ML Researcher (NXJ-72)

We are looking for a ML Researcher to design, train, and optimize tabular, predictive, and ranking models that directly impact performance and ROI. You will work end-to-end—from data exploration and feature engineering to validation and experimentation—bringing models into production in close collaboration with data engineering and ML teams. Your work will power real-time decisioning and optimization in an AI-driven performance marketing platform operating at scale.

Responsibilities

• Develop, train, and evaluate ML models, with a focus on tabular, predictive, and ranking models
• Work with data across the full funnel to support performance and optimization use cases
• Contribute directly to production-focused modeling, ensuring models are practical, scalable, and reliable in real-world use

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

Will be a plus

• 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

What we offer

• Competitive salary and benefits package
• Medical insurance
• Top equipment kit
• Full Remote
• Collaborative and innovative work environment
• Career growth and development opportunities
• A chance to work with a talented and driven team of professional

About the project

An AI-powered performance marketing company that manages and optimizes campaigns at scale across a broad range of verticals. The business is built around data-driven decision-making and automation, using a proprietary technology stack that connects with major advertising and tracking ecosystems to support real-time optimization and reliable measurement.

Their internal platform streamlines day-to-day operations for performance teams by providing centralized monitoring, fast feedback loops, and automated controls that reduce manual work. In-house machine learning supports smarter decisioning across core workflows—helping improve efficiency, maintain stable performance, and scale campaigns with consistency while staying focused on measurable business outcomes.