Machine Learning and Artificial Intelligence Internship

What you'll do

• Research and develop new machine learning methods to solve ambitious technical problems.
• Design and implement innovative solutions for meaningful machine learning challenges.
• Advance state-of-the-art technology through research and potential academic publications.
• Challenge existing metrics, protocols, and theories within the field of machine learning.
• Develop algorithms for areas such as speech, multimodal sensing, and large language models.
• Prototype and evaluate interactive systems to enhance user experience.
• Conduct experiments and investigations to analyze human interaction with technology.
• Present technical findings and project outcomes to company leadership.

What we're looking for

• Pursue a graduate (MS) degree in Computer Science, Computer Engineering, Data Science, Applied Mathematics, or a related field.
• Must return to school after the internship or be in the final stage of 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, and multimodal sensing.
• Familiarity with crafting, prototyping, and evaluating interactive systems.
• Excellent mathematical skills in linear algebra and statistics.
• Expertise in areas such as statistics, econometrics, operations research, causal inference, or stochastic modeling.