ML Engineer

2 Months ago • 2 Years + • Research Development

Job Summary

Job Description

This role focuses on designing, deploying, and maintaining ML models and infrastructure, in collaboration with Data Engineers and Data Scientists. The responsibilities include designing, building, and maintaining scalable ML pipelines to support AI-driven localization workflows. The role involves collaborating with cross-functional teams, training and evaluating models, deploying and monitoring models, developing preprocessing pipelines, leveraging MLOps best practices, designing and maintaining API REST services, partnering with Data Engineers and Data Scientists, contributing to continuous model and system improvement, conducting code reviews, and optimizing applications for maximum speed and scalability.
Must have:
  • 2+ years of experience in Machine Learning Engineering.
  • Bachelor’s degree in related discipline.
  • Strong Python programming skills with ML libraries.
  • Experience in building and deploying ML models.
  • Familiarity with data processing and orchestration tools.
  • Solid understanding of model lifecycle management.
  • Experience working with APIs and RESTful services.
  • Knowledge of software engineering best practices and tools.
  • Strong debugging skills and reading code.
  • Strong problem-solving and communication skills.
Good to have:
  • Knowledge of NLP and Computer vision techniques and tools.
  • Experience with cloud services.
  • Experience with WebAPI and RESTful services.
Perks:
  • Healthcare coverage
  • Mental well-being support
  • Retirement savings
  • Paid time off
  • Family leaves
  • Complimentary games

Job Details

We are hiring a Machine Learning Engineer to join our Localization Data & AI team, in our Madrid office with a attendance required 3 days a week in a hybrid model.

The Loc Data & AI team's mission is to empower EA Localization through intelligent, data-driven solutions—building scalable AI systems, streamlining ML operations, and creating tools that enhance the quality and efficiency of localized content.

This role focuses on designing, deploying, and maintaining ML models and infrastructure, collaborating closely with Data Engineers and Data Scientists.

Responsibilities

  • Design, build, and maintain scalable and production-ready ML pipelines to support AI-driven localization workflows.
  • Collaborate with cross-functional teams to understand business needs and translate them into ML solutions.
  • Train, evaluate, and fine-tune models for NLP, Computer Vision, and other ML use cases.
  • Deploy and monitor ML models in different environments, ensuring performance, scalability, and reliability.
  • Develop preprocessing pipelines tailored to ML/DL tasks by working with large structured and unstructured datasets in multiple languages.
  • Leverage MLOps best practices for versioning, testing, CI/CD, and monitoring of models (e.g., MLflow, Sagemaker, or VertexAI).
  • Design, develop, and maintain API REST services using languages such as Python, .NET, and/or Node.js.
  • Partner with Data Engineers and Data Scientists to ensure efficient data access and optimized feature engineering processes.
  • Contribute to continuous model and system improvement through experiment tracking, feedback loops, and performance analysis.
  • Conduct code reviews and ensure high-quality coding standards.
  • Optimize applications for maximum speed and scalability.
  • Collaborate with cross-functional teams to define, design, and ship new features.
  • Ensure adherence to ethical AI and data governance standards.

Qualifications

  • 2+ years of hands-on experience in Machine Learning Engineering.
  • Bachelor’s degree in Computer Science, Engineering, Applied Mathematics, or related discipline.
  • Strong Python programming skills, with experience in ML libraries (scikit-learn, TensorFlow, PyTorch, Hugging Face).
  • Proficiency in building and deploying ML models in real-world applications.
  • Familiarity with data processing frameworks (Pandas, NumPy) and orchestration tools (Airflow, Prefect).
  • Solid understanding of model lifecycle management and MLOps tools (e.g., MLflow, VertexAI, SageMaker, AzureML).
  • Experience working with APIs, RESTful services, and microservice-based architecture.
  • Knowledge of NLP and Computer vision techniques and tools for multilingual data is a strong plus.
  • Experience with cloud services (AWS, Azure, or GCP) for ML/DL development and deployment.
  • Experience with WebAPI and RESTful services.
  • Knowledge of software engineering best practices and tools (Gitlab and Github), such as Continuous Integration and Version Control (Git).
  • Oversee and contribute to the underlying infrastructure that powers ML systems (e.g, Terraform) ensuring robust, maintainable, and secure foundations for scalable deployment.
  • Strong debugging skills and fluent in reading code.
  • Strong problem-solving skills, and ability to communicate technical concepts clearly with stakeholders.
  • Excellent communication and collaboration skills, with the ability to translate data insights into business impact.




About Electronic Arts
We’re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth.

We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do.

Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.

Similar Jobs

Apple - VLSI CAD Engineer

Apple

Austin, Texas, United States (On-Site)
3 Weeks ago
Axi - Senior Software Architect

Axi

Singapore (On-Site)
1 Week ago
Glean - Delivery Excellence Manager

Glean

New York, United States (Hybrid)
1 Week ago
AccelData - Staff Engineer (Open Source Committer and Contributor)

AccelData

Bengaluru, Karnataka, India (On-Site)
7 Months ago
Netflix - Language Production Manager, English Dubbing

Netflix

Los Angeles, California, United States (On-Site)
3 Months ago
Krafton - AI Adoption Specialist

Krafton

Seoul, South Korea (On-Site)
3 Months ago
Glean - Software Engineer, Machine Learning

Glean

Bengaluru, Karnataka, India (On-Site)
2 Months ago
Mercury - Research Operations Specialist

Mercury

San Francisco, California, United States (On-Site)
1 Month ago
Safe security - Senior Threat Researcher

Safe security

Bengaluru, Karnataka, India (On-Site)
1 Month ago
Coherent corp. - Process R&D Engineer

Coherent corp.

