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Internship Research Assistant Machine Learning Jobs in Arizona

Waabi

Research Scientist, Simulation Agents

Phoenix, AZ · On-site +1

$158K - $269K/yr

Qualifications: - Masters/PhD in machine learning, computer science, engineering, or a related ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

Waabi

Research Scientist, Simulation Agents

Phoenix, AZ · On-site +1

$158K - $269K/yr

Qualifications: - Masters/PhD in machine learning, computer science, engineering, or a related ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

Waabi

Research Scientist, Learnable Planner

Phoenix, AZ · On-site +1

$158K - $269K/yr

Qualifications: - MS/PhD degree in Computer Science, AI, Machine Learning, Computer Vision ... internships, work experience, research projects, and papers at top conferences. - Strong ...

Axon

Senior Machine Learning Scientist

Scottsdale, AZ

$92K - $125K/yr

As a key member of our research and development efforts, you will play a crucial role in advancing ... in computer vision, machine learning, and deep learning, MLLMs, GenAI and integrate relevant ...

Waabi

Research Scientist, Learnable Planner

Phoenix, AZ · On-site +1

$158K - $269K/yr

Qualifications: - MS/PhD degree in Computer Science, AI, Machine Learning, Computer Vision ... internships, work experience, research projects, and papers at top conferences. - Strong ...

Exponent Inc.

Research Assistant

Phoenix, AZ

$18.25 - $25/hr

Plus, we help you grow your career through mentoring, sponsorship, and a culture of learning ... D.s * 90+ Disciplines * 30+ Offices globally We are currently seeking Research Assistants for our ...

Exponent Inc.

Research Assistant

Phoenix, AZ

$18.25 - $25/hr

Plus, we help you grow your career through mentoring, sponsorship, and a culture of learning ... Research Assistants for our Data Sciences Practice in Phoenix, AZ . In this role, you will work as ...

Exponent Inc.

Research Assistant

Phoenix, AZ · On-site

$18.25 - $25/hr

Plus, we help you grow your career through mentoring, sponsorship, and a culture of learning ... Research Assistants for our Data Sciences Practice in Phoenix, AZ . In this role, you will work as ...

Waabi

Research Engineer

Phoenix, AZ · On-site +1

$122K - $215K/yr

Qualifications: - Bachelor's in computer science, engineering, machine learning, or a related ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

Waabi

Research Engineer

Phoenix, AZ · On-site +1

$122K - $215K/yr

Qualifications: - Bachelor's in computer science, engineering, machine learning, or a related ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

Axon

Senior Machine Learning Scientist

Scottsdale, AZ · On-site

$92K - $125K/yr

As a key member of our research and development efforts, you will play a crucial role in advancing ... in computer vision, machine learning, and deep learning, MLLMs, GenAI and integrate relevant ...

DocTrials

Clinical Research Assistant

Phoenix, AZ · On-site

TL;DR Full & Part time available As a Clinical Research Assistant, you love to-do lists ... You have pronounced attention to detail and are obsessed with learning. As a lifelong seeker of ...

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

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 Arizona? For Internship Research Assistant Machine Learning jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Internship Research Assistant Machine Learning jobs in Arizona look for? The top searched job categories for Internship Research Assistant Machine Learning jobs in Arizona are:
What cities in Arizona are hiring for Internship Research Assistant Machine Learning jobs? Cities in Arizona with the most Internship Research Assistant Machine Learning job openings:
Internship Research Assistant Machine Learning jobs near you

Research Scientist, Simulation Agents

Waabi

Phoenix, AZ • On-site, Remote

$158K - $269K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 23 days ago

Job description

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.

With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai

The Behaviors team at Waabi develops cutting-edge simulation agents and scenario generation algorithms for Waabi World, our simulation platform. As a Research Scientist on the Behaviors team, you will work closely with our multidisciplinary team of research scientists and engineers to invent the next generation of models and algorithms that power Waabi World. Your work will define the scenarios that push our self-driving system to its limits, generate the training signal that makes them better, and form a core pillar of our scientific safety case to put them on the road.
 
You will...
-  Own and pursue a research agenda to develop realistic and controllable simulation agents.
- Advance the state-of-the-art in imitation learning, reinforcement learning, generative models, foundation models, planning and search, and other related areas for simulation agents.
- Collaborate with our simulation, autonomy, and safety teams to define high-impact research problems, ship solutions into production, and drive progress towards Waabi's milestones.
- Mentor junior scientists and interns; foster a culture of scientific rigor and rapid experimentation.
- Publish high-impact research at top-tier conferences in machine learning or robotics.
 
Qualifications:
- Masters/PhD in machine learning, computer science, engineering, or a related field.
- Strong background in imitation learning and/or reinforcement learning.
- Publications in top-tier conferences or journals related to machine learning or robotics.
- Proficiency with modern ML frameworks such as PyTorch, TensorFlow, or Jax.
 
Bonus:
- Experience in self-driving, traffic simulation, or a related field.
- Proven ability to take research from prototype to production systems.
- Strong software engineering skills, including experience with large-scale training or simulation.

The US yearly salary range for this role is: $158,000 - $269,000 USD in addition to competitive perks & benefits. Waabi US Inc.'s yearly salary ranges are determined based on several factors in accordance with the Company's compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.


Perks/Benefits:
- Competitive compensation and equity awards.
- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
- Unlimited Vacation.
- Flexible hours and Work from Home support.
- Daily drinks, snacks and catered meals (when in office).
- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
- As we grow, this list continues to evolve! 

Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!

Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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