FAQs
What is the duration of the internship?
The internship lasts for 12 weeks.
Is this internship paid?
Yes, this internship is a paid learning experience.
What will I be working on during the internship?
You will work on advanced machine learning and AI projects, focusing on developing and optimizing machine learning models and contributing to impactful projects that enhance product capabilities.
What qualifications are required to apply for this internship?
Candidates should be pursuing a degree in Computer Science, Data Science, Artificial Intelligence, or a related field, with a strong understanding of machine learning fundamentals and programming.
Can I apply if I am currently an F-1 student visa holder?
No, the employer does not sponsor work visas for this position, including F-1 students wishing for sponsorship after graduation.
Is there any relocation assistance offered?
Yes, relocation assistance may be provided to program participants who reside more than 50 miles from the internship location.
What programming languages and frameworks should I be familiar with?
You should be proficient in programming languages such as Python, R, or Java, and familiar with frameworks like PyTorch, TensorFlow, or scikit-learn.
Will there be mentorship during the internship?
Yes, you will receive mentorship and professional development opportunities throughout the internship.
Can I intern if I'm not a US citizen?
You must be legally authorized to work in the United States to be eligible for this internship position.
Are there opportunities for networking during the internship?
Yes, you will have opportunities to connect and network with other interns and leaders within the company.
What kind of projects can I expect to work on?
You can expect to work on hands-on projects that involve data preprocessing, model training, evaluation, and deployment, aimed at improving customer solutions and streamlining operations.
Is prior experience in AI/ML required?
While prior experience is beneficial, a strong foundation in machine learning concepts, along with a passion for problem-solving, is crucial for success in this role.