Job Description

Machine Learning Engineer, Core Engineering
Join to apply for the Machine Learning Engineer, Core Engineering role at Pinterest

Machine Learning Engineer, Core Engineering

Join to apply for the Machine Learning Engineer, Core Engineering role at Pinterest

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, were on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

About Pinterest

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

With more than 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 3,000 global employees, our teams are small, mighty, and still growing. At Pinterest, youll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you wont find anywhere else.

What Youll Do

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 ML 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

What Were Looking For

2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
Nice to have:

M.S. or PhD in Machine Learning or related areas
Publications at top ML conferences
Expertise in scalable realtime systems that process stream data
Passion for applied ML and the Pinterest product

Relocation Statement:

This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

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.
US based applicants only

$129,818$267,272 USD

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. If you require a medical or religious accommodation during the job application process, please complete this form for support.

Seniority level

Seniority level
Mid-Senior level

Employment type

Employment type
Full-time

Job function

Job function
Engineering and Information Technology
Industries
Technology, Information and Internet, Software Development, and IT Services and IT Consulting

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