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Internship Research Assistant Machine Learning Jobs in Nevada

Motional

Machine Learning Systems Engineer

Las Vegas, NV · On-site +1

You will work at the intersection of machine learning research and high-performance systems engineering. Your work will directly impact our ability to scale large-scale distributed model training and ...

Bespoke Labs

Machine Learning Engineer

Carson City, NV · On-site

About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

Bespoke Labs

Machine Learning Engineer

Sparks, NV · On-site

About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

Bespoke Labs

Machine Learning Engineer

Las Vegas, NV · On-site

About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

Bespoke Labs

Machine Learning Engineer

Henderson, NV · On-site

About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

Motional

Machine Learning Systems Engineer

Las Vegas, NV · On-site +1

$144K - $192K/yr

You will work at the intersection of machine learning research and high-performance systems engineering. Your work will directly impact our ability to scale large-scale distributed model training and ...

Motional

Machine Learning Systems Engineer

Las Vegas, NV · On-site

$144K - $192K/yr

You will work at the intersection of machine learning research and high-performance systems engineering. Your work will directly impact our ability to scale large-scale distributed model training and ...

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All JobsInternship Research Assistant Machine Learning JobsInternship Research Assistant Machine Learning Jobs in Nevada

Internship Research Assistant Machine Learning information

What are the big 4 internships?

The 'Big 4' internships typically refer to internship programs offered by the four largest professional services firms: Deloitte, PricewaterhouseCoopers (PwC), Ernst & Young (EY), and KPMG. These firms offer internships in areas such as consulting, audit, tax, and advisory, providing valuable experience for aspiring professionals, including those interested in roles like Internship Research Assistant in machine learning if related to data analysis or consulting projects. Securing these internships often requires strong academic performance, relevant skills, and competitive application processes.

Which 5 jobs will survive AI?

For an Internship Research Assistant in Machine Learning, roles that involve complex problem-solving, creativity, and human judgment—such as research scientist, data scientist, AI ethicist, machine learning engineer, and technical project manager—are more likely to persist despite AI advancements. These positions require specialized skills, critical thinking, and collaboration that are difficult for AI to fully replicate. Continuous learning and expertise in tools like Python, TensorFlow, or PyTorch enhance job security in this field.

How to get an AI ML internship?

To secure an AI ML internship, candidates should develop strong programming skills in languages like Python, gain experience with machine learning frameworks such as TensorFlow or PyTorch, and build a portfolio of relevant projects. Applying through company career portals, leveraging university connections, and demonstrating knowledge of data analysis and algorithms can improve chances. Internships often require a background in computer science, mathematics, or related fields, and may involve technical assessments or interviews.

What is the difference between Internship Research Assistant Machine Learning vs Research Assistant Data Science?

AspectInternship Research Assistant Machine LearningResearch Assistant Data Science
Required CredentialsUndergraduate or graduate in CS, AI, or related fieldsUndergraduate or graduate in CS, Statistics, or related fields
Work EnvironmentAcademic labs, research institutions, tech companiesAcademic institutions, research centers, industry
Employer & Industry UsageUniversities, research firms, tech companies focusing on AI/MLUniversities, research organizations, data-driven industries
Common Search & ComparisonYesYes

The Internship Research Assistant Machine Learning and Research Assistant Data Science roles share similarities in educational background and work environments. However, the Machine Learning position emphasizes AI and ML-specific skills, while Data Science focuses more on statistical analysis and data management. Both roles are common in academic and industry settings, often compared by students and professionals exploring research opportunities in data-driven fields.

How much do ML interns get paid?

Machine Learning internship research assistants typically earn between $15 and $30 per hour, depending on the company, location, and level of experience. Paid internships often include opportunities to work with tools like Python and TensorFlow and may be full-time or part-time during the summer or academic year.
What are popular job titles related to Internship Research Assistant Machine Learning jobs in Nevada? For Internship Research Assistant Machine Learning jobs in Nevada, the most frequently searched job titles are:
What job categories do people searching Internship Research Assistant Machine Learning jobs in Nevada look for? The top searched job categories for Internship Research Assistant Machine Learning jobs in Nevada are:
What cities in Nevada are hiring for Internship Research Assistant Machine Learning jobs? Cities in Nevada with the most Internship Research Assistant Machine Learning job openings:
Internship Research Assistant Machine Learning jobs near you
Infographic showing various Internship Research Assistant Machine Learning job openings in Nevada as of June 2026, with employment types broken down into 91% Full Time, 8% Part Time, and 1% Nights. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution.
Machine Learning Systems Engineer

Machine Learning Systems Engineer

Motional

Las Vegas, NV • On-site, Remote

Other

Posted 17 days ago

Job description

Mission Summary:

We are looking for a Machine Learning Systems Engineer to join our ML Acceleration team. In this role, you will be responsible for the core systems that enable our researchers to train frontier models at scale, focusing obsessively on speed, cost, reliability, and throughput. You will work at the intersection of machine learning research and high-performance systems engineering. Your work will directly impact our ability to scale large-scale distributed model training and reduce the time-to-convergence for our next generation of models.

What you'll be doing:

  • Performance Profiling & Optimization: Utilize profiling tools (e.g., Nsight, PyTorch Profiler) to identify bottlenecks in data loading, gradient computation, and communication. Implement optimizations like kernel fusion, sharding, and tiling to improve step time.
  • Distributed Training: Optimize distributed training pipelines using frameworks such as PyTorch Distributed.
  • Kernel Development: Design and maintain high-performance GPU kernels in Triton or CUDA for state-of-the-art ML workloads.
  • Data Pipeline Engineering: Optimize robust data loading pipelines that maximize training throughput.

What we're looking for:

  • Education: Bachelor's, Master's degree, or PhD in Computer Science, Computer Engineering, or a related technical discipline.
  • Software Engineering: Strong proficiency in Python.
  • ML Frameworks: Extensive hands-on experience with PyTorch.
  • ML Knowledge: Experience optimizing machine learning model execution during training and inference, alongside a strong understanding of fundamental machine learning concepts, architectures, and processes.
  • Problem Solving: Exceptional analytical and problem-solving skills, with a bias for action and a data-driven approach to technical challenges.

We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.

Apply