Reporting to the Founder/CEO, build a next-gen media engagement platform focusing on contextual understanding, personalized experiences and scalable infrastructure. Drive technical architecture while owning key implementations across user profiling, recommendations, and core platform services.

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Responsibilities

• Design and implement contextual user profiling systems
• Build sports interest and behavior graph models
• Create natural language processing pipelines for sports context
• Set up personalization engines

Smart Recommendations & Content

• Build learning path recommendation engines
• Develop event and offer matching systems
• Design A/B testing frameworks
• Set up content personalization pipelines

Platform Infrastructure (Supporting Systems)

• Design and implement FastAPI microservices
• Build secure payment and subscription systems
• Create data pipelines for behavior analysis
• Implement tracking and attribution systems
• Set up multi-tenant architecture
• Manage AWS cloud infrastructure

Technical Stack

User Profiling : Real-time interest scoring, Affinity modeling

Smart Recommendations :

Supporting Infrastructure :

AI/ML Services :

Vector Databases :

• AWS: OpenSearch, Neptune

Payment Systems :

• Processing: Stripe, Payment intents

Technical Requirements

• Strong graph database and user modeling experience
• Background in recommendation systems
• NLP / Real-time ML inference expertise
• React/TypeScript frontend development

AI/ML Requirements

• Experience integrating and fine-tuning multiple LLMs (e.g., Claude, GPT)
• Practical knowledge of vector databases and hybrid search architectures
• Track record of deploying real-time ML inference systems at scale
• Experience building and maintaining knowledge graphs
• Understanding of ML model deployment and monitoring in production
• Background in content enhancement and NLP pipelines
• Ability to optimize model performance and costs
• Experience with ML feature engineering and data pipelines

Additional Skills (nice to have)

• Payment system implementation
• Event streaming platforms
• Security best practices
• ML infrastructure optimization
• Performance monitoring

Impact

Join an early-stage startup working with major media partners. Shape core architecture decisions and build systems that make stories more accessible and enjoyable for everyone.

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Industries: Technology, Information and Media and Consumer Services