Job Description

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.

Email resume to applications.szn@gmail.com .

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

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