Machine Learning Team Leader

Responsibilities

• Ensure the contractor team delivers high-quality ML scoring solutions, such as click and conversion predictions, for Sponsored Offers on schedule.
• Own the team’s technical output and project milestones.
• Manage the training scope for deep learning models, including feature-space definition and model-lifecycle standards.
• Orchestrate the transition of scoring responsibilities from existing teams in cooperation with backend and product stakeholders.
• Provide expert input to future ML roadmaps for Sponsored Offers.

Requirements

• 8+ years of experience in Machine Learning or Data Science roles in production environments.
• 2+ years of direct people management experience.
• Proven track record of leading end-to-end model-training initiatives for business use cases.
• Strong practical expertise across the full model lifecycle: data preparation, feature engineering, training, evaluation, calibration, and controlled rollout.
• Hands-on proficiency in Python and SQL, plus strong understanding of ML/deep-learning frameworks, such as PyTorch or TensorFlow, and scalable data-processing workflows.
• Experience operating ML workloads in cloud environments, preferably GCP, including Vertex AI, BigQuery, and Cloud Storage.
• Ability to drive cross-functional execution across ML, serving, and product domains, ensuring strategic alignment and performance visibility for Director-level stakeholders.
• Strong decision-making based on business-impact metrics, including revenue, GMV, and conversion, and experimentation results.

Nice to Have

• Experience in AdTech, marketplace ranking, or recommendation systems at scale.
• Familiarity with model-artifact repositories, CI/CD for ML, experiment-tracking frameworks, and feature-store integrations.
• Exposure to online inference environments and collaboration with platform teams maintaining these services.
• Experience developing pCTR/pCVR-like models.

What We Offer on This Project

• B2B contract with a rate of approximately 170–230 PLN/hour.
• Remote work, with one day per month in Warsaw.
• Events and integration meetings, including participation in initiatives such as sports activities.
• Access to benefits, including medical care and a Multisport card.

Recruitment Process

• Application: submit your CV.
• Application review: selected candidates will be contacted by phone.
• Screening: discuss your experience with a recruiter.
• Next steps: receive details of the recruitment process for the position.