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Summer Machine Learning Hardware Jobs in Oregon (NOW HIRING)

Agility Robotics

Staff AI Engineer, Perception

Salem, OR · On-site +1

$207K - $323K/yr

Collaborate with navigation, manipulation and hardware teams to align perception capabilities with product requirements Requirements: * 5+ years of experience deploying machine learning-based object ...

New Jersey Institute of Technology

$35.71/hr

Summer Researcher Department: Associate Professor Reports To: Associate Professor Position Summary ... Implement and refine machine learning models, including neural networks and random forests, for ...

Nvidia

Senior Solutions Architect, Supercomputing

OR · On-site +1

... hardware and software. NVIDIA's platforms for machine learning, deep learning and high-performance computing have already made a major impact and are broadly used across leading companies and start ...

Nvidia

Senior Solutions Architect, Energy Sector

OR · On-site +1

... hardware and software. NVIDIA's platforms for machine learning, deep learning and high-performance computing have already made a major impact on the energy sector and are broadly used across leading ...

Nvidia

Senior System Software Engineer, ML and Vector Search

OR · On-site +1

$122K - $161K/yr

Vector search is an exciting new field at the intersection of database and machine learning. You'll ... HPC, Cloud, etc Strong debugging skills, including for complex multi-language, multi-hardware ...

Nvidia

Senior Math Libraries Engineer - AI and HPC

OR · On-site +1

$104K - $143K/yr

Good understanding of Machine Learning and Deep Learning technologies as well as knowledge of GPU (preferred) or CPU hardware architecture. Experience with low level programming using assembly for ...

Apple Inc.

SRAM Circuit Design Engineer

Beaverton, OR · On-site

Description Imagine yourself at the center of our hardware development effort. Where you will ... Machine Learning algorithms (ML) and scripting is a big plus. Apple is an equal opportunity ...

Nvidia

Senior High Performance AI Engineer, Agentic AI

OR · On-site +1

$122K - $161K/yr

You will collaborate closely with internal NVIDIA software, model, and hardware teams to bring new ... systems, machine learning, compilers, high-performance computing, or related areas. Hands-on ...

New

OSARO

Deployment Engineer

OR · On-site +1

$100K - $140K/yr

We have a highly international team made up of expert machine learning practitioners and dedicated software and hardware engineers which matches well with the global nature of our business. We are ...

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All JobsSummer Machine Learning Hardware JobsSummer Machine Learning Hardware Jobs in Oregon

Summer Machine Learning Hardware information

What is the difference between Summer Machine Learning Hardware vs Summer Data Scientist?

AspectSummer Machine Learning HardwareSummer Data Scientist
Required CredentialsBachelor's or Master's in Computer Science, Electrical Engineering, or related fields; knowledge of hardware design and programmingBachelor's or Master's in Data Science, Statistics, or related fields; proficiency in data analysis and programming
Work EnvironmentHardware labs, R&D centers, tech companies focusing on AI hardwareOffice settings, research labs, tech companies analyzing data and building models
Industry UsageAI hardware development, embedded systems, hardware acceleration for MLData analysis, predictive modeling, AI application development

Summer Machine Learning Hardware roles focus on designing and optimizing hardware for machine learning applications, requiring technical skills in hardware engineering. In contrast, Summer Data Scientist positions involve analyzing data, building models, and deriving insights. Both roles are essential in AI development but differ in their technical focus and work environment.

