2

Part Time Nvidia Machine Learning Jobs in Boston, MA

With a passion for high-performance technology, large-scale machine learning, and AI-type algorithms, students become intuitive problem solvers, experienced engineer architects, and results-focused ...

Service Associate

Westborough, MA · On-site

$16 - $20/hr

Westborough MA, Boston Ski and Tennis is hiring part-time service teammates for the upcoming season ... best machines * Learning and mastering ski binding adjustments, leveraging training from our ...

AI Fellow

Cambridge, MA · On-site

$53K - $72K/yr

Studio Employment Type: Part Time Location: Cambridge Description C10 Labs is an AI-focused venture ... machine learning models and algorithms. * Knowledge of cloud platforms (e.g., AWS, Google Cloud ...

next page

Showing results 1-20

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 Jun 21, 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 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 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 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:
What job categories do people searching Part Time Nvidia Machine Learning jobs in Boston, MA look for? The top searched job categories for Part Time Nvidia Machine Learning jobs in Boston, MA are:
Infographic showing various Part Time Nvidia Machine Learning job openings in Boston, MA as of June 2026, with employment types broken down into 1% As Needed, 93% Full Time, 3% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 83% Physical, 8% Hybrid, and 9% Remote job distribution, with an average salary of $46,263 per year, or $22.2 per hour.
Part-Time Lecturer - MPS in Applied Machine Intelligence (Boston)

Part-Time Lecturer - MPS in Applied Machine Intelligence (Boston)

NorthEastern

Boston, MA

$1.5K/wk

Part-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago


Job description

About the Opportunity

Northeastern University's College of Professional Studies invites applicants for a part-time faculty position to teach in the Master or Professional Studies Applied Machine Intelligence, located on-ground and or online in Boston, MA.

The College of Professional Studiesis one of ten colleges of Northeastern University, a nationally ranked private research university. Founded in 1960, the College provides lifelong experiential learning that unleashes the capacities of aspiring individuals in all stages and walks of life. The College teaches undergraduate, graduate, and doctoral students on campus and online in more than 90 programs.

Northeastern University will not provide H-1B, TN, O-1, E-3, or any other type of employment visa sponsorship for the successful applicant to this position, now or in the future. Furthermore, the successful applicant must be able to maintain valid work authorization in the United States throughout the entire appointment without Northeastern University's sponsorship for a visa.

Responsibilities

The Master of Professional Studies in Applied Machine Intelligence is looking for part-time faculty teaching courses across the program with special emphasis on applied machine learning, artificial intelligence, and experiential network addressing the business challenges in the industry.

Instructional areas include, but are not limited to, analytics, with expertise in probability and statistics, data exploration, data visualization, and predictive analytics. The Applied Machine Intelligence degree is a multi-disciplinary, experience-based program that prepares students to innovate within the rapidly growing field of artificial intelligence. Through courses and projects that focus on applied machine learning, artificial intelligence, data management, data analysis, and data visualization, students learn to address business issues in any industry.

Qualifications

Minimum qualification: Terminal degree in an aligned discipline and analytics/artificial intelligence industry experience.

Preference for candidates with a Ph.D. in a sciences field or similar.

Demonstration of teaching, coaching, and/or training is required, with a history of successful teaching (online/on ground) at the graduate level is strongly preferred.

Application Materials

Applicants should submit materials including a cover letter and vitae. In your cover letter, please discuss how you can support our commitment to fostering an inclusive environment for all faculty, staff, and students.

Please direct questions to Shachi Winton (s.winton@northeastern.edu).

Applications will be reviewed until the position is filled.

Position Type

Academic

Additional Information

Northeastern University considers factors such as candidate work experience, education and skills when extending an offer.

Northeastern has a comprehensive benefits package for benefit eligible employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information.

All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law.

Pay Range:

The per credit rate is $1,529