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Intern Ai Model Training Jobs in Oregon (NOW HIRING)

The CPU architecture team is driving innovations that integrate seamlessly with NVIDIA's broader technology stack, enabling faster AI model training, agentic use-cases, efficient data processing, and ...

... the AI models to be useful and scalable. As an Associate, you will focus on learning and ... training and/or progressively responsible work experience in Engineering with AI and Machine ...

Senior CPU Performance Architect

Hillsboro, OR · On-site

$181K/yr

The CPU architecture team is driving innovations that integrate seamlessly with NVIDIA's broader technology stack, enabling faster AI model training, agentic use-cases, efficient data processing, and ...

We are hiring an AI Engineer to build and operate the data, features, and GenAI foundations that ... model training, real-time inference, and LLM applications using Claude-, GPT/Codex-, and Gemini ...

Senior Machine Learning Engineer

OR · On-site +1

$104K - $143K/yr

Experience operationalizing ML systems at production scale, including model training, versioning ... Experience with AI Software Development Tools (e.g., GitHub CoPilot, Claude)

Showing results 21-40

Intern Ai Model Training information

What does an intern AI model training do?

An Intern in AI Model Training assists in developing, training, and evaluating artificial intelligence models under the guidance of senior data scientists or machine learning engineers. Their responsibilities may include preparing datasets, running experiments, tuning model parameters, and analyzing results. Interns often use programming languages like Python and frameworks such as TensorFlow or PyTorch. This role provides hands-on experience with real-world data and AI tools, helping interns gain foundational skills for a career in artificial intelligence.

What are the key skills and qualifications needed to thrive as an intern AI model training?

To thrive as an Intern in AI Model Training, you need a solid foundation in computer science, mathematics, and programming languages such as Python, often supported by ongoing studies in a related degree. Familiarity with machine learning frameworks (like TensorFlow or PyTorch), data preprocessing tools, and version control systems is typically expected. Strong analytical thinking, attention to detail, and a willingness to learn are crucial soft skills that help interns excel in this role. These skills are important to effectively contribute to model development, troubleshoot issues, and collaborate within AI research teams.

What is the difference between Intern Ai Model Training vs Data Analyst Intern?

AspectIntern Ai Model TrainingData Analyst Intern
Required SkillsBasic programming, machine learning fundamentals, data preprocessingData analysis, Excel, SQL, statistical understanding
Work EnvironmentAI development teams, tech companies, research labsBusiness teams, finance, marketing, tech firms
CertificationsIntro to Machine Learning, Python programmingData analysis, Excel, SQL certifications

Intern Ai Model Training focuses on developing and training machine learning models, requiring programming and AI fundamentals. Data Analyst Interns analyze data sets to generate insights, emphasizing statistical and analytical skills. Both roles are common in tech and data-driven industries but differ in technical focus and daily tasks.

What are the most commonly searched types of Ai Model Training jobs in Oregon?

The most popular types of Ai Model Training jobs in Oregon are:

Senior System Simulation Architect

Nvidia

Hillsboro, OR • On-site

Full-time

Re-posted 17 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 246 rated software companies


Job description

Do you want to help drive the development of CPU architectures to fuel the explosive growth in artificial intelligence (AI) / deep learning (DL), high-performance computing (HPC), gaming, virtual reality, and autonomous vehicles? Come join the CPU performance architecture team as a Senior System Simulation Architect and help us push performance boundaries for NVIDIA's line of CPU products!

What you'll be doing:

  • Develop full-system functional models capable of running complex multi-threaded heterogeneous (CPU/GPU) workloads - with special focus on the CPU subsystem.

  • Integrate functional models from various frameworks with RTL simulators and emulators, hardware (HW-in-the-loop), and detailed performance models.

  • Bring up system and application software in simulation and emulation - including firmware, Linux, drivers, benchmarks, and CPU/GPU workloads such as deep-learning (DL) and high-performance computing (HPC) workloads.

  • Port/extend/develop system software (firmware, OS, and drivers) to meet workload simulation needs.

  • Support CPU architects and performance engineers in their use of functional models, performance models, and emulation to drive next-generation CPU architectures.

What we need to see:

  • BS/MS in EE, CE, or CS or equivalent experience

  • 6 or more years of relevant experience

  • Excellent C/C++/Python programming skills

  • Experience in development of functional simulators and/or low-level software (OS, firmware, drivers); preferably both

  • Excellent debugging skills - of both system software/firmware and application software

  • Experience with the ARM ISA

  • Excellent communication and teamwork skills

Ways to stand out from the crowd:

  • Experience working with hardware emulators and/or FPGAs

  • Background in CPU workload analysis (SimPoint, etc.)

  • Experience with Linux kernel bringup and debug

  • Familiarity with CUDA

  • Experience with CPU/GPU application development and optimization in Pytorch, TensorFlow, and similar frameworks

NVIDIA is a global leader in accelerated computing, delivering breakthroughs in AI, HPC, and advanced system design. Our technologies power transformative applications across industries - from robotics and autonomous vehicles to healthcare and climate research.With the introduction of theGrace CPU Superchip, and more recently, the announcement of the Vera CPU, NVIDIA has expanded into the CPU server market, complementing our world-class GPUs and SoCs. These CPUs play a critical role in orchestrating complex workloads with exceptional performance-per-watt efficiency. The CPU architecture team is driving innovations that integrate seamlessly with NVIDIA's broader technology stack, enabling faster AI model training, agentic use-cases, efficient data processing, and scalable cloud deployments.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until May 11, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993