Versant
media
SeniorAIEngineer
Neural analysis suggests this role is
optimal for mid candidates.
“Senior AI Engineer at Versant. Skills: AI/ML, Generative AI, Semantic search, MLOps. Design intelligent systems. Build intelligent systems”
What You'll Achieve.
Enhance content performance; Improve editorial productivity; Improve audience experience
Industry & Context.
Problem-solving; Debugging; Analytical; Troubleshooting
What They're Looking For.
Must Have
software engineering and applied AI/ML experience, large-scale, high-availability environments, Proficiency in Python and Java, Hands-on experience with LangChain, Experience integrating and evaluating AI models, Deep understanding of prompt engineering, Experience with AWS cloud services
Nice to Have
Experience in media industry, Experience in publishing industry, Experience in streaming industry, Experience in advertising industry, Experience in digital content industry, Familiarity with content modeling, Familiarity with taxonomies, Familiarity with metadata, Familiarity with editorial workflows, Familiarity with personalization, Familiarity with recommendations, Experience with MLOps, Experience with model monitoring, Experience with feature pipelines, Experience with experimentation, Experience with A/B testing, Experience with offline/online evaluation frameworks, Master’s degree in computer science, Master’s degree in machine learning, Master’s degree in data science
What You'll Do.
Design intelligent systems
Build intelligent systems
Operationalize intelligent systems
Enhance content discovery
Enhance personalization
Enhance editorial workflows
Enhance audience experiences
Build services for RAG
Build services for semantic search
Build services for model integration
Build services for prompt orchestration
Build services for evaluation
Build services for production AI workflows
Contribute through engineering
Contribute through applied AI expertise
Provide architectural input
Build reliable products
Build measurable products
Build maintainable AI/ML products
Partner with product teams
Partner with data science teams
Partner with editorial teams
Partner with analytics teams
Partner with design teams
Define AI requirements
Define ML requirements
Conduct architecture reviews
Conduct design discussions
Promote engineering best practices
Promote ML best practices
Promote responsible AI best practices
Identify systemic team issues
Solve systemic team issues
Participate in AI architecture conversations
Guide AI architecture conversations
Participate in model capabilities conversations
Guide model capabilities conversations
Participate in search relevance conversations
Guide search relevance conversations
Participate in media industry trends conversations
Guide media industry trends conversations
Champion user-first mindset
Advocate for AI solutions
Improve content performance
Improve editorial productivity
Improve audience experience
Design AI/ML services
Deliver AI/ML services
Support content intelligence use cases
Support semantic search use cases
Support recommendations use cases
Support automation use cases
Support generative AI use cases
Build production services
Maintain production services
Develop AI applications
Develop orchestration workflows
Integrate large language models
Integrate embedding models
Integrate multimodal models
Integrate domain-specific AI services
Design prompt engineering strategies
Design prompt templates
Design evaluation workflows
Deploy ML-enabled applications
Monitor ML-enabled applications
Secure ML-enabled applications
Scale ML-enabled applications
Implement vector search
Implement retrieval-augmented generation
Promote test coverage
Promote model evaluation
Promote secure development
Promote responsible AI practices
Drive adoption of AI platform patterns
Evolve shared ML engineering capabilities
Debug model integrations
Profile model integrations
Optimize model integrations
Debug inference workflows
Profile inference workflows
Optimize inference workflows
Debug search relevance
Profile search relevance
Optimize search relevance
Collaborate with SREs
Collaborate with platform teams
Ensure AI services are observable
Ensure AI services are resilient
Ensure AI services are production-ready
Scope large AI initiatives
Break down model problems
Break down data problems
Break down platform problems
Communicate timelines
Communicate model limitations
Communicate operational tradeoffs
Balance competing priorities
Support team in achieving timelines
Maintain code quality
Maintain model quality
Maintain sustainable velocity
Define cohesive AI-powered experiences
Deliver cohesive AI-powered experiences
Participate in technical hiring
Help scale AI engineering capabilities
Help scale ML engineering capabilities
Help scale platform engineering capabilities
Create documentation for AI architectures
Create documentation for model integrations
Create documentation for prompt strategies
Create documentation for evaluation results
Create documentation for operational runbooks
Maintain documentation for AI architectures
Maintain documentation for model integrations
Maintain documentation for prompt strategies
Maintain documentation for evaluation results
Maintain documentation for operational runbooks
Communicate technical decisions
Communicate model behavior
Communicate tradeoffs
Participate in post-incident reviews
Participate in model quality reviews
Participate in cross-team discussions
How You'll Work.
Team & Collaboration
Product teams; Data science teams; Editorial teams; Analytics teams; Design teams; SREs; Platform teams; Cross-functional teams
Communication Scope
Technical decisions; Model behavior; Risks; Tradeoffs; Executive presentations; Technical documentation
Process & Methodology
Scoping initiatives, Breaking down problems, Balancing priorities
Full Job Description
VERSANT is a leading force in news, sports and entertainment - home to iconic and trusted brands that inspire, inform, and delight audiences. Our unique combination of content, technology and services enriches the cultural fabric, igniting passions, sparking conversations, and connecting people to what they love most. As an independent, publicly traded company, VERSANT brings together powerhouse cable networks - including USA Network, CNBC, MS NOW (formerly MSNBC), Oxygen, E!, SYFY, and Golf Channel - with dynamic digital and direct-to-consumer brands such as Fandango, Rotten Tomatoes, GolfNow, GolfPass, and SportsEngine. Together, these businesses reflect our commitment to delivering exceptional experiences across every screen and service. VERSANT is an industry-changing media company fueled by innovation and an entrepreneurial spirit. With a strong foundation and a forward-looking vision, VERSANT empowers creativity, embraces change, and drives connection in an ever-evolving world. As a Senior AI/ML Engineer on the AI Experience team, you will play a critical role in designing, building, and operationalizing intelligent systems that enhance content discovery, personalization, search, editorial workflows, and audience experiences across VERSANT digital platforms. You’ll work with Python, Java, LangChain, AWS, OpenSearch, and a range of modern AI models to deliver scalable machine learning and generative AI capabilities. You will build services that support retrieval-augmented generation, semantic search, model integration, prompt orchestration, evaluation, and production-grade AI workflows. You will contribute not only through strong engineering and applied AI expertise, but also through mentorship, architectural input, responsible AI practices, and a commitment to building reliable, measurable, and maintainable AI/ML-enabled products. What We Value Senior AI/ML Engineers at VERSANT go beyond model experimentation. They turn ambiguous business needs into practical
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