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Slot Machine Software Engineer Jobs in Raleigh, NC

We are seeking a Machine Learning Engineer Lead to design, build, and operate scalable AI/ML ... Strong software engineering background with experience in building system design, architecting AI ...

We are seeking a Machine Learning Engineer Lead to design, build, and operate scalable AI/ML ... Strong software engineering background with experience in building system design, architecting AI ...

CoVar is a small AI/ML R&D software company in Durham, NC, that uses artificial intelligence to solve problems that matter. The Machine Learning Engineer will develop software and machine learning ...

... machines. Here at Nutanix we are looking for a Software Engineer in the Core Data Path that are responsible for the Nutanix Distributed Storage Fabric (NDSF) that underlies the entire Nutanix ...

Machine Learning Engineer About CoVar CoVar is a small AI/ML R&D software company in Durham, NC, that uses artificial intelligence to solve problems that matter. We develop AI/ML tools to help the ...

... machines. Here at Nutanix we are looking for a Software Engineer in the Core Data Path that are responsible for the Nutanix Distributed Storage Fabric (NDSF) that underlies the entire Nutanix ...

We are seeking a Machine Learning Engineer Lead to design, build, and operate scalable AI/ML ... Strong software engineering background with experience in building system design, architecting AI ...

CoVar is a small AI/ML R&D software company in Durham, NC, that uses artificial intelligence to ... machine learning, Bayesian models, etc. • B.S., preferably M.S. or Ph.D in engineering, math ...

Requirements * 10 + years of Machine Learning/Software Engineer experience * Master's degree or bachelor's degree, computer science degree is highly desirable. * Strong software engineering ...

The role involves directing AI coding agents, designing and building machine-learning models, and ... engineer you are accountable for, never an oracle. • Integrate third-party APIs and external ...

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Slot Machine Software Engineer information

See Raleigh, NC salary details

$69.5K

$108.9K

$152.1K

How much do slot machine software engineer jobs pay per year?

As of Jul 16, 2026, the average yearly pay for slot machine software engineer in Raleigh, NC is $108,882.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,900.00 and $123,500.00 per year, depending on experience, location, and employer.

What is the difference between Slot Machine Software Engineer vs Casino Game Developer?

AspectSlot Machine Software EngineerCasino Game Developer
Required CredentialsComputer Science degree, programming skills, knowledge of gaming regulationsComputer Science or Game Design degree, programming skills, understanding of gaming laws
Work EnvironmentCasino software companies, gaming labs, online gaming platformsGame studios, online casinos, gaming software providers
Industry UsageDesigns and develops software for slot machines specificallyCreates a variety of casino games including slots, table games, and more

While both roles involve developing gaming software, Slot Machine Software Engineers focus specifically on slot machine technology, ensuring compliance and functionality. Casino Game Developers have a broader scope, creating various casino games beyond just slots. The roles often overlap in skills and work environments but differ in their specific focus within the gaming industry.

What is a Slot Machine Software Engineer?

A Slot Machine Software Engineer is a specialized software developer who designs, develops, and maintains the software that powers electronic slot machines and gaming systems. They work on creating game logic, graphics integration, and ensuring compliance with gaming regulations. These engineers also collaborate with designers and testers to deliver engaging and fair gaming experiences. Their work is crucial for both the entertainment value and security of slot machine games.

What are the key skills and qualifications needed to thrive as a Slot Machine Software Engineer, and why are they important?

To thrive as a Slot Machine Software Engineer, you need strong programming skills (commonly in C++, C#, or Java), knowledge of game mathematics, and a relevant degree in computer science or engineering. Familiarity with gaming platforms, regulatory compliance systems, debugging tools, and experience with random number generators (RNGs) are typically required. Creativity, attention to detail, and effective collaboration help engineers design engaging and compliant gaming experiences. These skills ensure reliable, secure, and enjoyable slot machine software that meets both regulatory standards and player expectations.

What are some unique challenges Slot Machine Software Engineers face when developing new game features?

Slot Machine Software Engineers often navigate strict regulatory requirements and compliance testing, which can impact how features are designed and implemented. They must balance creative game design with mathematical precision to ensure fairness and randomness, all while optimizing performance for real-time play. Collaboration with artists, mathematicians, and QA testers is frequent, making strong communication skills essential. The dynamic nature of the gaming industry also means engineers need to stay updated on new technologies and player trends.
What are popular job titles related to Slot Machine Software Engineer jobs in Raleigh, NC? For Slot Machine Software Engineer jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Slot Machine Software Engineer jobs in Raleigh, NC look for? The top searched job categories for Slot Machine Software Engineer jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Slot Machine Software Engineer jobs? Cities near Raleigh, NC with the most Slot Machine Software Engineer job openings:
Machine Learning Engineer Lead

Machine Learning Engineer Lead

RELX

Raleigh, NC

$115K - $192K/yr

Full-time

Re-posted 3 days ago


Job description

About our Team

LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX (www.relx.com), a global provider of information-based analytics and decision tools for professional and business customers. Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from today's top model creators for each individual legal use case. The company employs over 2,000 technologists, data scientists, and experts to develop, test, and validate solutions in line with RELX Responsible AI Principles (https://stories.relx.com/responsible-ai-principles/index.html).

About the Role

Do you love collaborating with teams to solve complex technical problems?

We are seeking a Machine Learning Engineer Lead to design, build, and operate scalable AI/ML systems and agentic architectures that support next-generation legal research and analytics products. This role combines deep ML expertise with distributed systems engineering and AI platform development.

In this role you will be a hands-on engineer and leader that will lead a high-performing team of 4-5 ML engineers, drive platform-level decisions, and ensure enterprise-grade scalability, reliability, and responsible AI compliance.

Responsibilities:
  • Lead, mentor, and grow a team of 4-5 ML engineers.

  • Provide architectural direction and code-level guidance.

  • Establish engineering best practices for ML system design, testing, and deployment.

  • Conduct design reviews, performance reviews, and technical roadmap planning.

  • Architect distributed ML systems serving multiple global products.

  • Standardize infrastructure patterns for LLM serving and retrieval systems.

  • Define and implement enterprise-ready agentic frameworks.

  • Architect multi-step reasoning systems.

  • Lead decisions on deterministic workflows vs. autonomous agents.

  • Implement guardrails, safety layers, and traceability mechanisms.

  • Develop evaluation frameworks to measure reasoning quality, hallucination rates, and reliability.

  • Establish CI/CD standards for ML lifecycle management.

  • Ensure compliance with enterprise data governance and responsible AI standards.

Requirements

  • 8-10 years of Machine Learning/Software Engineer experience

  • 2-3 years of people management experience.

  • Master's degree or bachelor's degree, computer science degree is highly desirable.

  • Strong software engineering background with experience in building system design, architecting AI feature/products that caters large number of users and deals with large volume of unstructured data

  • Experience with ML deployment to production

U.S. National Base Pay Range: $115,400 - $192,300. Geographic differentials may apply in some locations to better reflect local market rates. This job is eligible for an annual incentive bonus.

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