Senior Embedded ML Engineer (Neural Networks)

Nintendo; Redmond; On-site; AUD 210,000 - 378,000; Full time

Job summary

Nintendo Technology Development in Redmond, WA is hiring a data scientist to design, train, and optimize neural networks for embedded systems. You will collaborate with platform engineers to balance performance and memory constraints, and develop scripts to streamline model development.

Ideal candidates have 5+ years in data science, strong Python and deep learning experience, and familiarity with C/C++ and Git. Onsite role with travel up to 10%. Competitive benefits and growth opportunities.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Python

Deep learning

Git

Debugging

C/C++

Embedded systems

Education

BS/MS in CS or Applied Math/Stats

Job description

Nintendo Technology Development in Redmond, WA is hiring a data scientist to design, train, and optimize neural networks for embedded systems. You will collaborate with platform engineers to balance performance and memory constraints, and develop scripts to streamline model development.

Ideal candidates have 5+ years in data science, strong Python and deep learning experience, and familiarity with C/C++ and Git. Onsite role with travel up to 10%. Competitive benefits and growth opportunities.