Role overview
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.
What you'll work on
- Analyze large, multilingual datasets to generate actionable insights for localization workflows.
- Develop and refine feature engineering pipelines tailored for multilingual and multimodal datasets.
- Develop of automatic translation pipelines based on agents using LLMs and prompting engineering techniques.
- Evaluate LLMs performance, conduct error analysis, and iterate to improve accuracy, fairness, and reliability.
- Datasets develop for testing and QA of new prompts or new models for automatic translation.
- Apply statistical analysis, A/B testing, and experimental design to evaluate the impact of localization strategies.
- Use tools like langfuse, for prompt and dataset development and management.
- Conduct code reviews and ensure high-quality coding standards.
- Ensure adherence to ethical AI standards.
- Stay up-to-date with the latest research in prompting engineering, machine learning, LLMs and localization technologies.
What we're looking for
- 2+ years of hands-on experience in applied data science, ideally in NLP, prompt engineering or multilingual domains.
- Bachelor’s or Master’s degree in Data Science, Computer Science, Maths, Statistics, Linguistics, or a related field.
- Strong proficiency in Python and core data science libraries (Pandas, NumPy, scikit-learn, Matplotlib, Seaborn).
- Experience with ML and DL frameworks (TensorFlow, PyTorch, Hugging Face Transformers).
- Solid grasp of statistical methods, hypothesis testing, and experimental design.
- Familiarity with NLP concepts and tools (e.g., BLEU, BERTScore, spacy, nltk, quality estimation) is a plus.
- Strong communication skills with the ability to convey technical insights to non-technical audiences.
- Passion for localization, culturalization, language technologies, and building AI that enhances global user experiences.