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Embedded Machine Learning Internship Jobs in Oregon

Nvidia

OR · On-site

$104.40K - $143.40K/yr

GPU Deep Learning has provided the foundation for machines to learn, perceive, reason and solve ... Hands-on experience in developing and deploying DNN-based solutions to embedded platforms for real ...

SentinelOne

OR · On-site

We value curiosity, experimentation, and a commitment to continuous learning. What will you do? As ... Interns can learn about the network security industry from leading thinkers, grow their ...

Deegit Inc

DSP Algorithms Engineer

Hillsboro, OR · On-site

$155.70K - $181.90K/yr

... point embedded software. Creative problem solver, team player Qualifications Proficient in DSP theory, scientific programming, adaptive filtering, machine learning, GMM, clustering and neural ...

Netflix

OR

In this role, you will be embedded within this team while collaborating very closely with a ... The Role We are seeking a Machine Learning Scientist to lead the research and development of Large ...

Nvidia

OR

$15 - $20/hr

Integrating various classical machine learning methods for identifying high-performance code ... Our internship hourly rates are a standard pay based on the position, your location, year in school ...

Nvidia

OR

$104.40K - $143.40K/yr

We are seeking a Machine Learning Compiler Engineer with deep expertise in compiler technologies to ... Expertise in developing and deploying AI/ML solutions to production environments and embedded ...

Guidehouse

OR · On-site

$113K - $188K/yr

Design and develop machine learning models and analytical approaches to support search, discovery ... embedded analytics platforms). * Understanding of model evaluation, validation, and performance ...

eNett

OR

$35 - $43/hr

You are a highly motivated researcher with a passion for applying cutting-edge AI, Machine Learning, and software engineering to create tangible business value. This is a project-based internship.

WEX

OR

$35 - $43/hr

You are a highly motivated researcher with a passion for applying cutting-edge AI, Machine Learning, and software engineering to create tangible business value. This is a project-based internship.

Nationwide

Specialist, Analytic Scientist

OR · On-site +1

Demonstrated experience (typically 3+ years) applying statistical and machine learning techniques ... Leads interns as assigned. Typical Skills and Experiences: Education: Preferred undergraduate or ...

Agility Robotics

Staff AI Engineer, Perception

Salem, OR · On-site

$207K - $323K/yr

The Perception team is looking for a staff machine learning engineer to own the design and ... Optimize deep neural networks and associated data processing to run efficiently on embedded systems

Agility Robotics

Staff AI Engineer, Perception

Salem, OR · On-site +1

$207K - $323K/yr

The Perception team is looking for a staff machine learning engineer to own the design and ... Optimize deep neural networks and associated data processing to run efficiently on embedded systems

Cotiviti

$32 - $40/hr

Overview This internship centers on researching and developing advanced healthcare informatics ... Hands-on experience with working with Machine Learning and Deep Learning models. Experience with ...

Conversica

Software Engineer (AI Platform)

OR · On-site +1

Internship or project experience building backend applications * Experience working with APIs, data pipelines, or distributed systems * Personal or academic projects involving AI or machine learning ...

Apple

SerDes Micro Architect

Beaverton, OR

... Machine Learning concepts Experience in firmware or embedded software development is a plus Minimum Qualifications BS degree in technical discipline with minimum 10 years of relevant experience.

Nvidia

OR

$122.40K - $161.30K/yr

The ideal candidate brings broad experience across machine learning, including reinforcement ... Proven track record of deploying AI/ML solutions in production and embedded environments. * Strong ...

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Embedded Machine Learning Internship information

What are the key skills and qualifications needed to thrive as an Embedded Machine Learning Intern, and why are they important?

To thrive as an Embedded Machine Learning Intern, you need a background in computer science, electrical engineering, or a related field with strong programming skills in C/C++ and Python, as well as foundational knowledge of machine learning algorithms. Experience with embedded systems development tools (such as ARM Cortex, Raspberry Pi, or Arduino), version control systems, and familiarity with ML frameworks like TensorFlow Lite or Edge Impulse is often required. Analytical thinking, problem-solving ability, and effective teamwork are vital soft skills for success in this role. These skills and qualities are crucial for efficiently developing, optimizing, and deploying machine learning solutions on resource-constrained embedded platforms.

What are some typical projects or tasks I might work on during an Embedded Machine Learning Internship?

