Machine Learning Engineer
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| Company Name | Electronic Arts (EA) |
| Company Type | Private |
| Job Type | Full-Time |
| Salary Range | Market Competitive |
| Location | Stockholm, Stockholm County, Sweden |
| Qualifications | None / No Formal Education |
| Experience | No Experience / Fresh |
Job Overview
Electronic Arts (EA) is seeking an enthusiastic Entry-Level Machine Learning Engineer to join their team in Stockholm, Sweden. This role offers an exciting opportunity to contribute to the development of next-level entertainment experiences by applying machine learning principles and working within a global community of innovators.
Company Overview
Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A team where creativity thrives, new perspectives are invited, and ideas matter. Regardless of your role, team, or location, this is a place where everyone makes play happen. Join us.
Quick Details
- Salary Range: Market Competitive
- Job Type: Full-time
- Qualifications: None / Open to all applicants
- Experience: No Experience / Fresh
Key Responsibilities
- Assist in the design, development, and deployment of machine learning models and algorithms.
- Collaborate with engineering teams to integrate ML solutions into gaming and entertainment products.
- Contribute to data collection, preprocessing, and analysis for model training and evaluation.
- Participate in the evaluation and continuous improvement of ML model performance.
- Research and stay updated on the latest advancements in machine learning and artificial intelligence.
- Support the team in building scalable and efficient ML pipelines.
Requirements
- Entry-level understanding of machine learning concepts, algorithms, and methodologies.
- Proficiency in programming languages such as Python and relevant ML libraries (e.g., NumPy, Pandas).
- Familiarity with machine learning frameworks like TensorFlow, PyTorch, or scikit-learn is a plus.
- Strong problem-solving skills and an analytical mindset.
- Excellent communication and collaboration abilities within a diverse team environment.
- Bachelor’s degree in Computer Science, Engineering, or a related quantitative field preferred.
Benefits
- Opportunity to work on innovative and globally recognized entertainment products.
- Collaborative, creative, and inclusive work environment.
- Professional growth and continuous learning opportunities within a leading tech company.
- Comprehensive health and wellness programs.
- Access to employee discounts and perks on EA games and services.
- Be part of a global team that inspires play and connects communities worldwide.