Sr Engineer, Data Scientist (NTD)
At a glance
Senior Data Science role at Nintendo. Redmond · $145,150–$261,200 base.
dataroles summary, based on the employer's posting.
What you'll do
- Train and tune neural networks so they can run on embedded platforms within performance and memory limits
- Build scripts for model development, and gather and clean the data used to train neural networks
- Coordinate with platform engineers and explain model quality, performance, and domain-specific details to other teams
- Document engineering work, mentor colleagues, and contribute to hiring decisions
What you bring
- At least five years of professional data science experience and three years using deep learning libraries
- Fluency in Python, plus strong debugging and troubleshooting ability
- A bachelor's or master's degree in computer science, applied mathematics, statistics, or a related field
- Familiarity with Git workflows and experience using C or C++
Who this fits
This senior role suits someone who can deliver complex engineering work, mentor other engineers, and contribute to hiring. You’ll work onsite in Redmond and may travel domestically or internationally up to ten percent. Applicants must be eligible to work in the United States; visa sponsorship is unavailable.
From the employer
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.
SUMMARY:
Delivers end-to-end complex engineering projects and proactively identifies opportunities & risks at a module level. Acts as a resource and mentor for other engineers.
DESCRIPTION OF DUTIES
- Train, evaluate, and optimize neural networks for execution on embedded platforms
- Work with platform engineers to meet model performance and memory constraints
- 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
- Provides coaching and mentorship and acts as a resource to other engineers
- Participates as a key contributor to the hiring process
- Up to 10% travel; domestic and international
SUMMARY OF REQUIREMENTS
- 5-8+ years of professional experience as a data scientist
- 3+ years of professional experience working with deep learning libraries
- Fluency in Python
- Possess strong debugging and troubleshooting skills
- Familiar with Git workflow
- Experience with C and/or C++
- Experience with embedded systems is a plus
- BS or MS in CS/Applied Mathematics/Statistics or related field
Applicants must be legally eligible to work in the United States to be considered. Visa sponsorship is not available for this role.
This position is onsite in Redmond, WA, and not open to remote status at this time.
This position includes the base pay range listed below, potential for a semi-annual discretionary performance bonus, and a comprehensive benefits package that includes medical, dental, vision, 401(k), and paid time off.
Pay Range:$145,150—$261,200 USD
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