Master's University Grad Machine Learning Engineer 2027 (USA) at Pinterest | CA, US | Rezi

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

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

Pinterest · CA, US

1 months ago

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

Pinterest · CA, US

a month ago
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About the Role

As a Machine Learning Engineer at Pinterest, you’ll work on tackling new challenges in machine learning and artificial intelligence. 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. By applying to this role, you will be considered for multiple roles open across our various ML teams.

Responsibilities

  • 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 models
  • 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

Requirements

  • 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
  • Ability to find solutions for open-ended problems

Skills

  • Machine Learning
  • Natural Language Processing
  • Graph Analysis
  • Ranking
  • Computer Vision
  • Content Recommendations
  • Embedding
  • Information Retrieval
  • Big Data Technologies
  • Hadoop
  • Spark
  • Scalable Realtime Systems
  • Stream Data Processing
  • Java
  • C++
  • Python
  • Tensorflow
  • Pytorch
  • MLFlow
  • AI-native engineering
  • Agent-friendly codebases
  • Agent-first development tools
  • Critical thinking
  • AI-generated suggestions validation
  • Prompt iteration
  • Workflow refinement
  • AI-assisted approaches
  • Research
  • Analytical problem solving
  • Communication
  • Teamwork

Location

  • USA
  • Canada

Work Type

  • Hybrid

Experience Level

  • Machine Learning Engineer

Education Level

  • Master's in Computer Science, ML, NLP, Statistics, Information Sciences or related field

Salary/Compensations

  • $146,000—$196,000 USD

Benefits

  • Equity

About the Company

  • 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.
  • 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.
  • 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.
  • 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.

Equal Opportunity

  • 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.