Master's Machine Learning Internship 2026 (USA)
Master's Machine Learning Internship 2026 (USA)
Job Description
Responsibilities
- Lead your own project start to finish to contribute in 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
- Scope and independently solve moderately complex problems
- Demonstrate accountability for the quality and completion of your tasks and projects, collaborating with your team and seeking guidance as needed
Qualifications
- Working towards a Master's degree in Computer Science, ML, NLP, Statistics, Information Sciences or related field
- Experience with big data technologies (e.g., Hadoop/Spark) and scalable realtime systems that process stream data
- Proficiency in at least one systems language (Java, C++, Python) or one ML framework (Tensorflow, Pytorch, MLFlow)
- Experience in research and in solving analytical problems
Preferred Qualifications
- Machine Learning (ranking, computer vision, NLP, content recommendations, embedding, information retrieval etc)
- Strong communicator and team player with the ability to find solutions for open-ended problems
Benefits
- Meaningful Work: Contribute to projects that impact millions of users worldwide
- Mentorship: Learn from and be guided by experienced engineers and researchers in the field
- Growth and Development: Participate in professional development workshops and networking events to build your skills and connections
Locations
- San Francisco, CA, US; Palo Alto, CA, US; Seattle, WA, US; New York, NY, US
Salary
132,000 - 132,000 USD / yearly
Skills Required
- Machine Learning (ranking, computer vision, NLP, content recommendations, embedding, information retrieval)intermediate
- Big data technologies (Hadoop/Spark)intermediate
- Scalable realtime systems that process stream dataintermediate
- Systems languages (Java, C++, Python)intermediate
- ML frameworks (Tensorflow, Pytorch, MLFlow)intermediate
- Research and analytical problem-solvingintermediate
- Communication and teamworkintermediate
- Natural language processingintermediate
- Graph analysisintermediate
Required Qualifications
- Working towards a Master's degree in Computer Science, ML, NLP, Statistics, Information Sciences or related field (experience)
- Experience with big data technologies (e.g., Hadoop/Spark) and scalable realtime systems that process stream data (experience)
- Proficiency in at least one systems language (Java, C++, Python) or one ML framework (Tensorflow, Pytorch, MLFlow) (experience)
- Experience in research and in solving analytical problems (experience)
Preferred Qualifications
- Machine Learning (ranking, computer vision, NLP, content recommendations, embedding, information retrieval etc) (experience)
- Strong communicator and team player with the ability to find solutions for open-ended problems (experience)
Responsibilities
- Lead your own project start to finish to contribute in 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
- Scope and independently solve moderately complex problems
- Demonstrate accountability for the quality and completion of your tasks and projects, collaborating with your team and seeking guidance as needed
Benefits
- general: Meaningful Work: Contribute to projects that impact millions of users worldwide
- general: Mentorship: Learn from and be guided by experienced engineers and researchers in the field
- general: Growth and Development: Participate in professional development workshops and networking events to build your skills and connections
Tags & Categories
Master's Machine Learning Internship 2026 (USA)
Master's Machine Learning Internship 2026 (USA)
Job Description
Responsibilities
- Lead your own project start to finish to contribute in 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
- Scope and independently solve moderately complex problems
- Demonstrate accountability for the quality and completion of your tasks and projects, collaborating with your team and seeking guidance as needed
Qualifications
- Working towards a Master's degree in Computer Science, ML, NLP, Statistics, Information Sciences or related field
- Experience with big data technologies (e.g., Hadoop/Spark) and scalable realtime systems that process stream data
- Proficiency in at least one systems language (Java, C++, Python) or one ML framework (Tensorflow, Pytorch, MLFlow)
- Experience in research and in solving analytical problems
Preferred Qualifications
- Machine Learning (ranking, computer vision, NLP, content recommendations, embedding, information retrieval etc)
- Strong communicator and team player with the ability to find solutions for open-ended problems
Benefits
- Meaningful Work: Contribute to projects that impact millions of users worldwide
- Mentorship: Learn from and be guided by experienced engineers and researchers in the field
- Growth and Development: Participate in professional development workshops and networking events to build your skills and connections
Locations
- San Francisco, CA, US; Palo Alto, CA, US; Seattle, WA, US; New York, NY, US
Salary
132,000 - 132,000 USD / yearly
Skills Required
- Machine Learning (ranking, computer vision, NLP, content recommendations, embedding, information retrieval)intermediate
- Big data technologies (Hadoop/Spark)intermediate
- Scalable realtime systems that process stream dataintermediate
- Systems languages (Java, C++, Python)intermediate
- ML frameworks (Tensorflow, Pytorch, MLFlow)intermediate
- Research and analytical problem-solvingintermediate
- Communication and teamworkintermediate
- Natural language processingintermediate
- Graph analysisintermediate
Required Qualifications
- Working towards a Master's degree in Computer Science, ML, NLP, Statistics, Information Sciences or related field (experience)
- Experience with big data technologies (e.g., Hadoop/Spark) and scalable realtime systems that process stream data (experience)
- Proficiency in at least one systems language (Java, C++, Python) or one ML framework (Tensorflow, Pytorch, MLFlow) (experience)
- Experience in research and in solving analytical problems (experience)
Preferred Qualifications
- Machine Learning (ranking, computer vision, NLP, content recommendations, embedding, information retrieval etc) (experience)
- Strong communicator and team player with the ability to find solutions for open-ended problems (experience)
Responsibilities
- Lead your own project start to finish to contribute in 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
- Scope and independently solve moderately complex problems
- Demonstrate accountability for the quality and completion of your tasks and projects, collaborating with your team and seeking guidance as needed
Benefits
- general: Meaningful Work: Contribute to projects that impact millions of users worldwide
- general: Mentorship: Learn from and be guided by experienced engineers and researchers in the field
- general: Growth and Development: Participate in professional development workshops and networking events to build your skills and connections
Tags & Categories