Hike is looking for an ML Engineer Intern to join us in building the Rush Gaming Universe. In this remote role, you’ll focus on expanding our Multi‑Agent AI Analytics Systems, developing ML models for personalization and matchmaking, and optimizing data pipelines.

What You'll Do

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 like spin‑the‑wheel rewards, sticker recommendations, and GBM matchmaking.
Partner with product, backend, and design teams to turn insights into delightful player experiences.
Champion AI‑driven tooling and workflow automation across the team.

What We're Looking For

Final‑year B.Tech/M.S. student or recent graduate in CS, IT, Math, Stats, or a 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—such as Cursor, GPT, or Claude—to accelerate development.
Strong written and verbal communication skills with a collaborative mindset.