Staff Machine Learning Engineer

People In AI is a fast-growing, product-led SaaS company modernizing a massive, underserved industry through data and intelligent systems. The role involves building, deploying, and scaling production-grade ML systems while influencing technical direction and architecture across the organization.

Responsibilities:

• Design, build, and deploy production ML systems including regression, classification, clustering, ranking, and recommendation
• Develop and scale intelligent features powered by both structured data and LLMs
• Own the full ML lifecycle from data exploration and feature engineering through deployment and monitoring
• Help define and evolve MLOps best practices including feature stores, CI/CD pipelines, and model serving
• Build AI agents and workflow automation systems using modern LLM tooling
• Partner cross-functionally with product, engineering, and data teams to deliver impactful features
• Provide technical leadership and mentorship across the ML and engineering teams

Requirements:

• Multiple years of applied ML experience with a strong record of shipping production systems
• Deep experience building and deploying recommendation systems, ranking models, and NLP-driven applications
• Strong Python skills and experience with frameworks like PyTorch or TensorFlow
• Deep understanding of classical ML techniques and model evaluation
• Experience with MLOps practices including versioning, orchestration, monitoring, and deployment
• Solid SQL skills and experience working with large-scale datasets
• Exposure to LLMs, NLP, or vector databases is a strong plus
• Experience operating in startup or high-growth environments with high ownership
• Strong collaboration skills with a low ego and high EQ