Machine Learning Engineer II

Pinterest Job Advertisements • San Francisco, CA

9d • $215,250 - $285,982 • Remote

About The Position

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.

Requirements

• Ph.D. (or foreign equivalent) in Statistics, Mathematics, or a related quantitative discipline such as Biophysics and Quantitative Biology plus two (2) years of experience in the job offered or a related occupation.
• Developing and maintaining data pipelines for training datasets utilizing Hadoop and Spark (2 years)
• Machine Learning Methods (user modeling, recommender system (2 years)
• Analyzing user behavior signals and enforcement actions by applying natural language processing (NLP) and computer vision–based recommendation algorithms (1 year)
• Leveraging LLM and CLIP models implemented with TensorFlow and PyTorch (1 year)
• Designing and improving advertising algorithms using Python, Java and Go (2 years)
• Developing multi-module market applications of large language models (LLMs) to align visual and language information (1 year)

Responsibilities

• 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, Related Product, 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 content recommendation and ads delivery.
• 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 This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree