Machine Learning Engineer, Core Engineering

Pinterest; San Francisco (CA); On-site; USD 129,818 - 267,272; Full time

Job summary

A leading tech company is seeking a Machine Learning Engineer in San Francisco, CA. The role requires building cutting-edge technology to enhance user personalization on a large platform. Ideal candidates will have a background in machine learning with at least two years of experience, along with a degree in a relevant field. Competitive salary and focus on innovation await the right individual. Strong analytical and data processing skills are essential.

Qualifications

• 2+ years of industry experience in machine learning.
• Hands-on experience with large-scale systems and data processing.

Responsibilities

• Build technology using deep learning and machine learning.
• Partner with teams to improve ML models across Pinterest.
• Use data-driven methods to enhance candidate retrieval.

Skills

Machine learning methods

Data processing pipelines

Big data technologies (e.g., Hadoop/Spark)

Natural language processing

Recommender systems

Education

Degree in computer science or related field

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, 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.

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
• 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 we’re 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)
• Degree in computer science, machine learning, statistics, or related field
• Nice to have:
  • M.S. or Ph.D. 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.

US based applicants only

Base salary range: $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.