Hike is seeking a Machine Learning Engineer Intern to join their team remotely.
The company is focused on revolutionizing gaming and tech by blending innovation and immersive experiences, particularly in the Web3 gaming space.
Interns will work extensively on the Multi-Agent AI Analytics System to deliver conversational insights at scale.
Responsibilities include designing and iterating on ML models for real-time personalization, matchmaking, and churn prediction.
The role involves driving experimentation to enhance user engagement, retention, and monetization through user-level intelligence.
Interns will monitor real-time data pipelines for anomaly detection, feature stores, and matchmaking services.
They will optimize and benchmark ML inference for live gameplay scenarios, such as rewards and recommendations.
Collaboration with product, backend, and design teams is essential to turn insights into engaging player experiences.
Interns will also champion AI-driven tooling and workflow automation across the team.
Requirements:
Candidates must be final-year B.Tech/M.S. students or recent graduates in Computer Science, IT, Math, Stats, or a related field.
Solid programming skills in Python with experience in the ML/AI stack, including NumPy, Pandas, Scikit-Learn, and TensorFlow, are required.
A good understanding of Data Structures, Algorithms, and basic system-design concepts is necessary.
Coursework or projects demonstrating machine-learning fundamentals, such as regression, classification, deep learning models, and Agentic AI, are expected.
Familiarity with SQL and a willingness to engage with data pipelines (Kafka, MongoDB, BigQuery, or similar) is important.
Candidates should be self-directed learners with a strong desire to stay updated on the latest AI developments.
Comfort using AI tools like Cursor, GPT, and Claude to accelerate development is required.
Strong written and verbal communication skills, along with a collaborative mindset, are essential.
Benefits:
Hike offers tremendous benefits and perks for their employees.
Specific details about the benefits can be found on their website.