Applied Machine Learning (ML) Engineer (Fully Remote)

Not Disclosed; United States; Remote; USD 120,000 - 170,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Savings plan

Paid time off

Job summary

Not Disclosed in the United States is seeking a machine learning engineer to build and optimize models for classification, ranking, retrieval, and personalization.

You will work with Python, PyTorch, and JAX, deploy production-grade code, and monitor performance, latency, and cost to ship frequent improvements.

The role emphasizes practical, scalable ML in a production environment and requires a strong foundation in modern architectures.

Qualifications

• Strong ML foundations and neural architectures with hands-on production deployment.
• Experience with classification, ranking, retrieval or personalization.
• Proficient in production-quality code using Python, PyTorch and JAX.

Responsibilities

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

Skills

ML foundations

Neural architectures

Production deployment

Classification

Ranking

Retrieval systems

Personalization

Tools

Python

PyTorch

JAX

Job description

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