Senior Software Engineer, Machine Learning

Electronic Arts

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Bucharest, Romania
Posted
71 days ago
Freshness
Confirmed live yesterday

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Salary context

How this pay compares to similar roles

Similar $214k
$164k most similar roles pay here $274k

This listing doesn't post a salary. Most similar roles pay $177,250–$250,946.

Based on 240 similar postings.

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About Electronic Arts

Electronic Arts is a global leader in digital interactive entertainment, developing and publishing games for consoles, mobile, and PC under franchises including FIFA, Madden NFL, The Sims, Apex Legends, and Battlefield.

Electronic Arts currently has 28 open roles on FindRole.

Listed pay typically runs $141,400–$204,400 across 13 roles with salary data.

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At a glance

TL;DR · Senior Software Engineer, Machine Learning

As a Senior Software Engineer, Machine Learning - EA SPORTS™ FC, you will join the FC Generative AI team to research, develop, and integrate machine learning models into game features. You will be responsible for evaluating techniques in areas such as automatic speech recognition, natural language processing, and procedural content generation. Your daily work involves tailoring model functionality and inference frameworks to meet specific requirements while optimizing C++ runtime inference systems for target platform constraints and performance KPIs. You will also collaborate with cross-functional teams and external vendors to prototype new opportunities. The role requires proficiency in C++, Python, and experience with PyTorch or TensorFlow. You will apply these skills to solve technical challenges related to real-time rendering engines and GPU or NPU specific parallel computing platforms within the football game ecosystem.

What does a Software Engineer earn?

Median $197500 from 2196 postings across 133 companies.

See salary data

What you'll do

  • Research and evaluate machine learning models for speech recognition, natural language processing, and procedural content generation.
  • Tailor model functionality and inference frameworks to meet specific game requirements and integration needs.
  • Optimize C++ runtime inference systems to meet target platform constraints and performance KPIs.
  • Develop and productize machine learning applications into live game features.
  • Identify and prototype new ML application opportunities by monitoring industry trends and consulting with external vendors.
  • Promote machine learning best practices through presentations and interactive demonstrations for the team.

What we're looking for

  • BS in Computer Science, Mathematics, or a related field, or equivalent professional experience.
  • Master's or PhD degree in Computer Science, Mathematics, or a related field is preferred.
  • Strong computer programming fundamentals with proficiency in C++ and Python.
  • Experience optimizing Machine Learning inference systems across memory, compute, and latency constraints.
  • Proven record of building, deploying, and maintaining productized Machine Learning applications.
  • Experience with ML frameworks such as PyTorch or TensorFlow.
  • Experience optimizing ML models for memory and compute constrained real-time environments.
  • Experience with real-time rendering engines and IHV GPU/NPU specific parallel computing platforms.

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