SR. MACHINE LEARNING ENGINEER, MONETIZATION ENGINEERING

Pinterest; Seattle (WA); Hybrid; USD 177,000 - 311,000; Full time

Job summary

Pinterest is seeking a Machine Learning Engineer to enhance our technology stack within Ads using cutting-edge advances in machine learning and deep learning. This role includes responsibilities such as building personalized experiences and improving ML models for various product categories. Ideal candidates will possess a background in computer science and practical experience with data processing pipelines and recommender systems.

Qualifications

• 2+ years of industry experience applying machine learning methods.
• End-to-end experience with building data processing pipelines.
• Practical knowledge of large scale recommender systems.

Responsibilities

• Develop and execute machine learning technology stack within Ads.
• Experiment and improve ML models for various product surfaces.
• Stay updated with industry trends in recommendation systems.

Skills

Machine Learning

Deep Learning

Natural Language Processing

Data Processing

Recommender Systems

Education

Degree in Computer Science

Tools

Hadoop

Spark

Job description

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.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each others unique experiences and embrace theflexibility 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 4,000 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.

Within the Monetization ML Engineering team, we try to connect the dots between the aspirations of Pinners and the products offered by our partners. In this role, you will be responsible for developing and executing a vision for the evolution of the machine learning technology stack within Ads.

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
• Keep up with industry trends in recommendation systems
• Leverage LLMs to enhance content understanding

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)

Degree in computer science, statistics, or related field

End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop / Spark)

Practical knowledge of large scale recommender systems, or modern ads ranking, retrieval, targeting, marketplace systems

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

Background in computational advertising

Relocation Statement :

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

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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

177,309 — $310,291 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 completethis formfor support.

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