Machine Learning Operations Engineer

1 Week ago • 3-5 Years • DevOps

Job Summary

Job Description

The ML Ops Engineer will design and implement infrastructure and data pipelines for machine learning systems. Responsibilities include taking offline models and deploying them into production, developing scalable tools for training and inference, and evaluating new technologies to improve performance and reliability. This role requires strong software engineering skills, experience with Kubernetes and cloud computing, and familiarity with data workflow orchestration frameworks. Collaboration with engineering and data science teams is crucial, along with applying software engineering best practices like CI/CD and automation. The position involves supporting model development, focusing on auditability, versioning, and data security, and facilitating the development and deployment of proof-of-concept ML systems.
Must have:
  • 3-5 years' experience in ML Ops/Data Engineering
  • Strong software engineering skills (Python, Linux)
  • Kubernetes & cloud computing experience
  • Experience building ML systems with open-source tools
  • CI/CD and automation experience
Good to have:
  • Familiarity with KubeFlow, Airflow, Argo
  • Deep learning experience (PyTorch, TensorFlow)
  • Japanese fluency
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.

·        Machine Learning Operations Engineer for the Nintendo Technology Development Inc. (NTD) organization will be responsible for building and maintaining infrastructure and highly available services for ML research and development. This role will work closely with IT, Engineering and Data Science teams.

 
DESCRIPTION OF DUTIES 
  • Design and implement the engineering infrastructure and the data pipelines to support machine learning systems for our engineering and data science teams.
  • Take offline models data scientists build and turn them into real machine learning production systems.
  • Develop and deploy scalable tools and services to handle machine learning training and inference.
  • Identify and evaluate new technologies to improve performance, maintainability, and reliability of our machine learning systems.
  • Apply software engineering rigor and best practices to machine learning, including CI/CD, automation, etc.
  • Support model development, with an emphasis on auditability, versioning, and data security.
  • Facilitate the development and deployment of proof-of-concept machine learning systems.
  • Communicate with engineering and data science teams to build requirements and track progress
  • Up to 10% travel; domestic and international.

SUMMARY OF REQUIREMENTS:
  • 3-5 years’ experience building end-to-end systems as a Platform Engineer, ML Ops Engineer, or Data Engineer (or equivalent).
  • Strong software engineering skills in complex, multi-language systems.
  • Fluency in Python.
  • Experience with Linux system administration.
  • Experience deploying and maintaining container orchestration platforms like Kubernetes.
  • Experience developing containers in cloud computing environments.
  • Experience working with cloud computing and database systems.
  • Experience building custom integrations between cloud-based systems using APIs.
  • Experience developing and maintaining ML systems built with open-source tools.
  • Familiarity with data-oriented workflow orchestration frameworks (KubeFlow, Airflow, Argo, etc.).
  • Strong understanding of software testing, benchmarking, and continuous integration.
  • Exposure to machine learning methodology and best practices.
  • Exposure to deep learning approaches and modeling frameworks (PyTorch, Tensorflow, Keras, etc.).
  • Ability to translate business needs to technical requirements.
  • Fluency in Japanese a plus.
  • BS or MS in engineering, computer science, a related field, or equivalent combination of education and experience.
  • Valid passport may be required.

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 $60 - $91 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: February 11, 2025

Similar Jobs

Google - Software Engineer III, Machine Learning, Google Ads

Google

Los Angeles, California, United States (On-Site)
3 Months ago
NVIDIA - AI Computing Architect Intern - 2025

NVIDIA

Shanghai, Shanghai, China (On-Site)
1 Month ago
ByteDance - Software Engineer, ML System Scheduling

ByteDance

San Jose, California, United States (On-Site)
3 Months ago
Luxoft - Senior/Lead Machine Learning and Image Processing Specialist

Luxoft

Poland, Ohio, United States (Remote)
3 Months ago
Samsung Semiconductor - Staff Engineer, AI/ML Software Compiler

Samsung Semiconductor

San Jose, California, United States (Hybrid)
2 Months ago
BayOne Solutions - DevOps Engineer

BayOne Solutions

Gurugram, Haryana, India (Hybrid)
5 Months ago
Egnyte - Staff Software Engineer - C++

Egnyte

Poznań, Greater Poland Voivodeship, Poland (On-Site)
3 Months ago
CloudLinux - IT Intern for CloudImages Team (remote-only opportunity, location - Europe&CIS)

CloudLinux

Warsaw, Masovian Voivodeship, Poland (Remote)
2 Months ago
Surge Technology Solutions  Inc  - DevOps Engineer with AWS

Surge Technology Solutions Inc

Bengaluru, Karnataka, India (On-Site)
5 Months ago
Tanla Platforms  - Senior Site Reliability Engineer

Tanla Platforms

Hyderabad, Telangana, India (On-Site)
4 Months ago

Get notifed when new similar jobs are uploaded

Similar Skill Jobs

Microsoft - Research Intern - Applied Science in Viva Insights

Microsoft

Redmond, Washington, United States (On-Site)
1 Month ago
Hashlist - Staff Perception Engineer

