We’re looking for a passionate and driven Associate Product Manager Intern to join our team and help shape the next generation of digital products. In this role, you’ll work closely with cross-functional teams—including engineering, design, marketing, and analytics—to support the end-to-end product lifecycle.

As an APM Intern, you’ll gain hands-on experience in product strategy, user research, feature planning, and agile execution, making real contributions to high-impact initiatives.

Key Responsibilities:

Collaborate with product managers to define product goals, roadmaps, and success metrics

Conduct market research, user interviews, and competitor analysis to inform product decisions

Translate business needs into product requirements and user stories

Partner with engineering and design teams to support feature development

Participate in agile ceremonies (standups, sprint planning, retrospectives)

Analyze user data and feedback to help prioritize product enhancements

Assist in QA/testing and help ensure smooth product launches

Key Qualifications:

Strong interest in product management and digital product development

Analytical and problem-solving mindset

Excellent written and verbal communication skills

Ability to work in a fast-paced, team-oriented environment

Basic understanding of agile methodologies

We’re looking for a creative and detail-oriented UX/UI Design Intern to join our design team and help craft intuitive, beautiful, and user-centered digital experiences. As a UX/UI Intern, you'll work on real projects alongside product managers, developers, and other designers, contributing to every stage of the design process — from user research to high-fidelity prototypes.

This is a great opportunity to sharpen your design skills, build your portfolio, and gain hands-on experience in a collaborative product environment.

Key Responsibilities:

Assist in designing user interfaces for web and mobile applications

Support user research efforts including surveys, interviews, and usability testing

Create wireframes, mockups, and interactive prototypes using tools like Figma or Adobe XD

Collaborate with developers and product managers to ensure design feasibility

Contribute to and help maintain design systems and style guides

Analyze user feedback and usage data to improve design decisions

Key Qualifications:

Strong interest in UX/UI and digital product design

Familiarity with design tools like Figma, Sketch, Adobe XD, or similar

Understanding of basic design principles, layout, typography, and color theory

Passion for creating user-centered and accessible designs

Currently pursuing a degree in Design, Human-Computer Interaction (HCI), Computer Science, or a related field

Excellent communication and teamwork skills

We’re looking for a curious, motivated, and technically skilled Machine Learning Engineer Intern to join our data and AI team. In this role, you’ll gain hands-on experience building, training, and evaluating machine learning models for real-world applications across various industries.

You’ll work closely with data scientists, software engineers, and product teams to turn data into intelligent, scalable solutions that drive decision-making and innovation.

Key Responsibilities:

Assist in designing and developing machine learning models for classification, regression, clustering, or recommendation tasks

Clean, preprocess, and analyze large datasets from diverse sources

Implement and optimize ML algorithms using Python and libraries like Scikit-learn, TensorFlow, or PyTorch

Evaluate model performance using appropriate metrics and fine-tune hyperparameters

Collaborate with engineering teams to integrate models into production environments

Document workflows, results, and experiments in a clear and organized manner

Key Qualifications:

Solid understanding of machine learning concepts and algorithms

Proficiency in Python and ML libraries (e.g., NumPy, Pandas, Scikit-learn, TensorFlow, or PyTorch)

Experience working with structured and unstructured data

Familiarity with data preprocessing, feature engineering, and model evaluation techniques

Currently pursuing a degree in Computer Science, Data Science, AI, Engineering, or a related field

Strong analytical thinking and problem-solving skills

Preferred (but not required):

Familiarity with cloud platforms (AWS, GCP, or Azure)

Basic knowledge of SQL or working with databases

Experience with version control (Git) and collaborative development

Exposure to real-world ML projects (through coursework, competitions, or personal work)