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Part Time Nvidia Machine Learning Jobs in Boston, MA

... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ... Benefits: * This is a full-time or part-time REMOTE position * You'll be able to choose which ...

... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ... Benefits: * This is a full-time or part-time REMOTE position * You'll be able to choose which ...

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Part Time Nvidia Machine Learning information

See Boston, MA salary details

$27.7K

$46.3K

$95.6K

How much do part time nvidia machine learning jobs pay per year?

As of May 28, 2026, the average yearly pay for part time nvidia machine learning in Boston, MA is $46,263.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,300.00 and $50,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Part Time Nvidia Machine Learning Engineer, and why are they important?

To thrive as a Part Time Nvidia Machine Learning Engineer, you need a solid background in machine learning, statistics, and programming (Python or C++), often supported by a relevant degree or coursework. Experience with Nvidia's CUDA, TensorRT, and deep learning frameworks like TensorFlow or PyTorch is typically required. Strong problem-solving skills, adaptability, and effective communication help you collaborate remotely and deliver impactful solutions. Mastery of these skills ensures efficient model development and deployment, leveraging Nvidia technologies to drive innovation in AI projects.

What are some common challenges faced by part-time Nvidia Machine Learning professionals, and how can they be addressed?

Part-time Nvidia Machine Learning professionals often face challenges related to balancing project deadlines with limited working hours, as well as staying updated with rapidly evolving tools and frameworks. Collaborating efficiently with full-time team members and maintaining continuity in long-term projects can also be difficult. To address these challenges, clear communication, regular progress updates, and leveraging collaboration platforms are essential. Additionally, setting realistic goals and proactively seeking support from colleagues can help ensure smooth integration and continued professional development.

What are part-time Nvidia machine learning jobs?

Part-time Nvidia machine learning jobs are positions that involve working with Nvidia’s machine learning technologies, such as CUDA, TensorRT, and GPU-accelerated frameworks, but on a reduced or flexible schedule. These roles often include tasks like developing, optimizing, or testing machine learning models using Nvidia hardware and software. They are suitable for students, professionals seeking flexible hours, or those looking to gain experience in AI and deep learning without committing to a full-time role. Responsibilities can range from research and development to support and implementation of AI solutions.

What is the difference between Part Time Nvidia Machine Learning vs Part Time Data Scientist?

AspectPart Time Nvidia Machine LearningPart Time Data Scientist
Required CredentialsKnowledge of Nvidia tools, programming, basic ML conceptsStatistics, programming, data analysis skills
Work EnvironmentTech companies, research labs, AI startupsBusiness, finance, healthcare, tech firms
Industry UsageAI development, deep learning projectsData analysis, predictive modeling

While both roles involve data and programming, Part Time Nvidia Machine Learning focuses on AI and deep learning using Nvidia tools, whereas Part Time Data Scientist emphasizes data analysis and insights across various industries.

What are the most commonly searched types of Nvidia Machine Learning jobs in Boston, MA? The most popular types of Nvidia Machine Learning jobs in Boston, MA are:
What are popular job titles related to Part Time Nvidia Machine Learning jobs in Boston, MA? For Part Time Nvidia Machine Learning jobs in Boston, MA, the most frequently searched job titles are:
Infographic showing various Part Time Nvidia Machine Learning job openings in Boston, MA as of May 2026, with employment types broken down into 1% Internship, 92% Full Time, 1% Part Time, 3% Temporary, 1% Contract, and 2% Nights. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $46,263 per year, or $22.2 per hour.

Research Scientist, Machine Learning / AI

Basis Research

Cambridge, MA • On-site

Full-time, Part-time

This job post has expired today. Applications are no longer accepted.


Job description

Research Scientist

Research scientists lead Basis' efforts to develop a deeper understanding of the conceptual, mathematical, and computational principles of intelligence.

We are looking for people who are technically excellent, and who value probing concepts at their foundations. Our research scientists/engineers aspire to do rigorous, high-quality, robust science, but are not afraid to tinker, make mistakes, and explore radically different ideas in order to get there.

Basis is a collaborative effort, both internally and with our external partners; we are looking for people who enjoy working with others on problems larger than ones they can tackle alone.

We expect you to:

  • Have demonstrated an ability to do scientific research that is of high-quality. Possible ways to demonstrate this include publications, technical reports, and software projects.

In addition, the following would be an advantage:

  • PhD (or equivalent experience) in technical areas, including: statistics, programming languages, machine learning, computational neuroscience, cognitive science, physics, mathematics.
  • Excited about solving real world problems and having positive societal impact.

Responsibilities

  • Develop and explore computational theories of intelligence, including reasoning, learning, and decision-making.
  • In close collaboration with domain experts inside and especially outside Basis, work as a team member to help solve scientific and societal problems
  • Distill insights from solving problems into more general mathematical and computational theories
  • Develop and maintain open-source software
  • (Optionally) Publish and present findings in journals and conferences
  • Contribute to the culture and direction of Basis

Role Details

Exceptional candidates who may not meet all of the following criteria are still encouraged to apply.

  • FT/PT: This is a full-time position
  • Hours: While we prioritize in-person collaboration for its benefits to creative work, there is a degree of flexibility in your working hours. Be prepared to attend multi-day Basis-wide in-person events.
  • Location: This role is in-person in either New York City or Cambridge, MA.
  • Salary range: Competitive salary and bonuses

Non-Discrimination Notice Basis Research Institute provides equal employment opportunities without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or genetics and prohibits discrimination based on all protected characteristics.

Privacy Notice

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