Hashlist

Bengaluru, Karnataka, India (Hybrid)
4 Months ago
Autodesk - Intern, AI Research Scientist - 3D Generation

Autodesk

London, England, United Kingdom (On-Site)
4 Months ago
ByteDance - Software Engineer Intern (Doubao (Seed) - Machine Learning System) - 2025 Summer (MS)

ByteDance

San Jose, California, United States (On-Site)
3 Months ago
PAPAYA - Data Scientist

PAPAYA

Tel Aviv-Yafo, Tel Aviv District, Israel (On-Site)
1 Week ago
Twitch - Applied Scientist - Safety ML

Twitch

San Francisco, California, United States (On-Site)
2 Months ago
The Walt Disney Company - Sr Machine Learning Engineer

The Walt Disney Company

Los Angeles, California, United States (On-Site)
2 Months ago
Trendyol - Data Science Team Lead - Dolap

Trendyol

İstanbul, İstanbul, Türkiye (Hybrid)
1 Month ago
Stupa Sports Analytics - Computer Vision Engineer

Stupa Sports Analytics

Gurugram, Haryana, India (On-Site)
4 Months ago

Get notifed when new similar jobs are uploaded

Jobs in Redmond, Washington, United States

Epic Games - Character Concept Outsource Lead

Epic Games

Cary, North Carolina, United States (On-Site)
3 Weeks ago
Evolution - On-Site Virtual Customer Service Online Casino

Evolution

Southfield, Michigan, United States (On-Site)
9 Months ago
Meta - Research Scientist Intern, Machine Perception for Input and Interaction (PhD)

Meta

Pittsburgh, Pennsylvania, United States (On-Site)
3 Months ago
Passive Logic - Computational Physics Software Engineer

Passive Logic

Salt Lake City, Utah, United States (On-Site)
3 Months ago
Varonis  - Business Operations Analyst

Varonis

Morrisville, North Carolina, United States (On-Site)
1 Month ago
Tencent - Senior Researcher - Video Standards

Tencent

Palo Alto, California, United States (On-Site)
1 Week ago
Patreon - Video Editor

Patreon

California, United States (Hybrid)
1 Week ago
Scale AI - Army Acquisitions Writing Expert

Scale AI

St. Louis, Missouri, United States (Remote)
4 Months ago
The Walt Disney Company - Lead Software Engineer, Machine Learning - Ad Platforms

The Walt Disney Company

San Francisco, California, United States (On-Site)
3 Months ago
Imagineio - Head - Customer Success

Imagineio

Austin, Texas, United States (Hybrid)
3 Months ago

Get notifed when new similar jobs are uploaded

DevOps Jobs

Rackspace Technology - Professional Services Delivery Director

Rackspace Technology

United States (Remote)
1 Month ago
Cadence - Senior Cloud Platform Architect

Cadence

San Jose, California, United States (On-Site)
4 Months ago
Larian Studios - DEVOPS BUILD ENGINEER

Larian Studios

Quebec, Canada (On-Site)
1 Month ago
Scopely - Lead DevOps/SRE - Unannounced Project

Scopely

Dublin, County Dublin, Ireland (Hybrid)
1 Month ago
ION - Cloud Engineer Kubernetes

ION

Italy (Hybrid)
4 Months ago
ByteDance - Software Engineer - Serverless Compute Infrastructure

ByteDance

Seattle, Washington, United States (On-Site)
2 Weeks ago
Zeta - Engineering Manager - Cloud Security (DevSecOps)

Zeta

Bengaluru, Karnataka, India (On-Site)
4 Months ago
Avathon - Senior IT Cloud Engineer

Avathon

Bengaluru, Karnataka, India (On-Site)
4 Months ago
Saviynt - Principal Engineer, Software Engineering

Saviynt

El Segundo, California, United States (Hybrid)
4 Months ago

Get notifed when new similar jobs are uploaded

About The Company

Nintendo's mission is to put smiles on the faces of everyone we touch. We do so by creating new surprises for people across the world to enjoy together. We've forged our own path since 1889, when we began making hanafuda playing cards in Kyoto, Japan. Today, we’re fortunate to be able to share our characters, ideas and worlds through the medium of video games and the entertainment industry.


Nintendo of America, established in 1980 and based in Redmond, Washington, is a wholly owned subsidiary of Nintendo Co., Ltd. We are committed to delivering best-in-class products and services to our customers and to investing in the well-being of our employees as part of the global Nintendo family.


For more information about Nintendo please visit www.nintendo.com.

Redmond, Washington, United States (Hybrid)

New York, New York, United States (On-Site)

New York, New York, United States (On-Site)

North Bend, Washington, United States (Hybrid)

Redmond, Washington, United States (On-Site)

Redmond, Washington, United States (Hybrid)

Redmond, Washington, United States (Hybrid)

Washington, United States (On-Site)

Redmond, Washington, United States (Hybrid)

View All Jobs

Get notified when new jobs are added by Nintendo

Level Up Your Career in Game Development!

Transform Your Passion into Profession with Our Comprehensive Courses for Aspiring Game Developers.

Job Common Plug