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Remote Nvidia Deep Learning Jobs in Boston, MA (NOW HIRING)

Senior Machine Learning Engineer

Boston, MA · On-site +1

$133K - $175K/yr

Strong understanding of various machine learning algorithms,Large Language Models, and deep ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

Senior Machine Learning Engineer

Boston, MA · Remote

$125K - $165K/yr

Strong understanding of various machine learning algorithms,Large Language Models, and deep ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

Senior Machine Learning Engineer

Boston, MA · On-site +1

$133K - $175K/yr

Strong understanding of various machine learning algorithms,Large Language Models, and deep ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

... deep desire to solve transformational problems at the heart of businesses ... Our signature approach combines groundbreaking machine-learning research with disciplined cloud and ...

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Remote Nvidia Deep Learning information

See Boston, MA salary details

$11.9K

$91.1K

$152.1K

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

As of Jul 26, 2026, the average yearly pay for remote nvidia deep learning in Boston, MA is $91,133.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,200.00 and $151,000.00 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 Boston, MA? For Remote Nvidia Deep Learning jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Remote Nvidia Deep Learning jobs in Boston, MA look for? The top searched job categories for Remote Nvidia Deep Learning jobs in Boston, MA are:
What cities near Boston, MA are hiring for Remote Nvidia Deep Learning jobs? Cities near Boston, MA with the most Remote Nvidia Deep Learning job openings:
Applied Scientist, AI & Deep Learning (mid to senior level)

Applied Scientist, AI & Deep Learning (mid to senior level)

Charles River Analytics

Cambridge, MA • On-site, Remote

$120K - $220K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 days ago


Job description

Charles River Analytics, a GRVTY company, creates solutions and technology to tackle the world's most challenging problems. Our team of technological entrepreneurs works together to push at the forefront of enhanced AI, robotics, smart sensing, and human-centered computing. The resulting research and development help to continuously advance government programs and discover new possibilities in the commercial marketplace. At Charles River, we take great pride in our success at attracting and retaining the most talented and creative problem-solvers in our field. Now as part of GRVTY, we offer the same trusted capabilities with increased organizational depth and expanded capacity across mission-critical national security domains. Are you ready to accelerate our mission-focused innovations? We'd love to hear from you!

We are seeking an Applied Scientist passionate about building next-generation neuro-symbolic AI. In this role, you will be not just applying AI technology but helping to build the next-generation version of that technology. You will be extending the cutting edge of deep learning and machine learning technologies, with novel integration with technologies including symbolic knowledge, probabilistic programming and Bayesian reasoning, automatic program synthesis, combinatoric optimization, and more. You will be collaborating with researchers, engineers, and subject-matter experts to build core technologies and deployable AI solutions solving complex problems with high impact on national security and society.

How you will make a difference: 

  • Design, architect and implement state-of-the-art AI frameworks and solutions
  • Debug, profile, and refine complex AI systems
  • Collaborate with and/or manage software engineers and scientists
  • Lead or contribute to writing reports and papers
  • Foster relationships with customers
  • Develop and manage highly innovative R&D programs

What you need:

  • Bachelor's degree in computer science or related field
  • U.S. Citizenship with the ability to obtain a security clearance 
  • 3+ years experience building ML/AI systems or a completed graduate degree (M.S. or PhD) with academic research experience in ML/AI systems
  • Moderate to advanced proficiency in Python
  • Good fundamental knowledge in probability, multivariable calculus, linear algebra, and related technical areas
  • Familiarity with Linux systems and development
  • Motivated to learn and apply new technologies
  • Ability to accommodate a hybrid schedule (60% onsite 40% remote)

Our preferred candidate has:

  • 5+ years of post graduate experience building AI/ML systems
  • Experience with product deployment
  • Experience as a writer or cowriter to DoD proposals/grants 
  • Demonstrated effectiveness in delivering complex AI / ML solutions to end-users from concept to deployment
  • Demonstrated effectiveness in strategically developing complex AI codebases over months-to-years
  • Broad knowledge across a diversity of computer science research, including programming languages, knowledge representation, reasoning, optimization, robotics, computer vision, etc. a plus

Salary Range

$120,000 - $220,000

The above salary range is an estimate based on the internal job level(s) for which this role is being considered. The final salary will be decided after careful evaluation of the individual's work experience, education, and overall qualifications. This range does not include the substantial total rewards, as listed below, that you will also be eligible for as an employee at Charles River Analytics.

Why Charles River?
Charles River Analytics thrives on collaboration and values each team member. We offer competitive compensation plus bonus and retirement contribution, with an attractive benefits package including 100% employer-paid medical and dental insurance, as well as vision, life, and disability insurance, paid maternity/paternity leave, tuition reimbursement, monthly gym allowance, free parking, generous paid time off, and a casual environment. We offer tremendous flexibility and value work-life balance. We are also accessible by public transportation. Charles River became an employee-owned company in 2012, to set the stage for the next-generation of innovation, service, and growth in R&D. As we entered 2026, we joined forces with GRVTY, gaining the scale and capacity to transition, field, and sustain our innovations faster and more effectively than ever before.