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Machine Learning Researcher Jobs in Nevada (NOW HIRING)

Relativity

Principal Applied Scientist

Las Vegas, NV · On-site

Experience reading, validating, and applying research with a healthy level of skepticism * Experience across a wide range of modeling techniques, from classical machine learning to largescale ...

Socure

Senior Product Marketing Manager

Carson City, NV · On-site

$118K - $155K/yr

Using predictive analytics and advanced machine learning trained on billions of signals to power ... Conduct ongoing market research to understand industry trends, fraud patterns, and competitive ...

micro1 AI

Domain Expert - (STEM PhD)

Las Vegas, NV · Remote

$80 - $90/hr

Demonstrated expertise in calculus, data analysis, research methodology, and experimental design ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

micro1 AI

Engineering AI Evaluator (PhD)

Las Vegas, NV · Remote

$80 - $90/hr

Demonstrated expertise in calculus, data analysis, research methodology, and experimental design ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

Motional

Senior Embedded Software Engineer

Las Vegas, NV · On-site

$149K - $198K/yr

Experience deploying Machine Learning models. * Experience working with GPUs. * Experience working ... Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a ...

Motional

Senior Embedded Software Engineer

Las Vegas, NV · On-site +1

$149K - $198K/yr

Experience deploying Machine Learning models. * Experience working with GPUs. * Experience working ... Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a ...

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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 Jul 10, 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 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 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 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 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 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

Data Scientist Level lll

MbSolutions Inc

Indian Springs, NV • On-site

Full-time

Re-posted 11 days ago

Job description

Must have a favorable Tier 1 (T1) security investigation

Must Minimum of Bachelor's degree in computer science, operations research, or a comparable field

Minimum of 5 years of experience in professional software algorithm development and/or database management and visualization.

Experience with software development lifecycle and use of associated tools.

Proficient in Python, R, Matlab, Lua, or other data science[1]centric programming language.

Mathematical knowledge of optimization, multi-variate calculus, probability & statistics, linear algebra, and numerical methods.

Knowledge of supervised and unsupervised machine learning concepts, such as Artificial Neural Networks, SVMs, Random Forests, Gaussian Processes, and other techniques.

Knowledge of common data visualization technologies, such as matplotlib, bokeh, d3, or matlab.

Exceptional analytical skills and problem-solving skills.

Willingness to learn new skills and technologies and exit "comfort zone".

Good organization, decision making, and verbal and written communication skills.

High level of self-initiative and self-motivation with the ability to work under minimal supervision.

Ability to work effectively in small team settings to solve complex problems


Job Posted by ApplicantPro