Staff Machine Learning Engineer (Madrid) | (X83)

Staff Machine Learning Engineer (Madrid) | (X83)

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As a Staff Machine Learning Engineer in our Applied ML & Research team , you'll drive the development of cutting-edge machine learning solutions that power critical features across our online gaming platforms. Your work will directly impact platform security, user experience, and large-scale data-driven decision-making for hundreds of thousands of users daily.
This role blends hands-on technical work with strategic thinking.



You’ll lead by example, contribute high-quality code, and help shape the ML roadmap in the organization through cross-functional collaboration.
What you’ll you be doing:

- Identify high-impact ML opportunities and influence stakeholders to prioritize and support these initiatives.
- Design and develop scalable machine learning models — including classifiers, regressors, and rule-based systems — to solve real-world problems.
- Own the full ML lifecycle: from data exploration and feature engineering to model training, evaluation, and deployment.
- Translate complex technical concepts into clear insights for both technical and non-technical stakeholders.
- Set and guide technical direction across ML projects, ensuring technical best practices as well as alignment with business goals.
- Mentor junior engineers and foster a culture of knowledge sharing and continuous improvement.

We're looking for someone with:

- Master’s degree (or equivalent) in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field.




- 7+ years of industry experience building and deploying ML models at scale.
- Proven ability to lead cross-functional technical initiatives and influence engineering strategy.
- Proficiency in Python (with libraries like PyTorch, XGBoost, Scikit-learn) and SQL.
- Strong experience with machine learning pipelines and orchestration tools such as Airflow, SageMaker Pipelines, or similar.
- Deep understanding of machine learning fundamentals, including experience with Large Language Models (LLMs) and other emerging ML technologies.
- A track record of shipping production-level ML products and maintaining high code quality.
- Excellent problem-solving skills and ability to scope and disambiguate complex ML projects into clear, achievable milestones.

Bonus points for:

- Familiarity with ML tooling such as MLflow, ZenML, or Metaflow.




- Hands-on experience with AWS services (e.g., EC2, EKS, CloudFormation, Cognito).
- Exposure to streaming data platforms like Kafka.
- Contributions to open-source ML projects or publications in ML conferences.

Seniority level

- Seniority level

Mid-Senior level

Employment type

- Employment type

Full-time

Job function

- Job function

Engineering and Information Technology
- Industries

Technology, Information and Internet

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📌 Staff Machine Learning Engineer
🏢 Happening
📍 Madrid

El anuncio original lo puedes encontrar en Kit Empleo:
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