Master's University Grad Machine Learning Engineer 2027 (USA)

Pinterest; Palo Alto (CA); On-site; USD 146,000 - 196,000; Full time

Benefits offered by this job

Equity

Job summary

Pinterest is seeking a Machine Learning Engineer to advance large-scale recommender systems and AI-driven experiences. You will tackle challenges across discovery, ads, and search, building and evaluating models to optimize engagement and content recommendations.

The role requires a Master’s in a relevant field, strong ML/NLP/IR skills, experience with big data tools, and proficiency in Python/Java/C++. Collaboration with AI-native engineering is essential in a fast-growing environment.

Qualifications

• Master’s in Computer Science, ML, NLP, Statistics, Information Sciences or related field required.
• Strong ML experience in ranking, computer vision, NLP or content recommendations.
• Experience with big data technologies (Hadoop/Spark) and scalable realtime systems.
• Proficiency in at least one systems language (Java, C++, Python) or one ML framework (TensorFlow, PyTorch, MLFlow).
• Ability to design AI-native, agent-friendly, scalable engineering solutions.

Responsibilities

• Contribute to cutting-edge research in ML/AI applicable to Pinterest problems.
• Collect, analyze, and synthesize data-driven findings to build intelligent models.
• Write clean, efficient, and scalable code.
• Apply ML, NLP, and graph analysis to modeling and ranking across discovery, ads, and search.
• Design, build, and test models to predict engagement for notifications.
• Build content recommendation systems powering push, email, and in-app notifications.
• Work on large-scale applied ML projects and independently solve moderately complex problems.

Skills

ML research

rank­ing/recommendation systems

NLP

embedding

information retrieval

big data tech

Java

C++

Python

TensorFlow

PyTorch

MLFlow

Education

Master’s in CS/ML related field

Tools

Hadoop

Spark

TensorFlow

PyTorch

MLFlow

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.

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 640 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers help build personalized experiences to help Pinners create a life they love. 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.

This is a general posting for multiple roles open across our various ML teams. You will have the opportunity to work on a very large scope of problems in recommender systems, search, ads, ranking, natural language processing, graph representation learning, personalization, etc.

As a Machine Learning Engineer at Pinterest, you’ll work on tackling new challenges in machine learning and artificial intelligence. As you kickstart your career at Pinterest, you’ll join our engineering teams as we maneuver through exponential growth and massive scale while building awesome products and features, creating visually rich experiences, spearheading the discovery problem, and pinpointing tomorrow’s engineering challenges.

What you’ll do:

• Contribute to cutting‑edge research in machine learning and artificial intelligence that can be applied to Pinterest problems
• Collect, analyze, and synthesize findings from data and build intelligent data-driven model
• Write clean, efficient, and sustainable code
• Use machine learning, natural language processing, and graph analysis to solve modeling and ranking problems across discovery, ads and search
• Design, build, and test models to predict engagement for notifications (push, emails, in‑app notifications)
• Build content recommendation systems to power our push, email, and in‑app notifications
• Work on state‑of‑the‑art large‑scale applied machine learning projects
• Scope and independently solve moderately complex problems

What we’re looking for:

• Master’s in Computer Science, ML, NLP, Statistics, Information Sciences or related field required
• Machine Learning experience (ranking, computer vision, NLP, content recommendations, embedding, information retrieval etc)
• Experience with big data technologies (e.g., Hadoop/Spark) and scalable realtime systems that process stream data
• Mastery of at least one systems languages (Java, C++, Python) or one ML framework (Tensorflow, Pytorch, MLFlow)
• Proficiency with AI-native engineering, including the design of agent‑friendly codebases.
• High degree of autonomy in learning new agent‑first development tools.
• Strong critical thinking when working with AI-generated suggestions, with a clear approach to validating correctness, performance, security, and maintainability.
• Comfort iterating on prompts, refining workflows, and adapting AI‑assisted approaches based on the problem, context, and constraints.
• Experience in research and in solving analytical problems
• Strong communicator and team player. Being able to find solutions for open-ended problems.

In-Office Requirement Statement:

• We let the type of work you do guide the collaboration style. That means we’re not always working in an office, but we continue to gather for key moments of collaboration and connection
• This role may require you to be located near an office for in‑person collaboration, and therefore may need to be located a commutable distance from one of our Pinterest offices.

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. $146,000 — $196,000 USD

Information regarding the culture at Pinterest and benefits available for this position can be found here.

US based applicants only

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.