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Machine Learning Researcher Jobs in Nevada (NOW HIRING)

Meltwater

Senior AI/ML Engineer

Las Vegas, NV

$188K - $250K/yr

... research. * Solid foundation in machine learning concepts such as feature engineering, model selection, training, validation, and error analysis * Strong proficiency in Python and working knowledge ...

Relativity

Principal Applied Scientist

Las Vegas, NV · On-site +1

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 ...

LegalMatch.com

Predictive Analytics Modeler

Reno, NV · On-site

$54.50 - $70.75/hr

... machine learning and artificial intelligence. This position will be in-office at our Reno, NV ... Performs research of various areas of the company, including underwriting, claims and sales through ...

Pwc

CTIO-AI Engineer-Sr Associate

Las Vegas, NV

$55K - $187K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... research or open-source communities - Demonstrating knowledge of orchestration tools such as ...

TELUS Digital

On Site Research Study

Las Vegas, NV · On-site

Candidates will interact with a new AI chatbot during the research study. The task is estimated to ... machine learning models via our global AI Community of 1 million+ annotators and linguists. Our ...

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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.

Patent Associate - Electrical, Computer, Software Eng. (26 Years) - Las Vegas

Direct Counsel

Las Vegas, NV

$220K - $305K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago

Job description

Patent Associate (3–6 Years)

Direct Counsel is representing a nationally recognized law firm seeking a Patent Associate to join its Intellectual Property & Technology practice. This role offers the opportunity to work with innovative companies on protecting and expanding their intellectual property portfolios across cutting-edge technology sectors.

Key Responsibilities

  • Draft and prosecute patent applications before the USPTO

  • Advise clients on patent strategy, portfolio development, and intellectual property protection

  • Collaborate with inventors, engineers, and business teams on complex technology matters

  • Support matters involving software, consumer electronics, artificial intelligence, and emerging technologies

  • Conduct legal research, prepare filings, and assist with IP-related transactions and disputes

Qualifications

  • J.D. from an accredited law school with strong academic credentials

  • 2–6 years of patent prosecution or related intellectual property experience

  • Degree in Electrical Engineering, Computer Science, or Software Engineering

  • USPTO registration or eligibility to sit for the Patent Bar

  • Strong research, analytical, writing, and communication skills

  • Experience with software development, AI, machine learning, or data technologies is a plus

Compensation & Benefits

Salary range: $235,000 – $305,000, depending on experience. Associates may also be eligible for hours-based bonuses.

The firm offers comprehensive benefits, including medical, dental, and vision insurance, life and disability coverage, 401(k) with matching contributions, profit-sharing contributions, and paid time off.