Machine Learning Engineer

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible.

Job Duties: Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest. Partner closely with teams across Pinterest to experiment and improve Machine Learning models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas. Use data driven methods and leverage the unique properties of our data to improve candidates retrieval. Work in a high-impact environment with quick experimentation and product launches. Keeping up with industry trends in recommendation systems. Telecommuting and/or remote employment permitted.

Minimum Requirements: PhD (or foreign equivalent) in Computer Science, Software Engineering, or closely related quantitative discipline and two (2) years of experience in the job offered or at least one year of experience in the job offered or in a software engineer/machine learning engineer-related position.

 Special Skill Requirements:

1. At least one year of experience using Java for developing scalable, high-performance backend services that power real-time recommendation pipelines;
2. At least one year of experience experimenting and improving machine learning models;
3. At least one year of experience with development and optimization of large scale recommendation algorithms; and
4. At least one year of experience applying Natural Language Processing to recommendation systems.
5. Python;
6. Solving analytical problems using quantitative approaches;
7. Adapting standard machine learning methods to best enterprise modern parallel environments: distributed clusters, multicore SMP, or GPU;
8. Algorithms, data structure;
9. Signal processing;
10. Data mining; and
11. Gathering, manipulating, or analyzing complex, high-volume, high-dimensionality data from varying sources.

Salary: $246,916.00 – $332,012.00 per annum

Reference #: L23-134111-2