Machine Learning Research Team Leader
📝 Twój zakres obowiązków
Your responsibilities, 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.
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.
What we offer, 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.
Benefits, sharing the costs of sports activities, private medical care, sharing the costs of foreign language classes, sharing the costs of professional training & courses, life insurance, flexible working time, integration events, no dress code, leisure zone, extra social benefits
additional-module
#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!
About the project
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.
📝 Opis główny / Wstęp
additional-module
#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!
About the project
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.
Your responsibilities
- 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.
#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!
🎁 Co oferujemy (Dodatkowe detale)
Benefits, sharing the costs of sports activities, private medical care, sharing the costs of foreign language classes, sharing the costs of professional training & courses, life insurance, flexible working time, integration events, no dress code, leisure zone, extra social benefits
additional-module
#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!
About the project
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.