Staff AI Engineer, Perception

Salem, OR • On-site, Remote

Agility Robotics
Industrial Automation Equipment Manufacturing • 51 - 200 employees
Learn more about Agility Roboticsexternal

$207K - $323K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 24 days ago

Job description

Agility's commercially deployed humanoids operate alongside teams in warehouses, manufacturing facilities, and distribution centers-tackling physically demanding and repetitive tasks while enabling workers to focus on higher-value work. With industry-leading safety standards and years of proven deployment data, we're pioneering a new era of automation that enhances human potential.
Agility Robotics is deploying humanoid robots that are solving real-world challenges in logistics and manufacturing. Perceiving and understanding the world is critical to Digit's success in these applications. The Perception team is looking for a staff machine learning engineer to own the design and development of object detection and tracking algorithms.
Responsibilities:
  • As a Staff AI Engineer, you will own the architecture and technical roadmap for object perception systems used by the robot in production
  • Design, develop, and deploy machine learning algorithms for multi-object detection, scene understanding, and 6-DoF object pose estimation
  • Evaluate and drive adoption of state-of-the-art perception models
  • Promote best practices in architecture, design, and testing to deliver high-quality, scalable software
  • Optimize deep neural networks and associated data processing to run efficiently on embedded systems
  • Collaborate with navigation, manipulation and hardware teams to align perception capabilities with product requirements

Requirements:
  • 5+ years of experience deploying machine learning-based object detection algorithms on mobile robots
  • Master's or Ph.D. in Artificial Intelligence, Robotics, Computer Science, or a related discipline, with a strong foundation in machine learning, robotics, and intelligent systems
  • Proficiency in related technical areas such as (but not limited to) deep convolutional neural networks, multi-object tracking, data association, supervised learning and pose estimation
  • Strong mathematical fundamentals in linear algebra and numerical optimization and familiarity with core geometric concepts in computer vision
  • Familiarity with common computer vision and machine learning libraries such as (but not limited to) PyTorch, OpenCV, NumPy, etc.
  • Experience designing and optimizing algorithms for efficient execution across CPU and GPU architectures
  • Experience with MLOps such as (but not limited to) data annotation services, data storage, model evaluation tools, and model deployment
  • Publications in your field (CVPR, ICCV, RSS, ICRA preferred)

Bonus Qualifications:
  • Experience using YOLO, Faster/Mask R-CNN
  • Experience developing ML models for 3 or 6 dof pose estimation
  • Experience in a technical leadership role

This a hybrid position based out of one of our Salem, Pittsburgh, or Fremont offices.
The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to: market location, job-related knowledge, skills, and experience. This range may change based on geographical location and may be modified in the future.
Anticipated Salary Range
$207,000-$323,000 USD
In addition to base pay, our competitive total rewards package consists of the following for full-time employees:
  • 401(k) Plan: Includes a 6% company match.
  • Equity: Company stock options.
  • Insurance Coverage: 100% company-paid medical, dental, vision, and short/long-term disability insurance for employees.
  • Benefit Start Date: Eligible for benefits on your first day of employment.
  • Well-Being Support: Employee Assistance Program (EAP).
  • Time Off:
    • Exempt Employees: Flexible, unlimited PTO and 12 company holidays, including a winter shutdown.
    • Non-Exempt Employees: 10 vacation days, paid sick leave, and 12 company holidays, including a winter shutdown, annually.
  • On-Site Perks: Catered lunches four times a week and a variety of healthy snacks and refreshments at our Salem and Pittsburgh locations.
  • Parental Leave: Generous paid parental leave programs.
  • Work Environment: A culture that supports flexible work arrangements.
  • Growth Opportunities: Professional development and tuition reimbursement programs.
  • Relocation Assistance: Provided for eligible roles.
  • Annual Discretionary Bonus: Provided for eligible roles.

All of our roles are U.S.-based. Applicants must have current authorization to work in the United States.
Agility Robotics is committed to a work environment in which all individuals are treated with respect and dignity. Each individual has the right to work in a professional atmosphere that promotes equal employment opportunities and prohibits unlawful discriminatory practices, including harassment. Therefore, it is the policy of Agility Robotics to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, age, disability, marital status, citizenship, national origin, genetic information, or any other characteristic protected by law. Agility Robotics prohibits any such discrimination or harassment.
Agility Robotics does not accept unsolicited referrals from third-party recruiting agencies. We prioritize direct applicants and encourage all qualified candidates to apply directly through our careers page. If you are represented by a third party, your application may not be considered. To ensure full consideration, please apply directly.

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