AI/ML Engineer

About the Role

We are looking for a passionate and skilled AI/ML Engineer with strong MLOps expertise to join our product engineering team. You will be responsible for developing and deploying scalable machine learning solutions that power our content-commerce-collaboration platform used by creators, brands, and consumers.

Responsibilities

• Design, train, and optimize ML/DL models for personalization, content understanding, search, recommendations, and fraud detection.
• Develop multimodal pipelines handling video, image, audio, and text inputs.
• Create embedding workflows and integrate with vector databases like Pinecone for real-time inference.
• Architect scalable, asynchronous inference systems using Docker, ECS Fargate, S3, Step Functions, SQS, and Lambda.
• Build CI/CD pipelines using GitHub Actions and AWS CodePipeline for ML lifecycle automation.
• Monitor model performance using Prometheus, Grafana, OpenTelemetry, and CloudWatch.
• Develop reusable infrastructure templates for logging, versioning, and evaluation.
• Secure and manage data using AWS services, including S3, EFS, ElastiCache, and RDS.

Requirements

• Troubleshoot and resolve complex system issues
• 3+ years of experience in ML engineering with proven MLOps exposure.
• Proficiency in Python with frameworks like TensorFlow, PyTorch, and Scikit-learn.
• Experience with Docker, AWS (ECS, Fargate, Lambda, S3), and CI/CD pipelines.
• Familiarity with gRPC microservices, REST APIs, and async job processing.
• Hands-on experience with vector databases such as Pinecone or FAISS.
• Strong problem-solving and debugging skills.
• Proactive communicator with the ability to work both independently and collaboratively.

What We Offer

• Opportunity to work on cutting-edge tech in media + commerce, + social stack.
• Flat hierarchy, fast-paced product innovation cycle.
• Wellness support, flexible hours, and a remote-first policy.