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Remote Machine Learning Architect Jobs in Orem, UT

Act as the security voice in developer architecture meetings. Partner with engineering teams to ... Administer the security awareness learning modules (RF Academy) and lead internal initiatives to ...

Act as the security voice in developer architecture meetings. Partner with engineering teams to ... Administer the security awareness learning modules (RF Academy) and lead internal initiatives to ...

Senior Full Stack Engineer Remote- Utah About Us Canopy is a fast-growing SaaS company in South ... Interested in learning more about Canopy & the industry? Check out our blog here where you can find ...

This position is remote eligible for candidates who currently reside in Utah. Click here to see why ... Interested in learning more about Canopy & the industry? Check out our blog here where you can find ...

Interested in learning more about Canopy & the industry? Check out our blog here where you can find ... This position is remote eligible for candidates who currently reside in Utah. What You'll Do ...

... and learning, crave a fast-paced startup environment and never compromise their integrity. As a ... Our Preference is fully on-site in our Lehi, Utah office, but we are open to hybrid or remote for ...

... and learning, crave a fast-paced startup environment and never compromise their integrity. As a ... Our Preference is fully on-site in our Lehi, Utah office, but we are open to hybrid or remote for ...

Interested in learning more about Canopy & the industry? Check out our blog here where you can find ... Architect & Innovate: Serve as the Lead IC for the Platform Squad, designing and scaling global ...

Partner with System Architects to deliver products and services that seamlessly fit into a greater ... remote or hybrid teams * Foster industry best practices and technology decision making from the ...

Partner with System Architects to deliver products and services that seamlessly fit into a greater ... remote or hybrid teams * Foster industry best practices and technology decision making from the ...

Company Description Cricut ® makes smart cutting machines that work with an easy-to-use app, an ... Reinforce a learning mindset: Participate in user research and A/B testing, advocate for our users ...

Showing results 21-40

Remote Machine Learning Architect information

See Orem, UT salary details

$40.4K

$111.9K

$175.2K

How much do remote machine learning architect jobs pay per year?

As of Aug 6, 2026, the average yearly pay for remote machine learning architect in Orem, UT is $111,936.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,100.00 and $144,300.00 per year, depending on experience, location, and employer.

How does a remote machine learning architect typically collaborate with distributed teams to deliver successful projects?

As a Remote Machine Learning Architect, effective collaboration with globally distributed teams is essential. You will often coordinate with data scientists, software engineers, and business stakeholders via virtual meetings, shared documentation, and project management tools. Regular communication, clear documentation of model designs, and version control practices are crucial to ensure alignment and smooth integration of machine learning solutions. Adopting agile methodologies and being proactive in addressing time zone differences help maintain project momentum and foster a productive team environment.

What is the difference between Remote Machine Learning Architect vs Data Scientist?

AspectRemote Machine Learning ArchitectData Scientist
Required CredentialsMaster's or PhD in CS, AI, or related fields; certifications in ML frameworksMaster's in Data Science, Statistics, or related; certifications in data analysis tools
Work EnvironmentDesigning ML systems, collaborating with engineering teams, remote or on-siteAnalyzing data, building models, often remote or in-office
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

Remote Machine Learning Architects focus on designing and implementing scalable ML systems, while Data Scientists analyze data and build models. Both roles require advanced degrees and often overlap in skills, but their core responsibilities differ in scope and focus.

What is a remote machine learning architect?

A Remote Machine Learning Architect is a professional who designs, builds, and oversees machine learning systems and infrastructure while working remotely. They collaborate with data scientists, engineers, and stakeholders to define system architecture, select appropriate algorithms, and ensure scalable deployment of machine learning models. Their responsibilities include setting technical standards, optimizing workflows, and ensuring integration with existing IT infrastructure, all accomplished through remote communication and collaboration tools. This role requires strong expertise in machine learning, cloud platforms, and software engineering.

What are the key skills and qualifications needed to thrive as a remote machine learning architect, and why are they important?

