People In AI is a high-growth, privacy-first AI startup transforming how enterprises convert third-party data into high-accuracy, ML-ready features. As a Staff Machine Learning Engineer, you will build and ship production ML systems focusing on real-time inference and scalability while impacting business outcomes.
Responsibilities:
- Build and deploy large-scale representation learning and personalization models
- Develop embeddings, ranking systems, recommendation engines, and CTR models
- Design real-time and low-latency inference pipelines
- Own the full ML lifecycle from data processing to production monitoring
- Improve model performance and manage drift in live systems
Requirements:
- Experience shipping ML models into production at scale
- Strong background in embeddings, representation learning, CTR, or sequence modeling
- Hands-on experience with real-time or near-real-time ML systems
- Solid understanding of data pipelines, orchestration, and experimentation tooling
- Product mindset with strong ownership and startup experience
- Python
- Spark
- Airflow
- CI/CD pipelines
- PyTorch or TensorFlow
- Distributed data and inference systems