Sr. SW Engineer, Machine Learning

📋 Description

• Define the architecture and stack for an AI-driven revenue platform.
• Build end-to-end AI-driven recommendations and decisioning pipelines.
• Design data pipelines from signals to model inference and APIs.
• Build production-grade systems with error handling, validation, explainability, and guardrails.
• Partner cross-functionally with ML, backend, frontend, data, and business teams.
• Drive technical decisions impacting revenue, quality, scalability, and time-to-market.

🎯 Requirements

• Bachelor's degree in Computer Science or related field.
• Experience building recommendation or decisioning systems in advertising or revenue platforms.
• Strong understanding of modern LLMs and agentic systems; evaluate latency, cost, and quality tradeoffs.
• Experience with LLM and multi-agent pipelines: prompting, orchestration, and error handling.
• Experience deploying ML systems in production: model serving, containerization, CI/CD, monitoring.
• Hands-on with PyTorch, HuggingFace Transformers, LangGraph, feature stores, and vector databases for RAG workflows.
• Experience designing evaluation approaches for recommender and generative systems using metrics and A/B testing.

🎁 Benefits

• Global access to mental health and financial wellness resources.
• Healthcare, dental, and vision coverage; life, accident, disability, and retirement options.
• Time off per local leave policies.
• Reasonable accommodations available during hiring process.