PhD University Grad Machine Learning Engineer 2026 (USA)
PhD University Grad Machine Learning Engineer 2026 (USA)
Job Description
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 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
Qualifications
- PhD in Computer Science, ML, NLP, Statistics, Information Sciences or related field
- Machine Learning experience (ranking, computer vision, NLP, content recommendations, embedding, information retrieval etc)
- Proficiency in at least one systems language (Java, C++, Python) or one ML framework (Tensorflow, Pytorch, MLFlow)
- Experience with big data technologies (e.g., Hadoop/Spark) and scalable realtime systems that process stream data
- Experience in research and in solving analytical problems
- Strong communicator and team player with the ability to find solutions for open-ended problems
Preferred Qualifications
- Publications in machine learning, AI, data science, data analytics, statistics, or related technical fields
- Interest in research and in applying ML to impactful real-world problems on the Pinterest product
Locations
- San Francisco, CA, US; Palo Alto, CA, US; Seattle, WA, US
Salary
162,690 - 214,060 USD / yearly
Skills Required
- Machine Learning (ranking, computer vision, NLP, content recommendations, embedding, information retrieval)intermediate
- Systems languages: Java, C++, Pythonintermediate
- ML frameworks: Tensorflow, Pytorch, MLFlowintermediate
- Big data technologies: Hadoop, Sparkintermediate
- Scalable realtime systems for stream data processingintermediate
- Research and analytical problem-solvingintermediate
- Communication and teamworkintermediate
- Natural language processingintermediate
- Graph analysisintermediate
Required Qualifications
- PhD in Computer Science, ML, NLP, Statistics, Information Sciences or related field (experience)
- Machine Learning experience (ranking, computer vision, NLP, content recommendations, embedding, information retrieval etc) (experience)
- Proficiency in at least one systems language (Java, C++, Python) or one ML framework (Tensorflow, Pytorch, MLFlow) (experience)
- Experience with big data technologies (e.g., Hadoop/Spark) and scalable realtime systems that process stream data (experience)
- Experience in research and in solving analytical problems (experience)
- Strong communicator and team player with the ability to find solutions for open-ended problems (experience)
Preferred Qualifications
- Publications in machine learning, AI, data science, data analytics, statistics, or related technical fields (experience)
- Interest in research and in applying ML to impactful real-world problems on the Pinterest product (experience)
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 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
Tags & Categories
PhD University Grad Machine Learning Engineer 2026 (USA)
PhD University Grad Machine Learning Engineer 2026 (USA)
Job Description
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 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
Qualifications
- PhD in Computer Science, ML, NLP, Statistics, Information Sciences or related field
- Machine Learning experience (ranking, computer vision, NLP, content recommendations, embedding, information retrieval etc)
- Proficiency in at least one systems language (Java, C++, Python) or one ML framework (Tensorflow, Pytorch, MLFlow)
- Experience with big data technologies (e.g., Hadoop/Spark) and scalable realtime systems that process stream data
- Experience in research and in solving analytical problems
- Strong communicator and team player with the ability to find solutions for open-ended problems
Preferred Qualifications
- Publications in machine learning, AI, data science, data analytics, statistics, or related technical fields
- Interest in research and in applying ML to impactful real-world problems on the Pinterest product
Locations
- San Francisco, CA, US; Palo Alto, CA, US; Seattle, WA, US
Salary
162,690 - 214,060 USD / yearly
Skills Required
- Machine Learning (ranking, computer vision, NLP, content recommendations, embedding, information retrieval)intermediate
- Systems languages: Java, C++, Pythonintermediate
- ML frameworks: Tensorflow, Pytorch, MLFlowintermediate
- Big data technologies: Hadoop, Sparkintermediate
- Scalable realtime systems for stream data processingintermediate
- Research and analytical problem-solvingintermediate
- Communication and teamworkintermediate
- Natural language processingintermediate
- Graph analysisintermediate
Required Qualifications
- PhD in Computer Science, ML, NLP, Statistics, Information Sciences or related field (experience)
- Machine Learning experience (ranking, computer vision, NLP, content recommendations, embedding, information retrieval etc) (experience)
- Proficiency in at least one systems language (Java, C++, Python) or one ML framework (Tensorflow, Pytorch, MLFlow) (experience)
- Experience with big data technologies (e.g., Hadoop/Spark) and scalable realtime systems that process stream data (experience)
- Experience in research and in solving analytical problems (experience)
- Strong communicator and team player with the ability to find solutions for open-ended problems (experience)
Preferred Qualifications
- Publications in machine learning, AI, data science, data analytics, statistics, or related technical fields (experience)
- Interest in research and in applying ML to impactful real-world problems on the Pinterest product (experience)
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 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
Tags & Categories