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ML Researcher
About On The Spot
About the team
You’ll be joining a performance-marketing team that operates as a strategic growth partner for global brands across 25+ industries.
They work at the intersection of data, engineering, and creative, using advanced analytics and tailored strategies to drive conversions.
The team runs full-funnel acquisition programs (search, paid social, emerging channels), continually optimising campaigns and building data-driven insights to allow their clients focus on product development and long-term growth.
About the role
We’re looking for an ML Researcher with expertise in feature engineering, model training, and evaluation to create scalable ML solutions.
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Responsibilities
- Develop, train, and evaluate ML models, with a focus on tabular, predictive, and ranking models
- Contribute to production-ready modeling pipelines, ensuring models are robust, scalable, and optimized for deployment
- Perform data wrangling, feature engineering, and dataset preparation for modeling at scale
- Translate hypotheses into measurable experiments and actionable insights
- Collaborate with cross-functional teams to integrate ML models into production systems
- Continuously monitor, optimize, and refine models for accuracy, efficiency, and business impact
Requirements
- Strong hands-on experience with tabular ML models (XGBoost, LightGBM, CatBoost, logistic regression, etc.)
- Proven experience with data wrangling, feature engineering, dataset preparation
- Experience training, tuning, and evaluating models at scale
- Solid understanding of model validation
- Strong Python skills and familiarity with ML libraries
- Ability to translate hypotheses into measurable experiments
- Experience working closely with data engineering pipelines
Nice to have
- Experience with inference engineering: packaging models, building inference endpoints, optimizing latency
- Exposure to model monitoring: drift, data quality checks, performance monitoring
- Experience with containerization (Docker) and serving frameworks (FastAPI, Flask, TorchServe, Bento, etc.)
- Experience deploying ML models in production environments
- Prior experience with ranking, scoring or optimization models
Benefits
- Work in a highly professional team with a friendly and informal atmosphere
- Paid vacation — 20 business days per year, 100% sick leave payment
- Equipment provision
- Partially compensated educational costs (for courses, certifications, professional events, etc.)
- Legal and Accounting support in Poland
- Ability to work from our comfortable office in Warsaw or Minsk
- 5 sick days per year
- Medical insurance (after the end of the probationary period)
- Flexible working hours — we care about you (!) and your output
- English and Polish classes 2 times a week (online)
- Bright and memorable corporate life: corporate parties, gifts to employees on significant dates
Join us
To be considered for this position in Poland, you must have Polish citizenship, a D-type work visa, or a residence permit. Thank you!
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