Machine Learning Engineer, Core Engineering

Pinterest
Palo Alto, CA, United States
4 days ago
Apply on jobs.localjobnetwork.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Compensation
$138,905.0 - $285,982.0
Working hours
Regular working hours

Tech stack

Data Analysis Big Data Cursor (Graphical User Interface Elements) Software Debugging Apache Hadoop Machine Learning Natural Language Processing Recommender Systems SQL Databases Reinforcement Learning Large Language Models Apache Spark
+4 more
Information Technology Machine Learning Operations Code Restructuring Data Pipelines

Job description

  • 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

Requirements

  • 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)
  • Bachelor’s degree in computer science, machine learning, statistics, a related field or equivalent experience
  • Nice to have:
  • M.S. or PhD in Machine Learning or related areas
  • Publications at top ML conferences
  • Experience using Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring
  • Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration
  • Expertise in scalable realtime systems that process stream data
  • Passion for applied ML and the Pinterest product

About the company

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 theflexibility to do your best work. Creating a career you love? It’s Possible.

At Pinterest, AI isn’t just a feature, it’s a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

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, you’ll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won’t find anywhere else.

What you’ll do:

  • Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on jobs.localjobnetwork.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:34 min

Capabilities of the Apache Spark processing engine

Ayon Roy · LIVE

3:14 min

Structuring career paths and localized data architectures

Ulrich Wurstbauer +1 · LIVE

3:28 min

Defining big data and machine learning fundamentals

Ayon Roy · LIVE

1:48 min

Automating exploratory data analysis within training pipelines

Dora Petrella · World Congress 2023

2:56 min

Options for database machine learning integration architectures

Akmal Chaudhri Akmal Chaudhri · LIVE

3:23 min

Exploring specialized career paths within the data science ecosystem

Julian Joseph · LIVE

Videos

See all

Related articles

See all