June 2026
- First seen by us
- 4 November 2026
- Last checked
- 7 hours ago
Job description
From GRAI Inc.’s job post, as they wrote it.
We are building an AI-powered music platform that’s transforming how people create, explore, and experience music. Our product leverages cutting-edge AI technologies to provide personalized music recommendations and unique features tailored to every music enthusiast.
As we continue to grow, we’re looking for a Senior Machine Learning Engineer to design, build, and scale recommendation systems that deliver highly relevant, personalized experiences to our users. You will work on large-scale user interaction data, develop retrieval and ranking models, and take them from experimentation to production.
Read the full description
What You’ll Do
* Design and implement retrieval and ranking architectures for personalized recommendations
* Work with large-scale user behavior and content data to extract meaningful signals
* Build end-to-end ML systems: data processing, feature engineering, training, evaluation, deployment, monitoring
* Run A/B tests and offline evaluations to measure model impact and guide improvements
* Collaborate with product and engineering teams to align recommendations with business goals
* Continuously monitor model performance
What We’re Looking For
* Strong hands-on experience building recommendation systems or ranking models
* Deep understanding of machine learning fundamentals and evaluation methodologies
* Experience working with large-scale data (SQL, Spark, or distributed data systems)
* Proficiency in Python and modern ML frameworks (PyTorch, TensorFlow)
* Understanding of core ML concepts: supervised/unsupervised learning, evaluation metrics, feature engineering
* Experience deploying ML models to production and maintaining them over time
* Ability to balance experimentation with production reliability
Nice to Have
* Experience with real-time recommendation systems
* Knowledge of search / information retrieval systems
* Familiarity with feature stores, model monitoring, and ML infrastructure
* Experience in media, music, or consumer-facing personalization products
Why Join Us
* Work on high-impact ML systems used by real users at scale
* Ownership over meaningful technical decisions, from modeling to production
* Collaborative, product-driven environment with strong engineering culture
* A supportive and dynamic startup culture where your ideas and contributions truly matter
* Opportunities for growth, learning, and shaping the future of our recommendation stack
Senior Machine Learning Engineer (RecSys)GRAI Inc.
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