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Product Manager Machine Learning Jobs in Nevada (NOW HIRING)

Play a key role in architecting the algorithms and models that will power our products * Train on a ... Learn and understand a large body of research in deep learning and machine learning * Participate ...

Play a key role in architecting the algorithms and models that will power our products * Train on a ... Learn and understand a large body of research in deep learning and machine learning * Participate ...

Play a key role in architecting the algorithms and models that will power our products * Train on a ... Learn and understand a large body of research in deep learning and machine learning * Participate ...

Risk Modeler I

Las Vegas, NV · On-site

$52.75 - $68.50/hr

... machine learning (ML) powered predictive models that cover the entire customer lifecycle including Acquisitions, Underwriting, Fraud, Customer Management, and Collections. As a Risk Modeler, you will ...

Risk Modeler I

Las Vegas, NV · On-site

$52.75 - $68.50/hr

... machine learning (ML) powered predictive models that cover the entire customer lifecycle including Acquisitions, Underwriting, Fraud, Customer Management, and Collections. As a Risk Modeler, you will ...

Risk Modeler I

Las Vegas, NV

$52.75 - $68.50/hr

... machine learning (ML) powered predictive models that cover the entire customer lifecycle including Acquisitions, Underwriting, Fraud, Customer Management, and Collections. As a Risk Modeler, you will ...

Facilitate and maintain field-level geochemical sampling, data management, and analysis, including internal databases, geochemical models, and production trends * Works with other Geochemists on ...

Facilitate and maintain field-level geochemical sampling, data management, and analysis, including internal databases, geochemical models, and production trends. * Works with other Geochemists on ...

Sr AI/ML Engineer

Sparks, NV

$106K - $146K/yr

Advanced skills in machine learning frameworks (TensorFlow, PyTorch) and modern AI/ML techniques ... Led efforts to improve model performance and reliability in production settings. * Strong ...

Machine Operator 3rd shift

Dayton, NV

$16.25 - $19.50/hr

Refer issues/problems to Productions Lead or Production Managers for disposition. * Perform all required machine cleaning. * Complete and maintain all required system inputs/transactions. Responsible ...

Cyber - AWS Cloud Security - Manager

Las Vegas, NV · On-site

$106K - $143K/yr

Experience securing machine learning, generative AI, or agentic AI workloads and pipelines on AWS ... Meticulous attention to detail and quality of work product * Ability to build and sustain ...

Showing results 41-60

Product Manager Machine Learning information

What does a product manager machine learning do?

A Product Manager for Machine Learning oversees the development and deployment of machine learning products or features. They work closely with data scientists, engineers, and business stakeholders to identify opportunities where machine learning can deliver value, define product requirements, and guide projects from conception to launch. Their responsibilities include setting the product vision, prioritizing features, ensuring alignment with business goals, and evaluating the impact of machine learning solutions. They also help bridge the gap between technical teams and non-technical stakeholders by translating complex concepts into actionable plans.

What are the key skills and qualifications needed to thrive as a product manager machine learning?

To thrive as a Product Manager, Machine Learning, you need a solid understanding of product lifecycle management, data analytics, and machine learning concepts—often supported by a technical degree and relevant experience. Familiarity with tools like Python, SQL, JIRA, and machine learning frameworks, as well as certifications such as PMP or Agile, is highly beneficial. Outstanding communication, stakeholder management, and problem-solving skills help you bridge the gap between technical teams and business objectives. These abilities are crucial to successfully guide ML products from ideation to launch, ensuring they deliver real value and align with organizational goals.

How does a product manager machine learning typically collaborate with data scientists and engineering teams?

Product Managers in Machine Learning work closely with both data scientists and engineering teams to translate business objectives into viable AI-driven products. They facilitate communication by defining clear requirements, prioritizing features, and ensuring that the technical roadmap aligns with user needs and company strategy. Regular meetings, progress reviews, and shared documentation are common practices to keep everyone aligned. This cross-functional collaboration is essential for addressing feasibility, optimizing models, and delivering successful products on schedule.

What is the difference between Product Manager Machine Learning vs Data Scientist?

AspectProduct Manager Machine LearningData Scientist
Primary FocusOverseeing ML product development, strategy, and deploymentAnalyzing data, building models, and deriving insights
Required SkillsProduct management, ML understanding, cross-functional collaborationStatistics, programming, data analysis
Work EnvironmentProduct teams, engineering, business stakeholdersData analysis teams, research, engineering
Common CertificationsProduct management certifications, ML coursesData science certifications, programming skills

While both roles involve machine learning, Product Manager Machine Learning focuses on guiding ML products from conception to deployment, working closely with engineering and business teams. Data Scientists primarily analyze data and develop models to extract insights. The roles complement each other but differ in their core responsibilities and skill sets.

What are popular job titles related to Product Manager Machine Learning jobs in Nevada?

For Product Manager Machine Learning jobs in Nevada, the most frequently searched job titles are:

Infographic showing various Product Manager Machine Learning job openings in Nevada as of August 2026, with employment types broken down into 86% Full Time, 12% Part Time, and 2% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution.

Research Scientist Intern (2025)

Whiterabbit.ai

Henderson, NV • On-site

Other

Re-posted 19 hours ago


Job description

We are looking for a Research Scientist Intern to push the state of the art of our AI models. As a Research Scientist Intern at Whiterabbit.ai, you will:

  • Play a key role in architecting the algorithms and models that will power our products
  • Train on a dedicated high-performance compute cluster specialized for deep learning research
  • Work with doctors and healthcare professionals to identify serious problems and leverage their domain expertise to build robust solutions
  • Remain an active contributor to the research community by partnering with universities and publishing high impact papers

Who we are:

Our mission at Whiterabbit.ai is to save lives and eliminate suffering through the early detection of cancer with artificial intelligence. We collaborate closely with one of the top medical schools in the country and have exclusive access to one of the world’s largest cancer datasets with millions of images. We invent algorithms that make doctors more productive, more accurate, and more capable. We build products and services with a relentless focus on transforming the patient’s healthcare experience.

Responsibilities

  • Develop highly scalable classifiers and detectors that solve real-world problems
  • Learn and understand a large body of research in deep learning and machine learning
  • Participate in cutting-edge research for medical applications of computer vision

Must Have Experience

  • Experience with deep learning and convolutional networks
  • Strong theoretical and empirical research background
  • Fluency with a deep learning framework and Python

Nice to Have Experience

  • Contributions to research communities and efforts, such as publications at conferences like CVPR, NeurIPS, ICCV, ECCV, ICML, and ICLR
  • Large scale machine learning experience working with terabytes of data
  • Implemented custom operations/modules in a deep learning framework
  • Imagination, ambition, and curiosity