About the Company
Qualcomm is a world leader in wireless technology innovation and the driving force behind the development, launch, and expansion of 5G. We invent breakthrough technologies that transform how the world connects, computes, and communicates. From enabling the mobile revolution to powering the IoT, automotive, and data center industries, Qualcomm is at the forefront of AI and Machine Learning research and deployment, shaping the future of intelligent devices and networks.
Job Description
Join Qualcomm’s innovative team as a Machine Learning Trainee for a dynamic 6-month paid internship. This is an unparalleled opportunity for aspiring ML professionals to gain hands-on experience in a cutting-edge environment. You will work alongside world-class engineers and researchers, contributing to real-world ML projects that impact millions of users. This program is designed to provide comprehensive exposure to the machine learning lifecycle, from data collection and model development to deployment and evaluation. We are looking for bright, motivated individuals eager to learn and grow their ML expertise.
Key Responsibilities
- Assist in the collection, cleaning, and preprocessing of large datasets for machine learning models.
- Contribute to the development and implementation of machine learning algorithms and models.
- Perform model training, validation, and evaluation, analyzing results to identify areas for improvement.
- Collaborate with senior engineers to integrate ML models into existing systems or prototypes.
- Document experiments, code, and findings in a clear and concise manner.
- Participate in team meetings, brainstorming sessions, and code reviews.
- Stay updated with the latest advancements in machine learning research and technology.
Required Skills
- Proficiency in Python programming.
- Basic understanding of machine learning concepts and algorithms (e.g., supervised/unsupervised learning, regression, classification).
- Familiarity with data structures and algorithms.
- Strong problem-solving abilities and analytical thinking.
- Excellent communication and teamwork skills.
- Currently pursuing a Bachelor's or Master's degree in Computer Science, Electrical Engineering, Data Science, or a related technical field.
Preferred Qualifications
- Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
- Familiarity with version control systems (e.g., Git).
- Basic knowledge of cloud platforms (AWS, Azure, GCP) or distributed computing.
- Completion of relevant coursework in machine learning, artificial intelligence, or statistics.
- Prior project experience (academic or personal) involving machine learning applications.
Perks & Benefits
- Competitive hourly pay.
- Direct mentorship from experienced ML engineers.
- Exposure to advanced machine learning technologies and real-world applications.
- Opportunity to contribute to impactful projects.
- Networking opportunities with industry leaders.
- Potential for conversion to a full-time position upon successful completion of the internship.
- Collaborative and inclusive work environment.
- Flexible hybrid work model.
How to Apply
If you are interested in this position, please click the "Apply Now" button below. To ensure your application is properly considered, please prepare the following:
- An up-to-date Resume or CV
- A brief cover letter summarizing your experience and motivation
Applications are reviewed on a rolling basis. Only shortlisted candidates will be contacted for an interview.
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