Machine Learning Engineer - AI-Driven Ad Tech Platform

RZR Global Inc.; San Francisco (CA); On-site; USD 100,000 - 130,000; Full time

Job summary

RZR Global Inc. is seeking a motivated Machine Learning Engineer based in San Francisco, CA, to enhance their programmatic demand-side platform through innovative machine learning models and data pipelines.

The ideal candidate will hold a degree in a technical field and have experience in machine learning and data analysis. Responsibilities include developing machine learning models, collaborating with cross-functional teams, and maintaining data pipelines.

Join us to drive impactful projects in an AI-driven environment!

Qualifications

• At least 1 year of professional experience in machine learning, statistical analysis, and data analysis.
• Experience with machine learning techniques such as regression, classification, and clustering.
• Strong grasp of probability, statistics, and data analysis principles.

Responsibilities

• Support the development of machine learning models to address challenges in programmatic advertising.
• Collaborate with teams to integrate models into production workflows.
• Build and maintain data pipelines for model training and evaluation.
• Document experiments, assumptions, and outcomes.

Skills

Machine Learning

Statistical Analysis

Data Analysis

Python

SQL

Big Data Tools (e.g., Spark)

ML Libraries (e.g., TensorFlow, PyTorch)

Education

Bachelor’s or Master's degree in Mathematics, Physics, Computer Science, or a related technical field

Tools

TensorFlow

PyTorch

Scikit-Learn

Job description

RZR Global Inc. is seeking a motivated Machine Learning Engineer based in San Francisco, CA, to enhance their programmatic demand-side platform through innovative machine learning models and data pipelines.

The ideal candidate will hold a degree in a technical field and have experience in machine learning and data analysis. Responsibilities include developing machine learning models, collaborating with cross-functional teams, and maintaining data pipelines.

Join us to drive impactful projects in an AI-driven environment!