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Machine Learning Researcher Jobs in Nevada (NOW HIRING)

Varsity Tutors

Statistics Graduate Level Tutor

Reno, NV · Remote

$40/hr

Emphasizes theoretical foundations and connects advanced statistics to biostatistics, econometrics, and machine learning research applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Deloitte

AI Data Engineer Manager

Las Vegas, NV · On-site

... machine learning models and large language models. • Conduct research to provide technical solutions to scale AI/ML powered features for real-world challenges, making trade-offs based on quality ...

Deloitte

AI Data Engineer - Manager

Las Vegas, NV · On-site

... machine learning models and large language models. • Conduct research to provide technical solutions to scale AI/ML powered features for real-world challenges, making trade-offs based on quality ...

Deloitte

AI Data Engineer - Manager

Las Vegas, NV

$109.40K - $131.30K/yr

Understand and contribute to MLOps and LLMOps, focusing on operational capabilities and infrastructure to deploy and manage machine learning models and large language models. Research and Development

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All JobsMachine Learning Researcher JobsMachine Learning Researcher Jobs in Nevada

Machine Learning Researcher information

See Nevada salary details

$30.5K

$115.2K

$167.5K

How much do machine learning researcher jobs pay per year?

As of May 30, 2026, the average yearly pay for machine learning researcher in Nevada is $115,172.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,200.00 and $156,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Machine Learning Researcher, and why are they important?

To thrive as a Machine Learning Researcher, you need deep expertise in mathematics, statistics, programming (typically Python), and a strong academic background in computer science or related fields. Familiarity with frameworks like TensorFlow or PyTorch and experience with tools for data analysis and model development are standard, often supported by advanced degrees or relevant certifications. Critical thinking, creativity, and effective communication are vital soft skills for developing novel solutions and collaborating across interdisciplinary teams. These skills enable researchers to design innovative algorithms, validate models rigorously, and contribute impactful advancements in the field.

What are some common challenges Machine Learning Researchers face when transitioning from academic research to industry roles?

Machine Learning Researchers often find that transitioning to industry involves adapting to faster project timelines, collaborative workflows, and a focus on scalable, real-world solutions rather than theoretical advances alone. In industry, you'll likely work closely with cross-functional teams, such as software engineers and product managers, to ensure models are both practical and maintainable. Balancing innovation with business objectives, handling production constraints, and communicating complex findings to non-technical stakeholders are some of the key challenges you may encounter.

What does a Machine Learning Researcher do?

A Machine Learning Researcher designs, develops, and tests algorithms and models that allow computers to learn from and make decisions based on data. They often work on advancing the field by exploring new methods, improving existing algorithms, and publishing their findings. These researchers collaborate with engineers and data scientists to apply their research to practical problems in areas like computer vision, natural language processing, and robotics. Their work typically involves a combination of mathematics, statistics, programming, and experimentation.

What is the difference between Machine Learning Researcher vs Data Scientist?

AspectMachine Learning ResearcherData Scientist
Required CredentialsAdvanced degrees in CS, ML, or related fields; research experienceDegree in CS, statistics, or related; strong analytical skills
Work EnvironmentResearch labs, academia, R&D departmentsBusiness environments, tech companies, consulting
Employer & Industry UsageUniversities, research institutions, tech firmsCorporations, startups, finance, healthcare
Common Search & ComparisonFocus on theoretical ML advancementsFocus on data analysis & business insights

While both roles involve working with data and algorithms, Machine Learning Researchers primarily focus on developing new algorithms and advancing ML theory, often in research or academic settings. Data Scientists apply these techniques to analyze data, generate insights, and support business decisions in industry environments.

What are popular job titles related to Machine Learning Researcher jobs in Nevada? For Machine Learning Researcher jobs in Nevada, the most frequently searched job titles are:
What job categories do people searching Machine Learning Researcher jobs in Nevada look for? The top searched job categories for Machine Learning Researcher jobs in Nevada are:
Machine Learning Researcher jobs near you
Infographic showing various Machine Learning Researcher job openings in Nevada as of May 2026, with employment types broken down into 52% Full Time, 45% Part Time, and 3% Contract. Highlights an 93% Physical, and 7% Remote job distribution, with an average salary of $115,172 per year, or $55.4 per hour.
Statistics Graduate Level Tutor

Statistics Graduate Level Tutor

Varsity Tutors

Henderson, NV • Remote

$40/hr

Part-time

Posted 24 days ago

Varsity Tutors rating

5.7

Company rating: 5.7 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

13th of 21 rated private schools and tutoring

Job description

About the Job
The Varsity Tutors Live Learning Platform has thousands of students looking for online Statistics Graduate Level tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the flexibility to set your own schedule, earn competitive rates, and make a real impact on students' academic success and understanding. All from the comfort of your home.
Why Join Our Platform?
  • Earn incrementally higher pay for each session with the same student, reaching up to $40/hour.
  • Get paid up to twice per week, ensuring fast and reliable compensation for the tutoring sessions you conduct and invoice.
  • Set your own hours and tutor as much as you'd like.
  • Tutor remotely using our purpose-built Live Learning Platform. No commuting required.
  • Get matched with students best-suited to your teaching style and expertise.
  • Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson generation, and engagement features, helping you save prep time and focus on impactful teaching.
  • We handle the logistics—you just invoice for your tutoring sessions, and we take care of payments.

What We Look For In a Statistics Graduate Level Tutor
  • Advanced Subject Mastery: Deep knowledge of mathematical statistics, maximum likelihood estimation, sufficient statistics, hypothesis testing theory, Bayesian inference, regression analysis, multivariate methods, experimental design, and nonparametric statistics. Ability to explain asymptotic theory, Neyman-Pearson lemma, and generalized linear models while preparing students for research methodology and doctoral-level statistical analysis.
  • Conceptual Teaching & Problem-Solving: Skilled at breaking down likelihood function derivations, posterior distribution calculations, and ANOVA decompositions. Guides students through designing experiments, performing multivariate analysis, constructing confidence regions, and implementing statistical models in software. Emphasizes theoretical foundations and connects advanced statistics to biostatistics, econometrics, and machine learning research applications.
  • Curriculum Awareness & Adaptive Instruction: Familiar with graduate statistics curricula and common challenges such as understanding measure-theoretic probability foundations, deriving estimator properties, and interpreting complex model outputs. Adapts instruction using R or Python statistical computing, research paper examples, and proof-based exercises to support masters and doctoral students across quantitative disciplines.
  • Effective Teaching Methods: Ability to identify concepts students commonly struggle with, explain material using multiple approaches, and adapt instruction to meet individual learning needs and styles.
  • Strong communication skills and a friendly, engaging teaching style.
  • Ability to adapt to different learning styles and student needs.

Ways To Connect With Students
  • 1-on-1 Online Tutoring - Provide personalized instruction to individual students.
  • Instant Tutoring - Accept on-demand tutoring requests whenever you're available.

About Varsity Tutors And 1-on-1 Online Tutoring
Our mission is to transform the way people learn by leveraging advanced technology, AI, and the latest in learning science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students receive customized instruction that helps them achieve their learning goals. Our platform is designed to match students with the right tutors, fostering better outcomes and a passion for learning.
Please note: Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West Virginia or Puerto Rico.

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