About On The SpotWe 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.About the roleAs a Head of AI Engineering, you will own the full AI lifecycle - from research to production - and leads the development of models that significantly impact funnel performance, ranking, bidding, and creative optimization. Translates business and product needs into actionable ML solutions.Responsibilities Lead the end-to-end AI roadmap — from problem definition and research to model development, deployment, and continuous iteration in production Architect and own scalable ML systems powering ranking, bidding, prediction, and creative optimization workflows Drive model performance improvements using rigorous experiment design, online/offline evaluation, and continuous monitoring Translate product and business goals into clear ML strategies, identifying where automation, prediction, or optimization can create measurable impact Collaborate cross-functionally with Product, Engineering, and Growth teams to define requirements, integrate models, and deliver features that directly affect funnel quality and ROI Establish high technical standards for model reliability, inference latency, data quality, and observability across the AI stack Mentor and guide ML engineers and researchers, fostering a culture of experimentation, ownership, and high-velocity delivery Design and implement scalable data pipelines for feature engineering, real-time inference, and model monitoring Oversee the deployment of new models ensuring reproducibility, versioning, CI/CD automation, and robust validation Partner with leadership to define long-term AI strategy and ensure AI investments align with product vision and revenue goals Requirements 5+ years experience in applied ML, including hands on model development and deployment Deep understanding of the full ML lifecycle: data prep → feature engineering → training → evaluation → deployment → monitoring Proven experience building and owning ML systems in production, not only research prototypes Strong product intuition - ability to translate business problems into ML formulations Experience working with tabular data, predictive models, and optimization systems Strong engineering capabilities (Python, SQL, distributed systems concepts) Experience leading ML projects end to end in a fast moving environment

Strong communication skills - ability to work with Product, Engineering, and Business teams

Nice to Have Prior experience managing or mentoring ML researchers/engineers Experience with ranking, recommendation systems, or decision optimization Experience building inference microservices and ML infrastructure Familiarity with experiment design (A/B, bandits, uplift modeling)

Background in AdTech, marketplace optimization, or bidding systems

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 office in Warsaw at Prosta 51 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