Python AND TensorFlow Machine Learning Intern - Virtual
Amazon
Available Locations:
Brooks, Ontario
Job Description
Job Summary
Amazon is seeking a highly motivated Machine Learning Intern with a strong foundation in Python and TensorFlow to join our cutting-edge virtual internship program. This role is ideal for students or recent graduates eager to gain real-world experience working on impactful machine learning projects. As an intern, you will be collaborating with Amazon’s AI/ML teams to solve real business challenges, build intelligent systems, and innovate at scale.
Key Responsibilities
- Assist in designing, developing, and optimizing machine learning models using Python and TensorFlow.
- Collaborate with data scientists, software engineers, and research teams to analyze large datasets and generate meaningful insights.
- Participate in end-to-end ML lifecycle, from data preprocessing and feature engineering to model deployment and evaluation.
- Document model development processes and present findings to internal stakeholders.
- Implement experiments to test model performance and validate hypotheses.
- Contribute to automation of ML pipelines and continuous model improvement.
Required Skills and Qualifications
- Proficiency in Python with hands-on experience in data science or machine learning projects.
- Strong understanding of TensorFlow or similar ML frameworks (e.g., PyTorch, Keras).
- Knowledge of data structures, algorithms, and object-oriented programming.
- Ability to preprocess, clean, and manipulate large datasets.
- Solid understanding of supervised and unsupervised learning techniques.
- Strong communication and teamwork skills in a collaborative virtual environment.
Experience
- Previous internship, personal, or academic projects involving machine learning or data science is highly desirable.
- Familiarity with Amazon Web Services (AWS) such as S3, SageMaker, or Lambda is a plus.
- Contributions to open-source ML projects or Kaggle competitions are an added advantage.
Working Hours
- Flexible working hours (10–20 hours/week recommended)
- Fully remote; suitable for candidates in any time zone
- Collaborative meetings may require some overlap with Pacific Standard Time (PST)
Knowledge, Skills, and Abilities
- Analytical mindset with attention to detail and a passion for problem-solving
- Ability to work independently and take initiative on assigned tasks
- Excellent written and verbal communication skills
- Quick learner with a growth mindset and interest in AI innovations
- Ability to manage time effectively in a self-paced remote setup
Benefits
- Work with one of the world’s leading tech companies
- Mentorship from senior data scientists and ML engineers at Amazon
- Gain exposure to real-world machine learning projects and workflows
- Amazon Internship Certificate upon successful completion
- Networking opportunities within Amazon’s tech and innovation community
- Potential pathway to full-time roles after graduation
Why Join Amazon’s Virtual Internship Program?
At Amazon, we are driven by the mission to be Earth’s most customer-centric company. By joining our internship program, you will be immersed in a culture of innovation, continuous learning, and impact-driven development. Our virtual internships provide an inclusive platform for global talent to thrive, contribute, and grow — regardless of location. You’ll gain not only technical skills but also professional development support in a highly respected global brand.
How to Apply
Ready to kick-start your machine learning career at Amazon? Follow these steps:
- Prepare your updated resume highlighting Python and TensorFlow experience.
- Include links to GitHub, Kaggle, or any portfolio showcasing your ML work.
- Click [Apply Now] on the Amazon Careers Portal and search for "Python AND TensorFlow Machine Learning Intern – Virtual"
- Submit your application with a short cover letter explaining why you’re a great fit.