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Remote Ai Math Training Jobs in Portland, OR (NOW HIRING)

Intel

Senior AI Algorithm Engineer in oneDNN

Hillsboro, OR · On-site +1

$195K - $275K/yr

... training throughput on current and nextgeneration Intel platforms. * Develop hardwarespecific ... Enjoy a safe, flexible, and supportive work environment-remote or onsite-focused on employee ...

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Remote Ai Math Training information

What is the difference between Remote Ai Math Training vs Remote Math Tutor?

AspectRemote Ai Math TrainingRemote Math Tutor
CredentialsTypically requires knowledge of AI, machine learning, and mathUsually requires teaching credentials or math expertise
Work EnvironmentOnline, often involving AI platforms and toolsOnline or in-person, focusing on individual or group tutoring
Employer & IndustryEdTech companies, AI training platformsEducational institutions, private tutoring services
Search & Comparison IntentUnderstanding AI-focused math training rolesFinding traditional math tutoring opportunities

Remote Ai Math Training involves teaching math concepts integrated with AI tools and requires knowledge of AI and machine learning. In contrast, Remote Math Tutors focus on traditional math instruction, often requiring teaching credentials. Both roles are primarily online and serve educational purposes, but they differ in technical complexity and industry focus.

What are the main challenges faced by professionals working in remote AI math training roles, and how can they be overcome?

Professionals in remote AI math training often face challenges such as maintaining student engagement through virtual platforms, adapting teaching methods to suit diverse learning styles, and troubleshooting technical issues. To overcome these, it's important to utilize interactive tools, provide personalized feedback, and establish clear communication channels. Regular collaboration with fellow trainers and staying updated on the latest e-learning technologies can also help enhance the remote teaching experience and effectiveness.

What are the key skills and qualifications needed to thrive as a Remote AI Math Trainer, and why are they important?

To thrive as a Remote AI Math Trainer, you need a strong background in mathematics, experience with machine learning concepts, and at least a bachelor’s degree in a related field. Familiarity with programming languages like Python, data annotation tools, and platforms such as TensorFlow or PyTorch is typically required. Excellent communication, attention to detail, and the ability to work independently are crucial soft skills in this remote setting. These competencies ensure accurate training data, effective collaboration with AI development teams, and the delivery of high-quality AI models.

What is a Remote AI Math Trainer?

A Remote AI Math Trainer is a professional who helps train and improve artificial intelligence (AI) models focused on mathematics by providing annotated data, creating math problems, analyzing AI outputs, and offering feedback—all from a remote location. This role often involves reviewing and correcting AI-generated math solutions to ensure accuracy and clarity. Remote AI Math Trainers may also contribute to developing educational tools and resources powered by AI, supporting advances in math learning technologies. The position is suitable for individuals with a strong foundation in mathematics and an interest in AI or machine learning.
What are the most commonly searched types of Ai Math Training jobs in Portland, OR? The most popular types of Ai Math Training jobs in Portland, OR are:
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Senior AI Algorithm Engineer in oneDNN

Senior AI Algorithm Engineer in oneDNN

Intel

Hillsboro, OR • On-site, Remote

$195K - $275K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 11 days ago

Intel rating

8.7

Company rating: 8.7 out of 10

Based on 147 frontline employees who took The Breakroom Quiz

11th of 142 rated electronics manufacturers

Job description

Job Details:Job Description: 

The Software and AI (SAI) organization is seeking a highly skilled Software Development Engineer to contribute to the development and optimization of oneDNN, a complex, crossplatform, opensource performance library for deep learning applications (https://github.com/uxlfoundation/oneDNN).

oneDNN is a critical and highly visible component of Intel's AI strategy, powering industryleading frameworks such as OpenVINO, TensorFlow, PyTorch, ONNX Runtime, and many others.

This is a unique opportunity to work at the intersection of AI algorithms, lowlevel performance engineering, and cuttingedge Intel hardware, enabling stateoftheart neural network performance across CPUs, integrated graphics, and discrete GPUs.

Responsibilities

  • Design, develop, and optimize new features and algorithms for oneDNN targeting Intel processors, Intel Processor Graphics, and Intel discrete GPUs.

  • Perform performance analysis and optimization to achieve bestinclass deeplearning inference and training throughput on current and nextgeneration Intel platforms.

  • Develop hardwarespecific parallel algorithms, including multithreading, vectorization, and memorylayout optimizations.

  • Contribute to assemblylevel programming and low-level performance tuning for Intel microarchitectures.

  • Collaborate with crossfunctional teams across software engineering, architecture, and AI performance to ensure strong integration with Intel's broader AI ecosystem.

  • Engage with the opensource community, participate in code reviews, and maintain high-quality coding and documentation standards.

Why Join Us

  • Work on a global, highimpact opensource AI project used across leading deeplearning frameworks.

  • Influence AI performance across Intel's full hardware roadmap, from CPUs to GPUs.

  • Collaborate with top experts in deep learning, HPC, compilers, and systems optimization.

  • Contribute to technology adopted by millions of developers worldwide.

  • Engage with a highly visible opensource product and the latest Intel hardware generations.

  • Enjoy a safe, flexible, and supportive work environment-remote or onsite-focused on employee wellbeing.

  • Benefit from flexible working hours.

  • Access a comprehensive benefits package: stock program, annual and quarterly bonuses, pension plan, medical and life insurance for you and your family, peertopeer recognition, meal card, Multisport card, holiday card, employee discounts, events, and more.

Qualifications:

Minimum qualifications are required to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.

Minimum Qualifications:

  • BSc, MSc or PhD in Mathematics, Physics, Computer Science or in a related field
  • 5+ years of experience in the following areas:
    • C++
    • Algorithms and data structures, or Mathematical background
    • Low-level Performance Optimizations, preferably on GPUs

Preferred Qualifications:

  • 3 years+ High-performance computing (HPC) applications development
  • 1 year+ Machine learning and deep learning algorithms
  • 1 year+ Agile software development environment
  • 1 year+ Intel development tools.
  • Software libraries design and architecture
  • Background in Linear algebra solvers, matrix-vector operations, or Fast Fourier Transforms
  • Software development on Linux
  • GPU optimizations (OpenCL, CUDA, SYCL/DPC++, C for Metal or similar)
  • Parallel programming (OpenMP, TBB, or MPI)
Job Type:Experienced HireShift:Shift 1 (United States of America)Primary Location: US, Oregon, HillsboroAdditional Locations:US, California, Santa ClaraBusiness group:Silicon and Platform Engineering Group (SPE): Deliver breakthrough silicon and platform solutions that deliver industry-leading products today while also defining the next generation of computing experiences.Posting Statement:All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.Position of TrustN/ABenefits

We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel.

Annual Salary Range for jobs which could be performed in the US: $195,200.00-275,580.00 USDThe range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.

Work Model for this Role

This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.

*

ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.

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About Intel

Sourced by ZipRecruiter

Intel strives to make every facet of semiconductor manufacturing state-of-the-art -- from semiconductor process development and manufacturing, through yield improvement to packaging, final test and optimization, and world class Supply Chain and facilities support. Employees in the Technology and Manufacturing Group are part of a worldwide network of design, development, manufacturing, and assembly/test facilities, all focused on utilizing the power of Moore's Law to bring smart, connected devices to every person on Earth

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1968

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