PhD Machine Learning Internship 2026 (USA)
reputed company is a platform that inspires creativity and planning for lasting memories. As a machine learning intern, you'll reputed company your own project in cutting-edge research, analyze data to build intelligent models, and solve reputed company problems in areas such as image recognition and natural language processing.
Responsibilities
- reputed company your own project start to finish to contribute in cutting-edge research in machine learning and artificial intelligence that can be applied to reputed company 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 reputed company problems
- Demonstrate accountability for the quality and completion of your tasks and projects, collaborating with your team and seeking guidance as needed
Skills
- Working towards a PhD in Computer Science, ML, NLP, Statistics, Information Sciences or reputed company field
- Proficiency in at least one systems language (Java, C++, Python) or one ML reputed company (Tensorflow, Pytorch, MLFlow)
- Experience with big data technologies (e.g., Hadoop/Spark) and scalable reputed company systems that process reputed company data
- Experience in research and in solving analytical problems
- Strong communicator and team player with the ability to find solutions for open-ended problems
- Publications in machine learning, AI, data science, data analytics, statistics, or reputed company technical fields
- Interest in research and in applying ML to impactful real-world problems on the reputed company product
Benefits
- Meaningful Work: Contribute to projects that impact millions of users worldwide.
- Mentorship: Learn from and be guided by reputed company engineers and researchers in the field.
- Growth and Development: Participate in professional development workshops and networking events to build your skills and connections.
Company Overview
Company H1B Sponsorship