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Part Time Nvidia Machine Learning Jobs (NOW HIRING)

New York University

Research Scholar

New York, NY · On-site

$27.77/hr

Responsibilities include coding and running machine learning experiments, analyzing and ... This is a part time appointment and would require a work schedule of approximately 27 hours per ...

Implicit

AI Engineer (US-Based / Part-Time)

Solid understanding of NLP, machine learning, and modern deep learning techniques. * Hands-on ... Flexible part-time schedule. * Remote work within the United States. * Flexible vacation policy.

Booz Allen Hamilton, Inc.

Data Engineer

Arlington, VA · On-site

$62K - $141K/yr

... machine learning service * Experience with distributed or parallel programming frameworks, including Apache Spark or NVIDIA CUDA * Experience with infrastructure as code frameworks and services ...

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Part Time Nvidia Machine Learning information

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$25.5K

$42.6K

$88K

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

As of Jul 11, 2026, the average yearly pay for part time nvidia machine learning in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 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.

Can you work from home at NVIDIA?

Part Time NVIDIA Machine Learning roles may offer remote work options depending on the specific position and team. Many companies in the tech industry, including NVIDIA, provide flexible or remote work arrangements for roles involving machine learning and software development, especially if the job involves using tools like GPUs and programming in Python or CUDA. Candidates should review the job listing for remote work policies and requirements.

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 are the entry-level jobs at NVIDIA?

Entry-level jobs at NVIDIA for machine learning include roles such as Software Engineer Intern, Data Analyst, and Research Intern, which typically require foundational knowledge of programming, machine learning frameworks, and relevant coursework. These positions often offer opportunities to develop skills in AI, deep learning, and GPU computing, and may require a bachelor's degree or ongoing education in related fields.

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.

How difficult is it to get hired at NVIDIA?

Getting hired for a part-time Nvidia machine learning role typically requires a strong background in machine learning, programming skills in Python and frameworks like TensorFlow or PyTorch, and relevant experience or education. The hiring process is competitive and often involves technical interviews and assessments to evaluate technical proficiency and problem-solving abilities.
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What states have the most Part Time Nvidia Machine Learning jobs? States with the most job openings for Part Time Nvidia Machine Learning jobs include:
What job categories do people searching Part Time Nvidia Machine Learning jobs look for? The top searched job categories for Part Time Nvidia Machine Learning jobs are:
Part Time Nvidia Machine Learning jobs near you
Infographic showing various Part Time Nvidia Machine Learning job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, 1% Temporary, and 1% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.
Autonomy Engineer, Senior

Autonomy Engineer, Senior

Booz Allen Hamilton, Inc.

Honolulu, HI • On-site

$99K - $225K/yr

Full-time, Part-time

Medical, Life, Retirement, PTO

Re-posted 25 days ago

Booz Allen Hamilton rating

8.8

Company rating: 8.8 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

9th of 58 rated business consultants

Job description


Remote Work:
No
Job Number:
R0238069
Location:
Honolulu,HI,US
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Autonomy Engineer, Senior
The Opportunity:
As an Autonomy and UAS Engineer, you will design, develop, and deploy machine learning models that power intelligent behaviors on unmanned aircraft systems. You will work with advanced autonomy frameworks, including platforms such as Shield AI's Hivemind to build resilient navigation, perception, targeting, and collaborative autonomy capabilities for the Department of Defense.
You will operate at the cutting edge of edge AI, computer vision, reinforcement learning, and real-time embedded systems, helping the military transition from human-in-the-loop control to AI-assisted and autonomous mission execution.
What You'll Do:
  • Design and train machine learning models for perception, object detection, tracking, and classification.
  • Develop reinforcement learning and autonomy algorithms for navigation and mission execution.
  • Implement sensor fusion models combining EO/IR, LiDAR, GPS-denied navigation, and telemetry data.
  • Optimize AI models for deployment on edge compute platforms such as GPU, TPU, and embedded systems.
  • Develop and integrate autonomy behaviors within platforms such as Hivemind.
  • Implement mission planning logic and adaptive decision-making algorithms.
  • Enable collaborative autonomy between multiple UAS platforms.
  • Build simulation-based training pipelines for autonomy validation.
  • Deploy containerized AI models to airborne and ground edge nodes.
  • Optimize inference latency and resource utilization.
  • Conduct hardware-in-the-loop (HIL) and software-in-the-loop (SIL) testing.
  • Develop secure software pipelines aligned to DoD cybersecurity standards.
  • Integrate AI outputs into tactical networks and mission command systems.
  • Implement CI/CD pipelines for rapid model iteration and field updates.

Join us. The world can't wait.
You Have:
  • 3+ years of experience in software engineering, including AI/ML systems
  • Experience with Python and C++
  • Experience with deep learning frameworks, such as PyTorch, TensorFlow, and ONNX
  • Experience building and deploying AI models on edge hardware, such as NVIDIA Jetson, GPUs, and embedded platforms
  • Experience with robotics middleware, such as ROS or ROS2
  • Experience with computer vision or autonomous navigation systems
  • Ability to obtain a Secret clearance
  • Bachelor's degree

Nice If You Have:
  • Experience working in military exercises and war games
  • Ability to support flight testing and operational evaluations
  • Master's degree
  • ML, AI, or Solution Architecture Certification

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
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About Booz Allen Hamilton

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Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914

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