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Ai Optimization Jobs in Nevada (NOW HIRING)

Sr AI/ML Engineer

Sparks, NV

$106K - $146K/yr

Design and prototype MPC-aligned models incorporating predictive modeling, optimization, and ... Advanced AI/ML Modeling & Technical Leadership: * Architect, train, and optimize advanced models ...

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Skilled at breaking down neural network architectures, training optimization, and model evaluation ...

Sr. Engineer, Industrial AI and Analytics

Sparks, NV ยท On-site

$106K - $146K/yr

... optimization, yield improvement, and decision support. * Identify and prioritize analytics and ... Manage relationships with data/AI platform partners, systems integrators, and analytics vendors ...

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Ai Optimization information

What is AI optimization?

AI optimization involves developing and applying algorithms to improve the performance, accuracy, and efficiency of artificial intelligence models. AI optimization specialists often work with machine learning techniques, tuning parameters, and using tools like TensorFlow or PyTorch to enhance model outcomes and operational effectiveness.

What are the key skills and qualifications needed to thrive as an AI Optimization Specialist, and why are they important?

To thrive as an AI Optimization Specialist, you need a strong background in computer science, mathematics, and machine learning, often supported by a degree in a related field. Proficiency with programming languages like Python, optimization frameworks (such as TensorFlow or PyTorch), and knowledge of cloud platforms are typically required, along with relevant certifications. Analytical thinking, problem-solving, and effective communication are essential soft skills for translating complex data into actionable solutions. These skills ensure the development of efficient, scalable AI models that drive business value and innovation.

Which 3 jobs will survive AI?

AI optimization professionals, data scientists, and cybersecurity specialists are likely to continue thriving as their roles involve complex problem-solving, strategic decision-making, and safeguarding systems beyond AI's current capabilities. These jobs require advanced skills, critical thinking, and adaptability that are difficult for AI to fully replicate. Continuous learning and certification in relevant tools enhance job security in these fields.

What is the difference between Ai Optimization vs Data Scientist?

AspectAi OptimizationData Scientist
Required CredentialsDegree in Computer Science, Data Science, or related fields; knowledge of AI/ML frameworksDegree in Statistics, Computer Science, or related fields; proficiency in programming and statistical analysis
Work EnvironmentTech companies, AI-focused teams, R&D departmentsResearch institutions, tech firms, finance, healthcare
Employer & Industry UsagePrimarily in AI development, machine learning optimization projectsData analysis, predictive modeling, data-driven decision making

Ai Optimization specialists focus on enhancing AI models' performance and efficiency, often working on machine learning algorithms and deployment. Data Scientists analyze large datasets to extract insights, build predictive models, and support decision-making. While both roles require strong technical skills and knowledge of data and algorithms, Ai Optimization is more specialized in refining AI systems, whereas Data Scientists have a broader scope in data analysis and interpretation.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as AI research director, senior machine learning engineer, or AI executive, often requiring advanced skills, extensive experience, and sometimes equity or bonuses. These roles are usually found in large tech companies or startups with significant AI investments and may involve leadership, strategic planning, and cutting-edge development.

What are some common challenges faced by professionals in AI Optimization roles, and how can they be overcome?

Professionals in AI Optimization often encounter challenges such as balancing model accuracy with computational efficiency, handling large and complex datasets, and staying updated with rapidly evolving algorithms. To overcome these, it's important to collaborate closely with data engineers and domain experts, utilize scalable computing resources, and continuously invest in learning new optimization techniques. Participating in knowledge-sharing forums and leveraging open-source tools can also help address these challenges effectively.

Which AI job is high paying?

High-paying AI jobs include roles such as AI Research Scientist, Machine Learning Engineer, and Data Scientist, often requiring advanced degrees and expertise in programming, statistics, and deep learning frameworks. These positions typically offer salaries above industry average due to their specialized skills and demand in sectors like technology, finance, and healthcare.
What are popular job titles related to Ai Optimization jobs in Nevada? For Ai Optimization jobs in Nevada, the most frequently searched job titles are:
What job categories do people searching Ai Optimization jobs in Nevada look for? The top searched job categories for Ai Optimization jobs in Nevada are:
What cities in Nevada are hiring for Ai Optimization jobs? Cities in Nevada with the most Ai Optimization job openings:
Infographic showing various Ai Optimization job openings in Nevada as of July 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 64% Physical, 3% Hybrid, and 33% Remote job distribution.
Performance Marketing Manager - SEO/AEO

Performance Marketing Manager - SEO/AEO

Noble Studios

Reno, NV โ€ข Remote

Other

Posted 16 days ago


Job description

Our SEO/AEO specialist (called Performance Marketing Manager) plays a key role in executing and optimizing organic strategies that improve search visibility, answer engine presence and measurable client outcomes. This mid-level role partners with strategists, designers, developers, copywriters and clients to translate business goals into clear SEO/AEO recommendations.

