Opis oferty:

As a Machine Learning Manager, you will lead a team delivering machine learning solutions that create tangible business value. You will connect technical execution with product strategy, ensuring the team’s work aligns with the product roadmap, KPIs and real user needs. Acting as a trusted partner to product stakeholders, you will balance delivery, risk management and budgeting while shaping the product domain and supporting broader organizational initiatives. This role combines people leadership, technical understanding and product thinking - with room to step into product responsibilities when needed.

Wymagania:

• Have a proven ability to lead and develop high-performing engineering teams, make tough prioritization decisions and provide constructive feedback that supports growth.
• Have a strong technical background in data science or data analysis.
• Are able to work closely with business stakeholders, translate technical work into business value and risk and drive work with a strong sense of purpose.
• Have experience in data analysis using SQL and building machine learning solutions in production environments, especially with end-to-end experience in designing ML models.
• Want to translate business challenges into ML problems.
• Program in Python and efficiently use basic development tools.
• Understand statistical and machine learning methods.
• Embrace modern tooling, specifically possessing practical and theoretical knowledge of Generative AI and Agentic AI principles (coding tools, prompting, validation).
• Graduated with a degree strongly related to statistical/mathematical modeling, such as Mathematics, Physics, Economics, Computer Science (or similar major) or job experience in data science / ML positions.

Dodatki i korzyści:

• Flexible working hours in the hybrid model (4/1) - working hours start between 7:00 a.m. and 10:00 a.m. We also have 30 days of occasional remote work.
• Long term discretionary incentive plan based on Allegro.eu shares (restricted stock units).
• Annual bonus based on your annual performance and company results.
• Well-located offices and excellent work tools.
• A wide selection of fringe benefits in a cafeteria plan.
• English classes paid for by the company.
• A training budget, inter-team tourism, hackathons, and an internal learning platform.
• An additional day off for volunteering.
• Social events for Allegro people.