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

As a Machine Learning Engineer at Pinterest, you'll work on tackling new challenges in machine learning and artificial intelligence.

You will contribute to cutting-edge research in machine learning and artificial intelligence that can be applied to Pinterest problems.

Your responsibilities will include:

• Collecting, analyzing, and synthesizing findings from data and building intelligent data-driven models
• Writing clean, efficient, and sustainable code
• Using machine learning, natural language processing, and graph analysis to solve modeling and ranking problems across discovery, ads, and search
• Designing, building, and testing models to predict engagement for notifications
• Building content recommendation systems to power push, email, and in-app notifications
• Working on state-of-the-art large-scale applied machine learning projects
• Scoping and independently solving moderately complex problems

To qualify, you will need:

• A Master's in Computer Science, ML, NLP, Statistics, Information Sciences, or a related field
• Experience with machine learning, including ranking, computer vision, NLP, content recommendations, embedding, and information retrieval
• Experience with big data technologies such as Hadoop and Spark, and scalable real-time systems that process stream data
• Mastery of at least one systems language, such as Java, C++, or Python, or one ML framework, such as Tensorflow, Pytorch, or MLFlow
• Proficiency with AI-native engineering, including designing agent-friendly codebases
• 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 solving analytical problems
• Strong communication and teamwork skills

The base salary range for this position is $146,000-$196,000 USD.