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Remote Nvidia Deep Learning Jobs in Saco, ME (NOW HIRING)

Proven experience in digital marketing, with a deep understanding of various marketing channels and ... Continuous Learning: * A commitment to ongoing learning and professional development in growth ...

Proven experience in digital marketing, with a deep understanding of various marketing channels and ... Continuous Learning: * A commitment to ongoing learning and professional development in growth ...

Proven experience in digital marketing, with a deep understanding of various marketing channels and ... Continuous Learning: * A commitment to ongoing learning and professional development in growth ...

Head of Marketing - AI Focus

Portland, ME ยท On-site +1

$175K - $225K/yr

Deep experience across digital, content, ABM, product marketing, events, and customer marketing ... match, remote work stipend, Learning & Development fund, and flexible vacation and PTO.

Head of Marketing - AI Focus

Portland, ME ยท On-site +1

$175K - $225K/yr

Deep experience across digital, content, ABM, product marketing, events, and customer marketing ... match, remote work stipend, Learning & Development fund, and flexible vacation and PTO.

Technical Lead, Data Analytics

Portland, ME ยท On-site +1

$100K - $140K/yr

Remote Compensation: $100,000 - $140,000 / year Description Technical Lead | SQL | Snowflake ... Deep expertise with relational databases and cloud data platforms (Snowflake, Databricks, SQL ...

Personal Lines Client Service Manager

Portland, ME ยท Remote

$39K - $53K/yr

Introduction Welcome to Gallagher - a global community of people who bring bold ideas, deep ... While this role is not currently open, it is fully remote, and we welcome the opportunity to ...

Current remote and field-based Unum employees may apply and will be considered in accordance with ... Deep expertise in at least two of the following skillsets preferred; and competency in the other:

Deep expertise with relational databases and cloud data platforms (Snowflake, Databricks, SQL ... AI or machine learning technologies At Arkatechture, you'll work alongside curious, collaborative ...

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Remote Nvidia Deep Learning information

See Saco, ME salary details

$11.5K

$87.8K

$146.6K

How much do remote nvidia deep learning jobs pay per year?

As of Aug 9, 2026, the average yearly pay for remote nvidia deep learning in Saco, ME is $87,832.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,400.00 and $145,500.00 per year, depending on experience, location, and employer.

What is the difference between Remote Nvidia Deep Learning vs Remote Machine Learning Engineer?

AspectRemote Nvidia Deep LearningRemote Machine Learning Engineer
Required CredentialsDeep learning certifications, Nvidia GPU expertise, programming skills in Python and CUDAMachine learning certifications, Python, data analysis, model deployment skills
Work EnvironmentRemote, GPU-intensive tasks, AI research, model trainingRemote, data processing, model development, deployment
Industry UsageAI research labs, tech companies, autonomous vehiclesTech firms, finance, healthcare, e-commerce

Remote Nvidia Deep Learning focuses on developing AI models using Nvidia GPUs and CUDA, often in research or AI-specific roles. Remote Machine Learning Engineers work on building and deploying machine learning models across various industries. While both roles require programming and data skills, Nvidia Deep Learning emphasizes GPU expertise and AI research, whereas Machine Learning Engineers focus on broader model deployment and application.

What are popular job titles related to Remote Nvidia Deep Learning jobs in Saco, ME? For Remote Nvidia Deep Learning jobs in Saco, ME, the most frequently searched job titles are:
Infographic showing various Remote Nvidia Deep Learning job openings in Saco, ME as of July 2026, with employment types broken down into 1% As Needed, 70% Full Time, 21% Part Time, 1% Temporary, and 7% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $87,832 per year, or $42.2 per hour.

Research Intern on Generative and Protective AI for Content Creation

Sony

South Portland, ME โ€ข On-site, Remote

$50/hr

Full-time

Posted 9 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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