Applied Machine Learning (ML) Engineer

Responsibilities:

• Build and improve ML models for classification, ranking, retrieval, and personalization.
• Develop efficient classifiers and optimize accuracy, precision, latency, and cost.
• Debug production issues and monitor model performance to ship improvements.

Qualifications:

• Strong foundations in ML and modern neural architectures with hands-on production deployment.
• Experience in classification, ranking, retrieval, recommendation systems, or personalization.
• Comfortable with production-quality code and real-world datasets; tech stack including Python, PyTorch, JAX.

Benefits:

• Medical insurance, Dental, Vision, and Savings Plan Options.
• Paid Time Off (PTO) and other standard benefits.