💻 Internship Impact As a Software Engineer Intern, you’ll ship production code that impacts millions of users. You’ll be embedded in one of our core teams: Frontend: Build responsive UIs with React/TypeScript Backend: Scale microservices handling 10K+ RPS ML Infrastructure: Optimize recommendation systems Mobile: Enhance our iOS/Android apps 🔧 Key Projects ✔️ Develop features for creator monetization tool s✔️ Optimize API response times for feed loadi ng✔️ Implement real-time notifications using WebSock ets✔️ Contribute to our design system component lib r a ry 🛠 Tech Stack You’ll Use Frontend: React, Next.js, Gra phQLBackend: Node.js, Python , GoMobile: Swift, Kotlin, React Na tiveInfra: AWS, Kubernetes, R edisML: PyTorch, TensorFlow Ser v i ng 🎯 We’re Looking For Pursuing BS/MS in Computer Science or related f ieldProficiency in one modern language (JavaScript, Python, e tc.)Experience with web or mobile development (personal projects cou nt!)Strong problem-solving skills (LeetCode/CodeSignal is a p lus)Passion for building social prod u c ts ✨ Perks & Gr o wth Ownership: Deploy code to production We ek 1Mentorship: Paired with a senior engi neerLearning: $1K tech stipend for courses/b ooksFun: Team hackathons with $5K prize poolReturn Offers: 80% of interns receive FTE of fers

Internship Overview As a Data Scientist Intern, you will work alongside our data team to analyze user behavior, improve recommendation systems, and uncover insights that shape product strategy. This is a hands-on role where you’ll apply statistical modeling, machine learning, and big data tools to real-world challenges in social media. Key Responsibilities Analyze large-scale user data to identify trends in engagement, retention, and content performance. Develop and test machine learning models (e.g., for recommendations, sentiment analysis, or spam detection). Collaborate with product and engineering teams to design A/B tests and measure impact. Build dashboards and visualizations to communicate insights (using Python, SQL, Tableau, etc.). Research cutting-edge techniques in NLP, computer vision, or graph analytics (as applicable). Document findings and present recommendations to stakeholders. Qualifications & Skills Required: Pursuing a degree in Data Science, Computer Science, Statistics, or a related field. Proficiency in Python (Pandas, NumPy, Scikit-learn) and SQL. Familiarity with machine learning concepts (supervised/unsupervised learning, neural networks). Experience with data visualization (Matplotlib, Seaborn, Tableau/Power BI). Strong analytical and problem-solving skills. Curiosity about social media dynamics and user behavior. Preferred (Bonus Skills): Knowledge of big data tools (Spark, Hadoop) or cloud platforms (AWS, GCP). Exposure to deep learning frameworks (TensorFlow, PyTorch) or NLP (BERT, GPT). Previous internships or projects involving social media data analysis. Active GitHub profile or portfolio showcasing data science work. Why Join MOC Spark? Real-world impact: Your work will directly influence millions of users. Mentorship: Learn from senior data scientists and engineers. Perks: Flexible hours, stipend/compensation, Path to full-time: Top performers may receive return offers.