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Senior Backend & ML Engineer – Social Feed Architecture

Reign Mark Consulting Services, LLC

Hybrid in El Segundo, California • Today

Easy Apply

Contract

Depends on Experience

Job Details

Skills

A/B Testing
API
Algorithms
Amazon DynamoDB
Amazon S3
Amazon SQS
Amazon SageMaker
Amazon Web Services
Analytics
Apache Kafka
Art
Artificial Intelligence
Caching
Celery
Cloud Computing
Collaboration
Computer Vision
Database
Django
Flask
Graph Databases
Infrastructure Architecture
LOS
Language Models
Machine Learning (ML)
Management
Memcached
Meta-data Management
NoSQL
Pinterest
PostgreSQL
PyTorch
Python
React Native
Real-time
Redis
Semantics
Startups
System Integration Testing
Systems Architecture
Vector Databases
Video

A/B Testing
API
Algorithms
Amazon DynamoDB
Amazon S3
Amazon SQS
Amazon SageMaker
Amazon Web Services
Analytics
Apache Kafka
Art
Artificial Intelligence
Caching
Celery
Cloud Computing
Collaboration
Computer Vision
Database
Django
Flask
Graph Databases
Infrastructure Architecture
LOS
Language Models
Machine Learning (ML)
Management
Memcached
Meta-data Management
NoSQL
Pinterest
PostgreSQL
PyTorch
Python
React Native
Real-time
Redis
Semantics
Startups
System Integration Testing
Systems Architecture
Vector Databases
Video

Summary

Tech Stack: Python, AWS Cloud, Vector Databases, Modern AI/ML Tools, Redis, PostgreSQL/DynamoDB

About the Role

We are building a next-generation AI-driven social platform combining high-engagement short-form video feeds with intelligent product recommendations and discovery.

We are looking for a Senior Backend & Machine Learning Engineer who understands what it takes to power a low-latency, high-throughput social feed. You will sit at the intersection of core distributed systems architecture and modern ML recommendation pipelines, owning the engine that drives user engagement across our platform.

Whether you thrive in our El Segundo, CA office or work remotely within PST-aligned time zones, you will have direct ownership of one of the most critical systems in our product stack.

What You’ll Do

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.

Key Requirements

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.

Work Model & Location

Prong 1 (Preferred): Hybrid / In-Office presence at our office in El Segundo, CA (Greater Los Angeles Area).
Prong 2 (Remote Option): Remote for exceptional social feed specialists located in North America or Latin America with strong alignment to PST work hours.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91172242
Position Id: 9056282
Posted 9 hours ago

Fitment

Dice Job Match Score™

👾 Reticulating splines...

Contact the job poster

Pavan Kumar

Recruiter @ Reign Mark Consulting Services, LLC

View Profile

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Job Details

Skills

A/B Testing
API
Algorithms
Amazon DynamoDB
Amazon S3
Amazon SQS
Amazon SageMaker
Amazon Web Services
Analytics
Apache Kafka
Art
Artificial Intelligence
Caching
Celery
Cloud Computing
Collaboration
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Django
Flask
Graph Databases
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Memcached
Meta-data Management
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React Native
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API
Algorithms
Amazon DynamoDB
Amazon S3
Amazon SQS
Amazon SageMaker
Amazon Web Services
Analytics
Apache Kafka
Art
Artificial Intelligence
Caching
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Cloud Computing
Collaboration
Computer Vision
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Graph Databases
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LOS
Language Models
Machine Learning (ML)
Management
Memcached
Meta-data Management
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Summary

Tech Stack: Python, AWS Cloud, Vector Databases, Modern AI/ML Tools, Redis, PostgreSQL/DynamoDB

About the Role

We are building a next-generation AI-driven social platform combining high-engagement short-form video feeds with intelligent product recommendations and discovery.

Whether you thrive in our El Segundo, CA office or work remotely within PST-aligned time zones, you will have direct ownership of one of the most critical systems in our product stack.

What You’ll Do

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.

Key Requirements

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.

Work Model & Location

Prong 1 (Preferred): Hybrid / In-Office presence at our office in El Segundo, CA (Greater Los Angeles Area).
Prong 2 (Remote Option): Remote for exceptional social feed specialists located in North America or Latin America with strong alignment to PST work hours.

Dice Id: 91172242
Position Id: 9056282
Posted 9 hours ago

Fitment

Dice Job Match Score™

👾 Reticulating splines...

Contact the job poster

Pavan Kumar

Recruiter @ Reign Mark Consulting Services, LLC

View Profile

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

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