Capitole
Machine Learning Engineer
Buscamos un/a Data Scientist / ML Engineer con sólida experiencia en IA tradicional para incorporarse a un equipo de datos en expansión.
Spain
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Descripción de la vacante
Adikteev
€130,000 - €150,000 a year
Spain, Barcelona
Machine Learning Team Lead en Barcelona, España is listed on Jobeax. Browse 80,000+ vacancies available.
Competitive Salary between 130,000€ and 150,000€ OTE
We are committed to transparent compensation practices. The salary range shown reflects total On-Target Earnings (OTE), including base salary and a performance-based Quarterly bonus with transparent KPIs. Final compensation will be tailored to each candidate's background, experience, skills, and overall fit for the role.
Competitive Salary;
Performance-based Quarterly bonus with transparent KPIs;
Longevity bonus every 2 years;
4 1/2 days work week (Fridays afternoon off);
Mental Health support;
Flexible remote working policy;
Regular team-life event / activity;
Inclusive parental leave Policy.
*Most benefits are available to all employees. For remote team members based outside of France, benefits will be aligned with local laws and practices in your country of residence, ensuring support that's both relevant and compliant wherever you are.
★ OUR PROCESS
What to expect as you move through our hiring process:
HR call with Maxime, Talent Acquisition Lead;
Tech fit interview with Gwenaelle, Staff Machine Learning Engineer, & Pedro, Senior Machine Learning Engineer
Team fit interview with Cédric, Chief Technical Officer
Final interview with Aldenis, VP of Engineering, & Loïc, Chief Product Officer
If you require accommodations at any stage of the application process, please let us know. It will be handled confidentially by our HR and recruitment team.
★ OUR COMMITMENT
We're proud that our team already spans 22+ nationalities, diverse talent and unique backgrounds, and we want it to grow even more. If this role appeals to you, we welcome your application, even if you don't meet every single qualification. Not everyone gets through our hiring process, but your skills might be a great fit for another opportunity; now or in the future.
Adikteev is an equal opportunity employer. We are committed to building an inclusive environment for all employees, candidates, vendors and clients, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, age, national origin, disability, marital status, or military status.
Adikteev is an AdTech company that helps mobile app publishers grow their revenue through targeted advertising. We deliver personalized ads that drive users to install an app or re-engage with one they've stopped using.
Our clients are mostly mobile gaming leaders but also span e-commerce, on-demand services, and entertainment apps. Recognized for 10+ years as one of the top mobile retargeting platforms, Adikteev now operates globally from Paris, San Francisco, Barcelona and Seoul and has grown to over 120 employees.
Beyond the business, Adikteev is consistently recognized as a great place to work. With an 18-nationality team, a 4.5-day work week, and a strong focus on inclusion, Adikteev is a place where people genuinely stay.
You will be joining as Machine Learning Team Lead, leading our Machine Learning team. This team has full ownership of Adikteev's ML ecosystem, building and maintaining the systems that power the core of our business at massive scale. They operate with a strong product ownership mindset, working at the intersection of research and production, where the models they ship have a direct and measurable impact on billions of real-time decisions every day.
WHAT YOU WILL DO
Team Leadership: Lead, grow, and manage the Machine Learning team, setting technical direction and priorities while directly managing and mentoring ML engineers, including senior+ profiles.
Model Development: Design and train predictive models for CTR, CR, VTA, bid shading, and auction-win probability across display and video inventory.
Platform Engineering: Scale our ML platform, feature stores, training pipelines, model versioning, A/B experimentation, to support multiple model families running in production simultaneously.
Real-time Systems: Drive sub-10ms inference at high QPS through model optimization (ONNX), efficient serving, and latency-aware architecture decisions, informed by hands-on DSP/RTB experience.
MLOps & Observability: Own end-to-end ML workflows from data ingestion through monitoring: drift detection, shadow scoring, A/B tests, and automated retraining triggers; drive design reviews, ADRs, and mentoring of the team. Translate business objectives into technical strategies.
Cross-functional Partnership: Work closely with Tech, Reporting, Product and Analytics teams to define ML KPIs, instrument experiments, and communicate model performance to stakeholders up to Comex level.
Applied Research: Design and set up a neural network for adtech from the ground up, taking it from prototype to production in our bidding stack.
★ WHO YOU ARE
You could be a great addition to our Engineering team as Machine Learning Team Lead if you have:
8+ years of industry ML engineering experience, with 3+ years in a technical leadership or team lead role, owning production ML systems at scale.
Required DSP background: hands-on experience building and operating ML systems within a DSP (Demand-Side Platform) environment is mandatory, including deep familiarity with programmatic advertising, RTB, mobile attribution (MMP ecosystem, SKAdNetwork, Privacy Sandbox), and bidding infrastructure.
Deep expertise in recommender systems and/or LTV/churn modeling within an adtech context.
Strong command of the modern ML stack: Python, PyTorch or TensorFlow, scikit-learn, MLflow or Weights & Biases, Spark or Flink for feature engineering.
Solid software engineering fundamentals, you write production-grade, reviewable code and care about system reliability.
Proven experience leading or mentoring a team of ML engineers, with the ability to set technical vision while remaining hands-on.
Track record of delivering value incrementally, shipping working software in small, frequent increments rather than large multi-quarter projects.
Clear, concise communicator who can translate model performance into business impact for non-technical audiences and senior leadership.
Nice to have:
Experience with real-time serving infrastructure: Triton, TorchServe, Ray Serve, or custom low-latency gRPC services.
Scikit-learn, MLflow
Please note that, to comply with employment regulations, applicants are required to maintain residency and be legally authorized to work in France or the European Union in order to be considered for this position.
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