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Discovery Machine Jobs (NOW HIRING)

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eDiscovery Project Coordinator

Washington, DC ยท Remote

$125K - $140K/yr

JOB SUMMARY Corvus Consulting, LLC is seeking a highly skilled and detail-oriented eDiscovery ... We also offer subject matter expertise in artificial intelligence / machine learning, 5G ...

Machine Operator

Sanford, NC ยท On-site

$14/hr

On-the-job training is a good way to discover how to do the job better, so you should have ... Responsibilities Set up machines (calibration, cleaning etc.) to start a production cycle Control ...

Machine Operator

Sanford, NC ยท On-site

$14/hr

On-the-job training is a good way to discover how to do the job better, so you should have ... Responsibilities Set up machines (calibration, cleaning etc.) to start a production cycle Control ...

Contribute to search and discovery improvements, including ranking, filtering, relevance, exact match, boolean logic, and LLM-powered enhancements. * Develop and integrate machine learning models ...

MACHINE OPERATOR

Kingsville, MO ยท On-site

$16 - $19.25/hr

On-the-job training is a good way to discover how to do the job better, so you should have ... Set up machines (calibration, cleaning etc.) to start a production cycle * Control and adjust ...

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Discovery Machine information

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How much do discovery machine jobs pay per hour?

As of Jul 23, 2026, the average hourly pay for discovery machine in the United States is $26.35, according to ZipRecruiter salary data. Most workers in this role earn between $21.39 and $27.88 per hour, depending on experience, location, and employer.

What is the difference between Discovery Machine vs Data Analyst?

AspectDiscovery MachineData Analyst
Required CredentialsTypically requires a degree in computer science, data science, or related fields; certifications like AWS, Azure, or data analysis tools are commonUsually requires a degree in statistics, mathematics, or related fields; certifications in Excel, SQL, or data visualization tools are common
Work EnvironmentWorks in tech companies, data-driven industries, often in collaborative teamsWorks across various industries, including finance, marketing, healthcare, often in office settings
Employer & Industry UsageUsed in technology, software development, and data science companiesUsed across multiple industries for interpreting and visualizing data

The Discovery Machine and Data Analyst roles share overlapping skills in data handling and analysis but differ mainly in technical focus and industry application. Discovery Machines often involve working with AI and machine learning models, while Data Analysts focus on interpreting data to inform business decisions.

More about Discovery Machine jobs
What cities are hiring for Discovery Machine jobs? Cities with the most Discovery Machine job openings:
What states have the most Discovery Machine jobs? States with the most job openings for Discovery Machine jobs include:
Infographic showing various Discovery Machine job openings in the United States as of July 2026, with employment types broken down into 90% Full Time, 9% Part Time, and 1% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $54,803 per year, or $26.3 per hour.
Principal/Senior Machine Learning Scientist - Search and Discovery

Principal/Senior Machine Learning Scientist - Search and Discovery

Roblox

San Mateo, CA โ€ข On-site

Other

Posted 26 days ago


Job description

With Roblox's daily active users growing at a record pace, we are seeking experienced machine learning researchers who thrive on solving complex challenges and designing scalable, ground breaking solutions. In this role, you will innovate on LLMs, VLMs, autoregressive models, or other large models for user understanding, content understanding, recommendation, and agentic search. Your work will lay the foundation for personalizing user experiences, enhancing engagement and retention, and driving growth within the creator ecosystem.

In search and discovery, you will contribute to the core systems that enable users to discover and interact with experiences across Roblox. These systems drive exploration and engagement across all surfaces, helping users find relevant and exciting content. Looking ahead, our team aims to innovate further by developing auto-generated summaries, images, and videos from experience content to improve discoverability and inspire user exploration.

Our mission is to connect a billion users with the best content and connections at the right time, tackling diverse challenges in advertising, search, and discovery at an unprecedented scale. Join us and play a pivotal role in shaping the future of Roblox's search and discovery.

You Will:
  • Design and implement the machine learning solutions that power agentic search and discovery systems to drive Roblox content distribution.
  • Design and implement large scale recommendation models.
  • Design and implement LLMs and VLMs for visual understanding and natural language understanding.
  • Balance researching new technologies with a practical approach to integrate research efforts into the Roblox products.
  • Collaborate with other teams within Roblox to make sure we are building products with a community first approach.
  • Communicate with the industry and communities where applicable and be ambassador for Roblox.
You have:
  • You have 7+ (for principal) or 4+ (for senior) years of experience designing and building scalable machine learning solutions. Experienced with transformer based model training, inference, and product integration. Break down product requirements into iterative deliverable stages.
  • You have a BS, MS, or PhD in Computer Science or a related discipline or equivalent experience.
  • You have initiated and facilitated challenging technical decisions across multiple teams and organizations.
  • While deeply technical, you always start with the needs of the user, whether they are Roblox users or internal engineers.
  • A creative and strategic approach to solving hard problems. You simplify the complex. You bring in fresh ideas from new places.