ML Researcher

We bring startups and disruptive tech companies to the local market, offering engineers the opportunity to work on innovative, high-impact products. Join us and become a member of their R&D team while we take care of employment, HR support, a benefits package, and an enjoyable work environment.

We’re looking for ML Researcher to join the team at a performance-marketing agency that works across more than 25 industry verticals. They focus on using advanced data analytics and tailored creative strategies to drive conversions — the agency handles everything from lead generation and campaign optimisation (through search, social media and newer platforms) so their clients can focus on growth. 

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. Informal and friendly atmosphere in the team

• 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 downtown office in Warsaw

• 5 sick days per year

• Medical insurance (after the end of the probationary period)

• English and Polish classes 2 times a week (online)

• Bright and memorable corporate life: corporate parties, gifts to employees on significant dates