Machine Learning Engineer

EA SPORTS is at the forefront of revolutionizing the world of gaming by driving transformational change in how games are made and played. At EA SPORTS, everyone contributes to crafting the future of entertainment, building a community where creativity and innovation thrive.

The FC Gameplay Advanced Team makes meaningful innovations in team strategy, AI, player animation, and player interactions that create exciting back of the box features for the EA Sports FC franchise. We work with creative designers, artists, and engineers to deliver big ideas that matter to the millions of players who enjoy the biggest sports video game in the world.

In this role you will join our multidisciplinary effort to deliver the best animation in the industry. You will be initially focusing on building a generative system to produce poses at runtime.

Your Responsibilities

• Apply best ML techniques in context to develop the best models that generate high quality human motions which respond quickly to user pad inputs in game.
• Integrate these models into C++ game code to implement or support shipping features
• Develop and maintain a complete animation data pipeline for ML training from source to deployment.
• Develop stress tests to fully test any deployed models.
• Gather and analyze cases in deployment and come up with ways to optimize model performance.
• Gather, annotate, or synthesize the required data for your models, based on EA FC's extensive mocap and real-world volumetric data as well as feedback from our animation experts
• Share your results through shipping product features, presentations, papers, prototypes and compelling interactive demonstrations
• Stay abreast of the latest advancements and consult with internal stakeholders such as production, design, and artists, to identify opportunities and propose impactful projects
  
  

Your Qualifications

• BS in Computer Science, Mathematics or related field, or equivalent experience
• 3+ years of experience working with animation. Familiarity with 3D animation tools like MotionBuilder or game engines.
• Experience in python programming with ML frameworks like PyTorch or TensorFlow
• Experience in productizing ML solutions as standalone applications or as web services
• Experience in optimizing ML models for memory and compute constrained real-time environments
• Proficiency with C++ and Python
• Experience in working with cloud technology and platforms, e.g. containers, Kubernetes, Azure, and AWS
• Experience in working with GBs/TBs of data
• Knowledge of 3D transformations
  
  

COMPENSATION AND BENEFITS The ranges listed below are what EA in good faith expects to pay applicants for this role in these locations at the time of this posting. If you reside in a different location, a recruiter will advise on the applicable range and benefits. Pay offered will be determined based on a number of relevant business and candidate factors (e.g. education, qualifications, certifications, experience, skills, geographic location, or business needs). BASE SALARY RANGES

• British Columbia (depending on location e.g. Vancouver vs. Victoria)
• $96,400 - $133,900 CAD
  

In British Columbia, we offer a package of benefits including vacation (3 weeks per year to start), 10 days per year of sick time, paid top-up to EI/QPIP benefits up to 100% of base salary when you welcome a new child (12 weeks for maternity, and 4 weeks for parental/adoption leave), extended health/dental/vision coverage, life insurance, disability insurance, retirement plan to regular full-time employees. Certain roles may also be eligible for bonus and equity.