Noble is looking for a highly authentic and collaborative contributor who takes immense pride in delivering polished, high-quality work aligned with overarching client strategies. Combining analytical rigor with proactive curiosity, they excel at spotting patterns, identifying hidden opportunities, and raising the sharp questions that keep teams ahead of the curve. They seamlessly translate technical complexity into clear, actionable advice that builds lasting trust-proving they can easily juggle multiple priorities while making everyone look good.

CORE RESPONSIBILITIES:Search & AI Strategy Executionย 
  • Contribute to SEO and Answer Engine Optimization (AEO) strategies for assigned clients by translating client goals, audience behavior, search intent and performance data into practical recommendations.
  • Own day-to-day SEO/AEO deliverables with rigor, polish and clear rationale, including audits, content briefs, analysis, reporting inputs and optimization recommendations that help the team move work forward.
  • Collaborate with content, development, analytics, paid media, account and strategy teams to ensure SEO/AEO recommendations are actionable, integrated and tied to broader marketing plans.
Content
  • Conduct keyword, topic, intent, SERP, competitor and AI research to identify content gaps, entity and authority opportunities and visibility risks across traditional search and AI platforms.
  • Understand how AI models understand, summarize, cite and recommend brands and translate analysis into identified patterns, source/citation gaps and recommended actions.
  • Support offsite integration strategies by researching social media, citations, digital PR, partnership, other cross-channel signals that influence organic visibility and AI visibility.
Technical
  • Audit technical SEO issues including crawlability, indexation, internal linking, URL structure, redirects, canonicalization, XML sitemaps, robots directives, page speed/Core Web Vitals, mobile usability, JavaScript rendering and schema markup.
  • Analyze and translate technical findings into prioritized roadmaps that balance business impact, user value, level of effort, development dependencies and performance risk.
  • Identify and implement structured data, metadata, internal linking and content enhancements that improve search engine and answer engine understanding, eligibility for rich results and alignment with user intent.
Data Analysis
  • Monitor organic performance using platforms such as GA4, Google Search Console, Data Studio, and rank/visibility tools to surface signals early and clearly explain what changed, why it matters and what to do next.
OUR IDEAL CANDIDATE:
  • Operates with consistency, curiosity and care, taking pride in well-constructed and high-quality work.
  • Brings a detail-driven mindset to every deliverable, showing rigor, polish and a clear understanding of how the work ladders up to client goals and the larger strategy.
  • Spots patterns, red flags, performance shifts and hidden opportunities early, asking sharp questions to help the team make better decisions.
  • Connects the why to the now by translating technical depth and precision into clear, actionable recommendations that build trust with clients and internal teams.
  • Stays prepared, engaged and accountable while managing multiple priorities and contributing to a stronger quality baseline for the team.
REQUIRED EXPERIENCE & SKILLS:
  • 3+years of digital marketing experience with a primary focus on SEO; agency or multi-client experience preferred.
  • Bachelor's degree in a related field or equivalent experience considered.
  • Hands-on understanding of SEO fundamentals across technical SEO, content strategy, internal linking, structured data, information architecture and offsite authority.
  • Working knowledge of AEO concepts, including entity signals, source/citation analysis, conversational query behavior and how content may be interpreted by AI models and answer engines.
  • Ability to audit technical SEO issues and explain their impact in plain language to cross-functional teams and clients.
  • Demonstrated ability to prioritize recommendations using impact/effort, business goals, dependencies and performance data.
  • Strong analytical, research, written and verbal communication skills, with the ability to turn data and observations into clear next steps.
  • Comfort using GA4, Google Search Console, Excel/Google Sheets, Looker Studio, crawling tools such as Screaming Frog, and SEO research/ranking platforms and CMS platforms.
  • Working knowledge of HTML, CSS, JavaScript rendering considerations, and schema markup.
  • Detail-driven, consistent, curious and prepared; someone who takes pride in accurate work, surfaces risks early and helps the team produce stronger outcomes.
  • Ability to manage multiple assignments and deadlines while staying organized, collaborative and accountable.