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# Backend & ML Engineer - Social Feed Architecture

- **Company:** Reign Mark Consulting Services, LLC
- **Location:** El Segundo, CA, United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Amazon S3, Computer Vision, Data Normalization, Django Web Framework, Amazon DynamoDB, Graph Database, Python (Programming Language), Memcached, Language Modeling, NoSQL, Recommender Systems, Redis, Cloud Services, Search Technologies, Systems Architecture, Pytorch, Amazon ElastiCache, Flask (Web Framework), Delivery Pipeline, Large Language Models, Caching, Fastapi, Event Driven Architecture, Low Latency, Apache Kafka, React Native, Celery, Amazon Simple Queue Service (SQS), Stream Analytics
- **Published:** August 15, 2026
- **Apply:** https://www.dice.com/job-detail/f75e724b-8b80-4c94-a11d-ca51dd75ee0a

## About the Role

* 5+ years of Senior Backend Engineering experience using Python (FastAPI, AsyncIO, PyTorch, Django, or Flask).
 * Proven Domain Expertise: Direct experience building or scaling social feeds, recommendation engines, or discovery algorithms (e.g., experience from Snap, TikTok, Tinder, Meta, Pinterest, or high-scale social platforms).
 * AWS Cloud Expertise: Hands-on experience with core AWS services (ECS/EKS, Lambda, ElastiCache/Redis, DynamoDB, OpenSearch, S3, SageMaker/Bedrock).
 * Modern AI / Vector Tooling: Familiarity with vector databases (Pinecone, Weaviate, Qdrant, or OpenSearch Vector Search) and embedding models for semantic retrieval and recommendation.
 * Data & System Architecture: Strong mastery of caching strategies (Redis/Memcached), asynchronous processing (Celery/Kafka/SQS), relational & NoSQL databases, and graph database concepts.

Bonus Points

 * Background in Computer Vision / Multimodal AI integration for automated video tagging and product recognition.
 * Experience with real-time analytics, event-driven architectures, or A/B testing infrastructure for feed ranking models.
 * Prior experience working in fast-moving startup environments.

## Description

We are building a next-generation AI-driven social platform combining high-engagement short-form video feeds with intelligent product recommendations and discovery., * Architect & Scale Feed Infrastructure: Design, build, and optimize our high-throughput social feed delivery pipeline (fan-out services, caching strategies, data aggregation, and low-latency API serving).

 * Power ML & Recommendation Pipelines: Implement ranking algorithms, personalized recommendation pipelines, and content filtering using modern ML approaches (e.g., candidate generation, two-tower models, collaborative filtering).
 * Integrate AI/Multimodal Tools: Leverage state-of-the-art AI tooling (vector search, vision-language models, and LLM APIs) to automatically extract metadata, tag video content, and personalize user feeds.
 * AWS Cloud Performance: Manage, scale, and optimize cloud services on AWS to guarantee microsecond-to-millisecond response times under peak user loads.
 * Cross-Functional Collaboration: Partner directly with the founder and mobile engineering team (React Native/Expo) to ensure seamless API integration and smooth 60fps feed rendering on the client side.


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