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Algorithmic Engineer Jobs in Nevada (NOW HIRING)

Senior AI/ML Engineer

Carson City, NV · On-site +1

$102.30K - $140.50K/yr

Strong fundamentals in object-oriented design and design patterns , data structures , algorithms , and engineering best practices (TDD, code quality, observability, CI/CD). * Experience developing ...

Senior Devops AI tools Engineer

Las Vegas, NV · Remote

$124.90K - $160.50K/yr

USA Summary The DevTestOps engineer handles daily requests from the engineering team. This includes ... Solid understanding of data structures, algorithms, and operating systems, and large software ...

... analytics engineering focus on leveraging advanced technologies and techniques to design and ... Your work will involve designing and optimising algorithms, models, and systems to enable ...

Senior ML Engineer

Las Vegas, NV · On-site

$75 - $85/hr

... model algorithms to improve forecasting, optimization, and operational decision‑making. • Incorporate clear and effective data visualization techniques for both technical and non‑technical ...

New

Senior ML Engineer

Las Vegas, NV · On-site

$75 - $85/hr

... model algorithms to improve forecasting, optimization, and operational decision‑making. • Incorporate clear and effective data visualization techniques for both technical and non‑technical ...

New

Skilled at teaching problem decomposition, algorithm design, and code implementation across programming languages. Guides students through translating problems into pseudocode, implementing solutions ...

Skilled at teaching problem decomposition, algorithm design, and code implementation across programming languages. Guides students through translating problems into pseudocode, implementing solutions ...

Skilled at teaching problem decomposition, algorithm design, and code implementation across programming languages. Guides students through translating problems into pseudocode, implementing solutions ...

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Showing results 1-20

Algorithmic Engineer information

See Nevada salary details

$60.6K

$113.7K

$206.7K

How much do algorithmic engineer jobs pay per year?

As of Jun 3, 2026, the average yearly pay for algorithmic engineer in Nevada is $113,675.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,000.00 and $134,900.00 per year, depending on experience, location, and employer.

What engineers make $300,000 a year?

Senior engineers in fields such as software engineering, data engineering, and specialized roles like algorithmic engineers can earn $300,000 or more annually, especially with experience, advanced skills, and working at large tech companies or in high-demand industries. Compensation often includes base salary, bonuses, and stock options, and requires expertise in programming, systems design, and sometimes certifications or advanced degrees.

What is the difference between Algorithmic Engineer vs Data Scientist?

AspectAlgorithmic EngineerData Scientist
Required CredentialsBachelor's or Master's in Computer Science, Engineering, or related fields; programming skillsBachelor's or Master's in Data Science, Statistics, or related fields; strong analytical skills
Work EnvironmentDevelops algorithms for software, hardware, or embedded systems; often in tech or finance industriesAnalyzes data to extract insights; works in tech, finance, healthcare, and more
Employer & Industry UsageTech companies, finance firms, R&D departmentsTech companies, consulting firms, research institutions

While both roles require strong programming and analytical skills, Algorithmic Engineers focus on designing and implementing algorithms for systems and applications, whereas Data Scientists analyze data to inform business decisions. The roles often overlap in tech environments but serve different primary functions.

What are popular job titles related to Algorithmic Engineer jobs in Nevada? For Algorithmic Engineer jobs in Nevada, the most frequently searched job titles are:
What job categories do people searching Algorithmic Engineer jobs in Nevada look for? The top searched job categories for Algorithmic Engineer jobs in Nevada are:
What cities in Nevada are hiring for Algorithmic Engineer jobs? Cities in Nevada with the most Algorithmic Engineer job openings:
Infographic showing various Algorithmic Engineer job openings in Nevada as of May 2026, with employment types broken down into 78% Full Time, 13% Part Time, and 9% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $113,675 per year, or $54.7 per hour.
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Las Vegas, NV • Remote

Other

Posted 12 days ago


Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.