MLE Intern

Company Description MockVerse is an AI-powered platform designed to bridge the gap between academic learning and real-world hiring expectations. By offering role-specific mock interviews crafted with insights from industry professionals, MockVerse enables students and early-career professionals to practice in realistic, company-style environments. The platform provides structured, data-driven feedback on skills such as communication, problem-solving, technical depth, and articulation, helping users track their progress and improve iteratively. MockVerse also partners with educational institutions to assist in scaling interview readiness and improving student outcomes. Our mission is to make high-quality interview preparation accessible to help candidates approach their job opportunities with confidence.

Role Description This fully remote MLE Internship at MockVerse is a hands-on, system-focused role centered on speech systems and conversational AI POCs. You will work on data migration, data creation, and data management tasks that directly support model development and platform improvements. The role includes exposure to GCP tools and close collaboration with our CTO Arnab. Ideal for candidates genuinely passionate about machine learning and willing to work on foundational engineering and data tasks that power real-world AI systems.

Requirements Strong command over Python Ability to understand and work with conversational/interaction data (especially SDE interview-style dialogues) Exposure to MongoDB, VS Code, GitHub, LLM workflows, and coding assistants (e.g., Antigravity) Willingness to work on core engineering tasks including data-heavy and operational work Genuine curiosity and passion for machine learning beyond buzzwords Strong ownership mindset and readiness to learn by building

Nice to Have Exposure to speech systems, NLP, or LLM-based applications Familiarity with data preprocessing, annotation, and pipeline creation Basic understanding of cloud environments (preferably GCP)

Who Should Apply Students or recent graduates in Computer Science, AI, Data Science, or related fields who want deep, practical exposure to real-world ML systems and are comfortable getting their hands dirty working on foundational data and engineering problems that drive meaningful product improvements.

Benefits stipend: 40k INR, letter of recommendation, remote working