During an Embedded Machine Learning Internship, you can expect to work on projects such as optimizing machine learning models to run efficiently on hardware with limited resources, integrating AI algorithms into embedded systems (like microcontrollers or IoT devices), and performing real-time data processing. You'll likely collaborate closely with software engineers and hardware designers to test models on physical devices, debug performance issues, and contribute to documentation. These experiences provide practical exposure to the challenges of deploying AI in real-world, resource-constrained environments and help build skills valuable for a future career in embedded AI.

What is an Embedded Machine Learning Internship?

An Embedded Machine Learning Internship is a temporary position designed for students or recent graduates to gain hands-on experience in developing and deploying machine learning algorithms on embedded systems. These internships typically involve working with hardware such as microcontrollers, sensors, or edge devices, and using specialized tools to optimize machine learning models for low-power and resource-constrained environments. Interns collaborate with engineers and data scientists to create efficient, real-world AI solutions that run directly on devices rather than relying on cloud computing. This role helps bridge the gap between theoretical machine learning concepts and practical implementation on embedded platforms.
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Embedded Machine Learning Internship jobs near you
Senior Machine Learning Engineer, Perception - Autonomous Driving

Senior Machine Learning Engineer, Perception - Autonomous Driving

Nvidia

On-site

$104.40K - $143.40K/yr

Full-time

Posted 13 days ago

Job description

Intelligent machines powered by Artificial Intelligence computers that can learn, reason and interact with people are no longer science fiction. GPU Deep Learning has provided the foundation for machines to learn, perceive, reason and solve problems. Now, NVIDIA's GPU runs Deep Learning algorithms, simulating human intelligence, and acts as the brain of computers, robots and self-driving cars that can perceive and understand the world.

We are now looking for an extraordinary Senior Perception Engineer to develop and productize NVIDIA's autonomous driving solutions. As a member of our perception team, you will be driving E2E solutions for perception modules that are responsible for online mapping - including road layouts, lane structures, boundaries, crosswalks, and other traffic components critical for driving without reliance on HD maps. You will be challenged to improve robustness and accuracy as well as efficiency of the solutions to fully enable autonomous driving anywhere and anytime.

What You'll Be Doing:

  • Designing end2end solutions for Perception and AV stack to enable road network detections across various driving environments from complex intersections to rural curvy roads to multi-level highways.

  • Applied research and development of innovative deep learning models for lane graph construction, road boundary detection, traffic element recognition, and other static-world tasks.

  • Develop generalizable approaches to support diverse ODDs and Country/region expansion

  • Drive and prioritize data-driven development by working with large data collection and labeling teams to bring in high value data to improve perception system accuracy. Efforts will include data collection prioritization and planning, labeling prioritization, labeling efficiency optimization, so that value of data is maximized

  • Leverage data simulation and augmentation for solving extreme scenarios

  • Productize the developed perception solutions by meeting product requirements for safety, latency, and SW robustness.

What We Need to See:

  • Minimum Requirement: PhD with 4+ years, MS with 6+ years, or BS (or equivalent experience) with 8+ years of relevant experience in Computer Science, Computer Engineering, or a related technical field.

  • 2+ years of technical leadership demonstrating high technical and organizational complexity is a big plus.

  • Hands-on work experience in developing deep learning and algorithms to solve sophisticated real world problems, and proficiency in using deep learning frameworks (e.g., PyTorch).

  • Experience in data-driven development and collaboration with data and ground truth teams.

  • Strong programming skills in python and/or C++.

  • Outstanding communication and teamwork skills as we work as a tightly-knit team, always discussing and learning from each other.

Ways to Stand Out from the Crowd:

  • Proven expertise in developing generalizable perception solutions for autonomous driving or robotics using deep learning with cameras.

  • Hands-on experience in developing and deploying DNN-based solutions to embedded platforms for real time applications.

  • Proven expertise in deep learning backed up by technical publications in leading conferences/journals.

  • Expertise with Transformers, BEV architectures, and modern static-world perception techniques.Experience in working on similar online mapping and complex road detection problems is a big plus.

Intelligent machines powered by AI are no longer science fiction. GPU Deep Learning has made it possible for self-driving cars to learn, perceive, and reason about the world. NVIDIA GPUs power the algorithms that enable both static world understanding and scalable perception across global road systems. Join us and help define the future of reliable, data-driven autonomous driving.

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 April 12, 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.
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

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