Machine Learning and Artificial Intelligence Intern

What you'll do

• Research and apply machine learning methods to solve ambitious technical problems.
• Advance state-of-the-art technology through research and academic publications.
• Develop new theories to improve the understanding of machine learning capabilities.
• Design and implement innovative solutions for meaningful machine learning challenges.
• Challenge existing metrics and protocols within the field of artificial intelligence.
• Prototype and evaluate interactive systems using advanced machine learning models.
• Conduct experiments and investigations to analyze human interaction with technologies.
• Present completed projects and research findings to company leadership.

What we're looking for

• Pursue an undergraduate degree in Computer Science, Computer Engineering, Data Science, Applied Mathematics, or a related field.
• Must be returning to school after the internship or have the internship as the final requirement for graduation.
• Proficiency with object-oriented programming languages such as Python, Swift, Objective C, or Java.
• Experience with machine learning libraries including TensorFlow, PyTorch, CoreFlow, and Sklearn.
• Practical knowledge of building and adapting algorithms for machine learning, speech, multimodal sensing, and related areas.
• Familiarity with crafting, prototyping, and evaluating interactive systems.
• Excellent mathematical skills in linear algebra and statistics.
• Expertise in at least one area including statistics, econometrics, operations research, or causal inference.