Sobre este puesto de Sr. Machine Learning Engineer en Pinterest Job Advertisements
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:
- At least one year of experience using Java for developing scalable, high-performance backend services that power real-time recommendation pipelines;
- At least one year of experience experimenting and improving machine learning models;
- At least one year of experience with development and optimization of large scale recommendation algorithms; and
- At least one year of experience applying Natural Language Processing to recommendation systems.
- Python;
- Solving analytical problems using quantitative approaches;
- Adapting standard machine learning methods to best enterprise modern parallel environments: distributed clusters, multicore SMP, or GPU;
- Algorithms, data structure;
- Signal processing;
- Data mining; and
- 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
This position is not available for relocation assistance.
At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Information regarding the culture at Pinterest and benefits available for this position can be found here.
Our Commitment to Inclusion:
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Know Your Rights and Pinterest Policy for more information regarding U.S. roles. If you require a medical or religious accommodation during the job application process, please complete this form for support.
By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation may disqualify me from employment consideration or result in termination if discovered after hire.
