ML Engineer Intern

Summary

Join Hike, a company revolutionizing gaming and tech with innovative and immersive experiences in Web3 gaming, and help redefine fun and ownership. As a key player in this exciting frontier, you will work extensively on our Multi-Agent AI Analytics System, design and iterate on ML models, and drive experimentation to boost engagement and monetization. You will also monitor real-time data pipelines, optimize ML inference, and collaborate with product, backend, and design teams. This role requires strong programming abilities in Python with the ML/AI stack, a good grasp of data structures and algorithms, and familiarity with SQL and data pipelines. The ideal candidate will be a final-year B.Tech/M.S. student or recent graduate with a collaborative mindset and a desire to stay on top of the latest AI developments. Hike offers tremendous benefits and perks; check out work.hike.in for more details.

Requirements

• Final-year B.Tech/M.S. student or recent graduate in CS, IT, Math, Stats, or related field
• Solid programming abilities in Python with the ML/AI stack (NumPy, Pandas, Scikit-Learn, TensorFlow)
• Good grasp of Data Structures, Algorithms, and basic system-design concepts
• Coursework or projects demonstrating machine-learning fundamentals (regression, classification, DL models, Agentic AI)
• Familiarity with SQL and eagerness to dive into data pipelines (Kafka, MongoDB, BigQuery, or similar)
• Ability to be self-directed and learn quickly, with a strong desire to stay on top of the latest AI developments
• Comfort using AI tools—Cursor, GPT, Claude—to accelerate development
• Strong written and verbal communication skills; collaborative mindset

Responsibilities

• Work extensively on our Multi-Agent AI Analytics System, expanding capabilities to deliver conversational insights at scale
• Design and iterate on ML models powering real-time personalization, matchmaking, and churn prediction
• Drive experimentation that boosts engagement, retention, and monetization through user-level intelligence
• Monitor real-time data pipelines that feed anomaly detection, feature stores, and matchmaking services
• Optimize and benchmark ML inference for live gameplay scenarios (spin-the-wheel rewards, sticker recommendations, GBM matchmaking)
• Partner with product, backend, and design to turn insights into delightful player experiences
• Champion AI-driven tooling and workflow automation across the team