Senior Data Scientist

4 Months ago • 5 Years + • Administrative • $170,000 PA - $255,000 PA

Job Summary

Job Description

Nintendo Technology Development seeks a Senior Data Scientist to develop deep learning neural networks for audio enhancement and computer vision. Responsibilities include training, evaluating, and optimizing neural networks using PyTorch and/or TensorFlow; writing scripts for model development; procuring and cleaning training data; communicating with other teams regarding domain expertise, model quality, and performance; and documenting work. The role requires expertise in deep learning, neural network quantization, and strong debugging skills. Experience with Python and Git is essential. C, C++, or C# experience is a plus.
Must have:
  • 5+ years data science experience
  • 3+ years deep learning (PyTorch/TensorFlow)
  • 3+ years Python experience
  • Neural network quantization expertise
  • Strong debugging and Git skills
Good to have:
  • C, C++, or C# experience
Perks:
  • Medical insurance
  • Employee assistance program
  • Paid sick leave

Job Details

Nintendo Technology Development 

The worldwide pioneer in the creation of interactive entertainment, Nintendo Co., Ltd., of Kyoto, Japan, manufactures and markets hardware and software for its Nintendo Switch system and the Nintendo 3DS family of portable systems. Since 1983, when it launched the Nintendo Entertainment System, Nintendo has sold more than 4.7 billion video games and more than 740 million hardware units globally, including Nintendo Switch and the Nintendo 3DS family of systems, as well as the Game Boy, Game Boy Advance, Nintendo DS family of systems, Super NES, Nintendo 64, Nintendo GameCube, Wii and Wii U systems. It has also created industry icons that have become well-known, household names, such as Mario, Donkey Kong, Metroid, Zelda and Pokémon.  A wholly owned subsidiary, Nintendo Technology Development, based in Redmond, Washington, creates future hardware/software technology and researches North American-based technologies.
  
We are seeking a data scientist to assist with the development of deep learning neural networks including, but not limited to, audio enhancement and computer vision. The role focuses on iterating over the training, quantization, and evaluation of neural networks implemented in PyTorch and/or TensorFlow.
   
DESCRIPTION OF DUTIES
  • Train, evaluate, and optimize neural networks
  • Write scripts to facilitate neural network model development and use
  • Procure and clean data necessary for training models
  • Effectively communicate with other teams, especially as it relates to domain-specific knowledge, model quality, and model performance
  • Documents work according to defined processes

SUMMARY OF REQUIREMENTS:
  • 5+ years of professional experience as a data scientist
  • 3+ years of professional experience working with deep learning libraries (PyTorch and/or TensorFlow)
  • 3+ years of professional experience working with Python
  • Experience with neural network quantization
  • Possess strong debugging and troubleshooting skills
  • Familiar with Git workflow
  • Experience with C, C++, or C# is a plus
  • BS in CS/Applied Mathematics/Statistics/DS/ML or related field
   
This position is onsite in Redmond, WA, and not open to remote status at this time. 
 
  
This contract position has a base pay range of $81.76 - $122.57 per hour and is eligible for benefits through the employing agency. Agency benefits include eligibility for medical insurance, employee assistance program, and paid sick leave. All benefits are subject to elections, eligibility requirements, plan and program terms. Benefits offerings will be confirmed at the time of offer by the employing agency, and may differ depending on the employing agency partner.
#LI-Onsite 

JOB DATE: January 16, 2025

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About The Company

Redmond, Washington, United States (On-Site)

Redmond, Washington, United States (On-Site)

Redmond, Washington, United States (On-Site)

Redmond, Washington, United States (Hybrid)

Redmond, Washington, United States (On-Site)

Redmond, Washington, United States (Hybrid)

Redmond, Washington, United States (Hybrid)

Redmond, Washington, United States (Hybrid)

Redmond, Washington, United States (Hybrid)

Redmond, Washington, United States (Hybrid)

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