Role Description
**\<Job Overview>**
Join our innovative team as an AI Engineer Intern specializing in Speech, Reinforcement Learning (RL), and Scale AI projects. This paid internship offers a unique opportunity to work at the forefront of artificial intelligence, contributing to cutting-edge developments in natural language processing, machine learning frameworks, and large-scale data handling. You will collaborate with experienced engineers and researchers to develop, train, and deploy sophisticated AI models that enhance speech recognition systems, optimize reinforcement learning algorithms, and support scalable AI solutions. If you are passionate about pushing the boundaries of AI technology and eager to gain hands-on experience in a dynamic environment, this role is perfect for you!
**\<Responsibilities>**
* Assist in designing and implementing speech processing models using machine learning frameworks such as TensorFlow and PyTorch.
* Support the training and fine-tuning of reinforcement learning algorithms to improve decision-making processes in complex environments.
* Contribute to the development of scalable AI solutions leveraging big data tools like Hadoop, Spark, and Talend for efficient data processing.
* Collaborate on database design, ETL pipelines, and data mining tasks to prepare datasets for model training and evaluation.
* Help deploy AI models into production environments using cloud platforms like AWS, ensuring robustness and scalability.
* Work with natural language processing techniques to enhance speech recognition accuracy and language understanding capabilities.
* Participate in research activities involving unsupervised learning methods and quantum engineering concepts to innovate new approaches.
**\<Experience>**
* Currently pursuing a degree in Computer Science, Data Science, Electrical Engineering, or a related field with a strong interest in AI development.
* Hands-on experience with programming languages such as Python, Java, C, or Bash (Unix shell).
* Familiarity with machine learning frameworks including TensorFlow or PyTorch.
* Knowledge of SQL and NoSQL databases along with experience in data analysis tools like Looker or SAS.
* Understanding of big data technologies such as Hadoop, Spark, and ETL processes for managing large datasets.
* Exposure to natural language processing techniques and reinforcement learning concepts is highly desirable.
* Prior experience with model training, deployment workflows, or research projects involving AI is a plus. Embark on an exciting journey where your skills will directly impact the future of intelligent systems! We’re committed to fostering growth through meaningful work experiences that challenge your abilities while supporting your professional development in the fast-evolving world of AI technology.
Pay: $35\.00 - $40\.00 per hour
Expected hours: 40\.0 per week
Benefits:
* Health insurance
* Paid time off
Work Location: In person