Manager, Machine Learning

Job Description: As a Machine Learning Manager, you will lead a team of engineers dedicated to maximizing the business impact of Allegro Ads through sophisticated data and ML engineering. You will play a pivotal role in ensuring the stability and continuous evolution of the online data pipelines that power our advertising ecosystem. By overseeing feature engineering and the development of robust model-serving services, you will provide the essential engineering backbone for our ML models. This is the right job for you if you: • Have experience in leading and mentoring a team of engineers (MLEs/DEs), fostering their professional growth and high engagement. • Possess a broad technical background in the full software and ML lifecycle - from system design to deployment and production support. • Are experienced in efficient ETL/ELT pipeline design and ensuring data integrity and high availability. • Have a passion for bridging Data Engineering workflows with ML requirements, specifically regarding Feature Store integration and model serving infrastructure. • Can act as a key partner for Product Management, aligning technical roadmaps with business priorities. • Are skilled in managing technical debt while balancing the delivery of new features in high-scale environments. • Know English at B2 level or higher. In your daily work you will handle the following tasks: • Team Leadership: Managing a team of 6 engineers • Technical Delivery: Overseeing requirements engineering, code reviews, automated testing, and robust monitoring (SLA/SLO) for real-time advertising systems. • Data & ML Strategy: Taking ownership of the evolution of attribution logic and data processing efficiency. • Operational Excellence: Maintaining high SLA and low latency for online pipelines processing massive volumes of ad-related data (clicks/views) in real-time. • Stakeholder Management: Translating complex business needs into actionable technical backlogs and managing executive expectations. • Strategic Ownership: Managing infrastructure costs (GCP) effectively and addressing legacy components within the Ads Data/ML domain. What's in it for you: • 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 (with e.g. fully equipped kitchens, bicycle parking, terraces full of greenery) and excellent work tools (e.g., raised desks, ergonomic chairs, interactive conference rooms). • A 16" or 14" MacBook Pro or corresponding Dell with Windows (if you don't like Macs) and all the necessary accessories. • A wide selection of fringe benefits in a cafeteria plan - you choose what you like (e.g., medical, sports or lunch packages, insurance, purchase vouchers). • English classes that we pay for related to the specific nature of your job. • A training budget, inter-team tourism, hackathons, and an internal learning platform where you will find multiple trainings. • An additional day off for volunteering, which you can use alone, with a team, or with a larger group of people connected by a common goal. • Social events for Allegro people - Spin Kilometers, Family Day, Fat Thursday, Advent of Code, and many other occasions we enjoy. #goodtobehere means that: • You will join a team you can count on - we work with top-class specialists who have knowledge- and experience-sharing in their DNA. • You will love our level of autonomy in team organization, the space for continuous development, and the opportunity to try new things. • You get to choose which technology solves the problem and you are responsible for what you create. • You will value our Developer Experience and the full platform of tools and technologies that make creating software easier. • We rely on an internal ecosystem based on self-service and widely used tools such as Kubernetes, Docker, Consul, GitHub, and GitHub Actions. • Thanks to this, you can contribute to Allegro from your very first days on the job. • You will be equipped with modern AI tools to automate repetitive tasks, allowing you to focus on developing new services and refining existing ones (also leveraging AI support). • You will create solutions that will be used (and loved!) by your friends, family and millions of our customers. • You will meet the Allegro Scale, which starts with over 1000 microservices, an open-source data bus (Hermes) with 300K+ rps, a Service Mesh with 1M+ rps, tens of petabytes of data, and production-used machine learning. • You will become part of Allegro Tech - We speak at industry conferences, cooperate with tech communities, run our own blog (it's been over 10 years!), record podcasts, lead guilds, and we organize our own internal conference - the Allegro Tech Meeting. • We create solutions we love (and can) to talk about! Send us your CV and... see you at Allegro!