Talentd
HikeOpen, posted Software & Technology

Hike is hiring ML Engineer Intern | Remote | 30k/month

Takes batch 2024, 2025, 2026InternshipRemote
Salary₹17K–33K a month
ExperienceStudents
LocationRemote
DegreeB.Tech / M.S. in Computer Science, Information Technology, Mathemat…
Posted
Apply on linkedin.comSaveOpens Hike's own form. Talentd never charges you.
Before you apply

Free, 3 of each a month. Or have a person review your resume, ₹499.

Job Description

Join the mission at Hike to redefine gaming with the Rush Gaming Universe—an innovative leap into Web3 gaming. As an ML Engineer Intern, you’ll help build immersive experiences and cutting-edge AI systems that transform gaming as we know it.

Responsibilities

Strategy

  • Work on the Multi-Agent AI Analytics System to enhance scalable conversational insights
  • Design and refine machine learning models for real-time personalization, player matchmaking, and churn prediction
  • Conduct experimentation to increase user engagement, retention, and monetization using user-level intelligence

Operations

  • Monitor and maintain real-time data pipelines supporting anomaly detection, matchmaking services, and feature stores
  • Optimize ML inference for live gameplay applications such as spin-the-wheel rewards, sticker recommendations, and GBM matchmaking

Collaboration

  • Work closely with product, design, and backend teams to translate insights into player-centric features
  • Lead efforts in implementing AI-driven tooling and automating internal workflows across the team

Candidate Profile

  • Strong foundation in Python and the machine learning ecosystem
  • Sound understanding of data structures, algorithms, and system design principles
  • Experience through coursework or personal projects in ML fundamentals including regression, classification, and deep learning models
  • Familiarity with SQL and enthusiasm for working with data pipelines and large-scale systems
  • Self-motivated learner with a strong passion for staying current with AI trends and technologies
  • Proficiency in AI tools like Cursor, GPT, Claude to boost development speed
  • Effective communicator with a collaborative, team-first attitude

Technical Skills Required: Python, NumPy, Pandas, Scikit-Learn, TensorFlow, SQL, Kafka, MongoDB, BigQuery, Data Structures, Algorithms, System Design, Regression, Classification, Deep Learning, Agentic AI, AI Tools (e.g., Cursor, GPT, Claude)

Perks & Benefits

Hike offers a host of attractive benefits and perks for interns. To learn more, visit work.hike.in.

Skills and topics

More jobs like this

Preparing for the SQL round?

Most data and analyst interviews have a SQL round. The SQL Interview Kit has 1,015 questions with worked answers, from joins and window functions to the business scenarios interviewers give, each one run on MySQL and PostgreSQL.

See the SQL Interview Kit PDF, one-time payment. Full refund within 30 days if you haven't downloaded any file.

About Hike

Software & Technology · Founded 2012 · HQ New Delhi, Delhi, India
Company page

Hike is an Indian technology startup best known for developing Hike Sticker Chat, a messaging platform that integrated rich, expressive stickers, AI-powered features, and localized content tailored to the diverse linguistic and cultural landscape of India. Founded in 2012 by Kavin Bharti Mittal, Hike aimed to redefine communication for young users by…

Size
201–500 people
Open jobs on talentd
This one
Pay in this post
₹17K–33K a month
Founded
2012
Headquarters
New Delhi, Delhi, India
Website
hike.in

Similar companies hiring freshers

Questions about this job

Can 2026 graduates apply for this Hike ML Engineer Intern job?

Yes. The post takes batch 2024, 2025 and 2026, and asks for B.Tech / M.S. in Computer Science, Information Technology, Mathematics, Statistics, or a related field, with no experience needed.

What is the salary for ML Engineer Intern at Hike?

The post lists ₹17K–33K a month.

How do I prepare for the Hike interview?

Revise the skills the post asks for (NumPy, Pandas and Python) and practise common fresher interview questions on FleetCode.

Hike
Apply