Dallas, Texas, United States (On-Site)
3 Weeks ago

Get notifed when new similar jobs are uploaded

Similar Skill Jobs

Scout - Human Factors Engineer

Scout

Novi, Michigan, United States (On-Site)
6 Days ago
GoTo Group - Senior Software Engineer - Devops

GoTo Group

Jakarta, Indonesia (On-Site)
2 Months ago
endava - Java Design Lead

endava

Córdoba, Córdoba Province, Argentina (On-Site)
1 Week ago
Scout - Technical Specialist, Test-Car Build Management

Scout

Columbia, South Carolina, United States (On-Site)
3 Weeks ago
Aristocrat - Senior Financial Analyst

Aristocrat

Las Vegas, Nevada, United States (Hybrid)
3 Months ago
miniclip - Senior Cloud Engineer

miniclip

Lisbon, Lisbon, Portugal (On-Site)
1 Month ago
Apple - Product Design Engineer

Apple

Cupertino, California, United States (On-Site)
2 Months ago
SparkCognition - Senior UX Designer

SparkCognition

Bengaluru, Karnataka, India (On-Site)
9 Months ago
Survay Monkey - Vice President of Product, Growth & Monetization

Survay Monkey

San Mateo, California, United States (Hybrid)
3 Days ago
Reliance Industries  - Manual Do QA

Reliance Industries

Bengaluru, Karnataka, India (On-Site)
8 Months ago

Get notifed when new similar jobs are uploaded

Jobs in Madrid, Community of Madrid, Spain

Buckman - BDM / Solutions Engineer - Tissue Iberia

Buckman

Catalonia, Spain (On-Site)
9 Months ago
Sabre India - Senior Account Manager, Spain

Sabre India

Madrid, Community Of Madrid, Spain (Hybrid)
1 Week ago
Mainbot studios - Spain (ES)

Mainbot studios

Spain (On-Site)
1 Week ago
Synergy Games - Send Us Your CV

Synergy Games

Las Palmas De Gran Canaria, Canary Islands, Spain (On-Site)
1 Week ago
Scopely - Senior Product Manager - Performance

Scopely

Seville, Andalusia, Spain (Hybrid)
2 Weeks ago
Lingo Kids LLC - Sr. CRM Specialist

Lingo Kids LLC

Madrid, Community Of Madrid, Spain (Remote)
3 Months ago
Electronic Arts - Data Scientist - NLP

Electronic Arts

Madrid, Community Of Madrid, Spain (Hybrid)
2 Months ago
Autodesk - Enterprise Subscription Renewal Representative (French Speaker)

Autodesk

Barcelona, Catalonia, Spain (Hybrid)
1 Month ago
PwC - PwC | BuDDies Financial Due Diligence Programme - Barcelona

PwC

Barcelona, Catalonia, Spain (On-Site)
9 Months ago
HP - Supply Chain Management, Analytics and Strategy Internship

HP

Sant Cugat Del Vallès, Catalonia, Spain (On-Site)
2 Days ago

Get notifed when new similar jobs are uploaded

Research Development Jobs

Varonis  - DFIR Security Researcher

Varonis

Herzliya, Tel Aviv District, Israel (Hybrid)
6 Months ago
bytedance - Research Scientist- Foundation Model, Video Generation

bytedance

Seattle, Washington, United States (On-Site)
8 Months ago
Scale AI - Machine Learning Engineer, International Public Sector

Scale AI

United Kingdom (On-Site)
9 Months ago
FICO - Analytic Science — Pre-Sales Lead Scientist

FICO

San Diego, California, United States (On-Site)
1 Month ago
Brillio - Agentic AI Lead

Brillio

Tampa, Florida, United States (On-Site)
2 Months ago
DevRev - Member of Applied AI Engineering Team ( ETL)

DevRev

Ljubljana, Ljubljana, Slovenia (On-Site)
2 Months ago
Jane Street - Machine Learning Engineer

Jane Street

New York, United States (On-Site)
1 Week ago
NXP - Internship - AI/ML Engineer

NXP

Nijmegen, Gelderland, Netherlands (On-Site)
1 Year ago
Ansys - R&D Engineer II

Ansys

Wrexham, Wales, United Kingdom (Remote)
1 Month ago
Ansys - Senior AI R&D Engineer

Ansys

Montigny-le-Bretonneux, Île-de-France, France (Remote)
1 Week ago

Get notifed when new similar jobs are uploaded

About The Company

Redwood City, California, United States (Hybrid)

Southam, England, United Kingdom (Hybrid)

Bucharest, Romania (Hybrid)

Vancouver, British Columbia, Canada (Hybrid)

Austin, Texas, United States (Hybrid)

Hyderabad, Telangana, India (Hybrid)

Montreal, Quebec, Canada (Hybrid)

Los Angeles, California, United States (Hybrid)

Vancouver, British Columbia, Canada (Hybrid)

Redwood City, California, United States (Hybrid)

View All Jobs

Get notified when new jobs are added by Electronic Arts

Level Up Your Career in Game Development!

Transform Your Passion into Profession with Our Comprehensive Courses for Aspiring Game Developers.

Job Common Plug