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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.
What You’ll Do
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.
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
- 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
- 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
- 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
Key Skills
Ranked by relevance
ai
machine learning
pytorch
python
spark
sql
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- Posted
- May 06, 2026
- Type
- Full-time
- Level
- Not Applicable
- Location
- Warsaw
- Company
- GRAI
Industries
IT System Custom Software Development
Categories
Engineering
Information Technology
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3 roles aligned with this opportunity
View Job Details
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2026-07-03
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View Job Details
Related
Junior Machine Learning Engineer
2026-07-07
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SME Engineer - Artificial Intelligence & Data Science (F/M/D)
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