To thrive as a Remote Machine Learning Architect, you need deep expertise in machine learning algorithms, model development, and a solid background in computer science or related fields, often supported by an advanced degree. Familiarity with cloud platforms (such as AWS, Azure, or GCP), deep learning frameworks (like TensorFlow or PyTorch), and relevant certifications are typically expected. Strong problem-solving, communication, and project management skills help you collaborate effectively with distributed teams and stakeholders. These skills and qualities are crucial for designing scalable ML solutions that drive business value in a remote work environment.
What are popular job titles related to Remote Machine Learning Architect jobs in Orem, UT? For Remote Machine Learning Architect jobs in Orem, UT, the most frequently searched job titles are:

Research Intern on Generative and Protective AI for Content Creation

Sony

Orem, UT • On-site, Remote

$50/hr

Full-time

Posted 5 days ago


Job description

Sony AI America, a branch of Sony AI, is a remotely distributed organization spread across the U.S. and Canada. Sony AI is Sony's new research organization pursuing the mission to use AI to unleash human creativity. Sony AI works closely with Sony's other business units, including Sony Interactive Entertainment LLC., Sony Pictures Entertainment Inc., and Sony Music Entertainment. With some 900 million Sony devices in hands and homes worldwide today, a vast array of Sony movies, television shows and music, and the PlayStation Network, Sony creates and delivers more entertainment experiences to more people than anyone else on earth. To learn more: https://ai.sony/

Position Summary

Sony AI is seeking research interns who are passionate about ML-based technologies that are useful in movie , game , and music creation, as well as technologies for the ethical operations of generative AIs. Our mission is to research and develop technologies for various Sony Group products and for scientific publication. The technologies developed during the internship will have the potential to be applied in film, game , and music production across entertainment studios worldwide.

Responsibilities

As a research intern, you will investigate and apply novel algorithms related to:

  • The generation and editing of video, sound, and 3D visual geometry (including 3D human motion).
  • The analysis and alleviation of ethical flaws in generative models, including techniques for memorization detection and mitigation, concept erasure, and data attribution.

Your goal will be to publish your findings in a top-tier conference. You are expected to be self-motivated and to implement innovative ideas using your research, coding, and problem-solving skills. You will receive support from internal scientists and engineers in your efforts.

Required Qualifications

  • Master's degree in Computer Science , Electrical Engineering, Applied Mathematics, or related fields.
  • Proven knowledge and expertise in generative AI applications, including deep generative modeling, computer vision, and audio signal processing.
  • Strong analytical and programming skills in deep learning using frameworks and tools for machine learning (e.g., PyTorch ) and visualization (e.g., TensorBoard ).
  • Experience in research communities, including published papers at top-tier conferences such as CVPR, ICCV, ECCV, NeurIPS , ICLR, and ICML.
  • Excellent communication and presentation skills.

Preferred Qualifications

  • Currently enrolled in a relevant Ph.D. program in fields such as Computer Science, Electrical Engineering, Applied Mathematics, or related disciplines.

Working Location

Location flexible (Tokyo, NYC, remote)

The target hourly rate for this internship is $50.00 per hour. The individual will be paid hourly and eligible for overtime .

LI-AS1

All qualified applicants will receive consideration for employment without regard to any basis protected by applicable federal, state, or local law, ordinance, or regulation.

Disability Accommodation for Applicants to Sony Corporation of America Sony Corporation of America provides reasonable accommodation for qualified individuals with disabilities and disabled veterans in job application procedures. For reasonable accommodation requests, please contact us by email at careers@sonyusa.com or by mail to: Sony Corporation of America, People Experience Department, 25 Madison Avenue, New York, NY 10010. Please indicate the position you are applying for.

We are aware that unauthorized individuals or organizations may attempt to solicit personal information or payments from job applicants by impersonating our company through fraudulent job postings. We take these matters seriously but cannot control third-party websites. To protect your personal information, please verify that any job posting you respond to also appears on our official Careers page: www.sonyjobs.com . Please also be advised that we never request personal identifying information (such as Social Security numbers, bank details, or copies of identification documents) during the initial stages of our application process. If you have any doubts about the authenticity of a job posting or communication, please contact careers@sonyusa.com before submitting any information.

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