Machine Learning Engineer, Core Personalization (Remote)

Pinterest; United States; On-site; USD 129,818 - 267,272; Full time

Job summary

An established industry player is seeking a Machine Learning Engineer to innovate and personalize user experiences. In this dynamic role, you'll leverage cutting-edge technology and collaborate with diverse teams to enhance machine learning models for various product areas, including Homefeed, Ads, and Search. You'll have the opportunity to work with large-scale data and contribute to impactful projects that help millions of users discover inspiration. If you're passionate about applying machine learning in a high-impact environment and eager to grow your skills, this position offers a unique chance to make a significant difference in the lives of users worldwide.

Qualifications

• 2+ years of experience in machine learning methods and applications.
• Hands-on experience with data processing pipelines and ML systems.

Responsibilities

• Build technology using deep learning and machine learning for personalization.
• Partner with teams to enhance ML models across various product surfaces.

Skills

Machine Learning

Deep Learning

Natural Language Processing

Recommender Systems

User Modeling

Data Processing Pipelines

Big Data Technologies

Education

M.S. in Machine Learning

PhD in Machine Learning

Tools

Hadoop

Spark

Job description

An established industry player is seeking a Machine Learning Engineer to innovate and personalize user experiences. In this dynamic role, you'll leverage cutting-edge technology and collaborate with diverse teams to enhance machine learning models for various product areas, including Homefeed, Ads, and Search. You'll have the opportunity to work with large-scale data and contribute to impactful projects that help millions of users discover inspiration. If you're passionate about applying machine learning in a high-impact environment and eager to grow your skills, this position offers a unique chance to make a significant difference in the lives of users worldwide.