Binance
Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by over 280 million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital‑asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world.
We seek an AI/LLM SEO specialist who combines machine learning engineering expertise with advanced SEO knowledge to build scalable automation systems that drive organic growth. This role architects and deploys Python‑based SEO tools, LLM‑optimized content strategies, and ML‑powered analysis frameworks to accelerate our market share growth in organic search traffic.
Responsibilities
Build automated SEO monitoring and diagnostic systems using Python, BigQuery, and ML frameworks to analyze 500K+ pages at scale
Develop LLM‑optimized content strategies targeting AI Overviews, ChatGPT, Perplexity, and other generative search platforms
Design and implement ML‑based internal linking recommendation engines (graph databases, semantic similarity models) to replace manual link building
Create automated content quality assessment systems using NLP/LLM APIs to identify thin content, duplicate issues, and optimization opportunities
Build custom SEO APIs and MCP servers integrating Google Search Console, Ahrefs, DataForSEO, and internal analytics for Claude/AI agent workflows
Develop Python scripts for log file analysis, crawl pattern optimization, and automated technical SEO auditsEngineer real‑time performance dashboards combining organic traffic, conversion attribution, and competitive positioning metrics
Implement E‑E‑A‑T signal optimization through automated authorship systems, schema markup generation, and structured data validation
Train and deploy ML models for keyword clustering, search intent classification, and cannibalization detection across multi‑language content
Build automated QA frameworks for SEO validation in CI/CD pipelines (schema testing, hreflang validation, indexation checks)
Requirements
5+ years combining software engineering/ML with hands‑on SEO execution (not just theory)
Strong experience with BigQuery, SQL, and data warehouse architectures for SEO analytics
Strong Python programming experience: pandas, scikit‑learn, API integrations, web scraping, data pipeline orchestration
Understanding of NLP, semantic search, entity recognition, and knowledge graph concepts
Deep understanding of LLM architectures, prompt engineering, and RAG systems for search optimization
Proven experience building SEO automation tools that drive measurable organic traffic growth
Expertise in SEO APIs: Google Search Console API, Ahrefs API, DataForSEO, custom crawler development
Experience with cloud platforms (GCP/AWS) and workflow orchestration (Airflow, Cloud Composer)
Demonstrated ability to translate business requirements into technical specifications and working code
Familiarity with modern web technologies: JavaScript rendering, SSR/CSR, Core Web Vitals optimization
Experience in cryptocurrency/fintech industry is a strong plus
Why Binance
Shape the future with the world’s leading blockchain ecosystem
Collaborate with world‑class talent in a user‑centric global organization with a flat structure
Tackle unique, fast‑paced projects with autonomy in an innovative environment
Thrive in a results‑driven workplace with opportunities for career growth and continuous learning
Competitive salary and company benefits
Work‑from‑home arrangement (the arrangement may vary depending on the work nature of the business team)
Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.
By submitting a job application, you confirm that you have read and agree to our Candidate Privacy Notice.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
#J-18808-Ljbffr
We seek an AI/LLM SEO specialist who combines machine learning engineering expertise with advanced SEO knowledge to build scalable automation systems that drive organic growth. This role architects and deploys Python‑based SEO tools, LLM‑optimized content strategies, and ML‑powered analysis frameworks to accelerate our market share growth in organic search traffic.
Responsibilities
Build automated SEO monitoring and diagnostic systems using Python, BigQuery, and ML frameworks to analyze 500K+ pages at scale
Develop LLM‑optimized content strategies targeting AI Overviews, ChatGPT, Perplexity, and other generative search platforms
Design and implement ML‑based internal linking recommendation engines (graph databases, semantic similarity models) to replace manual link building
Create automated content quality assessment systems using NLP/LLM APIs to identify thin content, duplicate issues, and optimization opportunities
Build custom SEO APIs and MCP servers integrating Google Search Console, Ahrefs, DataForSEO, and internal analytics for Claude/AI agent workflows
Develop Python scripts for log file analysis, crawl pattern optimization, and automated technical SEO auditsEngineer real‑time performance dashboards combining organic traffic, conversion attribution, and competitive positioning metrics
Implement E‑E‑A‑T signal optimization through automated authorship systems, schema markup generation, and structured data validation
Train and deploy ML models for keyword clustering, search intent classification, and cannibalization detection across multi‑language content
Build automated QA frameworks for SEO validation in CI/CD pipelines (schema testing, hreflang validation, indexation checks)
Requirements
5+ years combining software engineering/ML with hands‑on SEO execution (not just theory)
Strong experience with BigQuery, SQL, and data warehouse architectures for SEO analytics
Strong Python programming experience: pandas, scikit‑learn, API integrations, web scraping, data pipeline orchestration
Understanding of NLP, semantic search, entity recognition, and knowledge graph concepts
Deep understanding of LLM architectures, prompt engineering, and RAG systems for search optimization
Proven experience building SEO automation tools that drive measurable organic traffic growth
Expertise in SEO APIs: Google Search Console API, Ahrefs API, DataForSEO, custom crawler development
Experience with cloud platforms (GCP/AWS) and workflow orchestration (Airflow, Cloud Composer)
Demonstrated ability to translate business requirements into technical specifications and working code
Familiarity with modern web technologies: JavaScript rendering, SSR/CSR, Core Web Vitals optimization
Experience in cryptocurrency/fintech industry is a strong plus
Why Binance
Shape the future with the world’s leading blockchain ecosystem
Collaborate with world‑class talent in a user‑centric global organization with a flat structure
Tackle unique, fast‑paced projects with autonomy in an innovative environment
Thrive in a results‑driven workplace with opportunities for career growth and continuous learning
Competitive salary and company benefits
Work‑from‑home arrangement (the arrangement may vary depending on the work nature of the business team)
Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.
By submitting a job application, you confirm that you have read and agree to our Candidate Privacy Notice.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
#J-18808-Ljbffr