Intern – Machine Learning Software Engineer (NTD)

7 Months ago • 4-8 Years • Research Development

Job Summary

Job Description

This internship offers a summer 2025 opportunity for a Machine Learning Engineer to join the Analytics Team at Nintendo Technology Development in Redmond, WA. Responsibilities include improving telemetry data collection and processing from software tools, leveraging deep learning frameworks (PyTorch, ONNX Runtime, TensorFlow) to enhance user and gameplay experiences, and contributing to data analysis. The ideal candidate is a strong team player, problem-solver, and possesses excellent coding and communication skills. This is an on-site, contract position with an hourly rate of $40.00 and benefits eligibility through the employing agency.
Must have:
  • BS/MS in Data Science/CS/Engineering
  • Solid understanding of PyTorch or TensorFlow
  • Strong Python skills
  • Data/statistical analysis experience
  • Code writing and debugging skills
Good to have:
  • Knowledge of C++
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.

 

Nintendo is an equal opportunity employer. We offer a welcoming and inclusive environment in service to one another, our products, the diverse consumers we represent, and the communities we call home. We do all of this with kindness, empathy and respect for each other.

DESCRIPTION OF DUTIES:

We are seeking an entry-level Machine Learning Engineer available during the summer of 2025 to join our Analytics Team.  We are looking for people who are excellent team players, and who also work well on individual assignments. In addition, the successful candidate will be a high-energy problem-solver with a passion for excellence. Potential tasks may include exploring how to improve the collection and processing of telemetry data from our software tools to better inform future decisions, leveraging deep learning frameworks (PyTorch, ONNX Runtime, TensorFlow, etc.) either online or offline to enhance the user and gameplay experience, etc.

SUMMARY OF REQUIREMENTS:
  • Rising senior pursuing BS or MS in Data Science, Computer Science or Engineering-related field (MS preferred)
  • Solid understanding of either PyTorch or TensorFlow
  • Need to be able to write and debug code
  • Strong Python skills
  • Knowledge of C++ is a plus
  • Good written and communication skills  
  • Experience with data or statistical analysis 

This position is onsite in Redmond, WA, and not open to remote status at this time. 
 
This contract position has a base pay of $40.00 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: November 26, 2024

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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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