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Hike is a social & content platform focused on privacy, expression and bite-sized content. A place where you can privately chat with friends and also consume snackable content like news, cricket scores, fun stuff, entertainment etc, catered specifically for the Indian audience.
Hike is Delhi HQ, launched on 12/12/12 and acquired a user base of over 100 million since then. 90% of Hike users are between the age of 15-24 years and 95% of its users are based in India. On average, Hike’s highly engaged user base transacts over 40 billion messages per month and spends over 24 min per user per day on the platform. Some of our top Operating Values:
Be Customer Obsessed:
Always work backward from what the customers want. Talking to customers, for example, is a great way to get out of our heads and put all the theories running wild in our minds to test.
Obsess to Simplify:
Obsess over this. Simplify, simplify, simplify. This is key to shipping things out there quickly. This allows us to keep the speed of iteration incredibly fast and users also get quicker updates at high quality.
Hustle. Progress > Perfection:
Just keep moving and aim for the 1% improvements every day. Hustle.
Our Mission is to reduce people’s dependency on the keyboard. In a country like India with 20+ languages and dialects, the input is a big problem.
As a ML Scientist, you play a crucial role in solving the unique challenges that arise as we bring the next billion people online. You mine one of the biggest repositories of user insight in India – working in areas such as recommender systems, user modeling, spam filtering, fraud detection, conversation and emotion modeling, social graph mining, graph search, viral growth modeling, churn modeling etc.
Roles & Responsibilities
- You create intelligent and highly relevant experiences in our products that wow our users
- You analyse peta-scale data to train ML models and evaluate them with the right metrics
- You work with engineers to create ML pipelines that process and mine massive scale data
- You partner with product managers to make data driven decisions and help solve the right problems for our users
- You champion the culture of experimentation and enable the team to live the Hike code
- BTech/MTech/PhD from a reputed institution. Masters/ PhD is preferred.
- 4-10 years of relevant experience applying machine learning, statistics, text-mining, social network analysis, information retrieval, information extraction, AI, deep learning etc.
- Strong depth and breadth of knowledge in different areas of data mining as well as reasonable programming and design skills to manipulate Big Data and build prototypes that work on massive datasets.
- Work experience in an Internet company preferred.
- Strong programming experience in at least one of the programming languages such as - Python, C/C++, Java, Scala
- Experience in using tools such as Scikit-Learn, Spark MLlib, R, Weka, GATE, Cluto, Solr. / Lucene, ML-Pack, Vowpal Wabbit, LibSVM, Mallet etc.
- Peer-reviewed publications at top international conferences/ journals in fields related to data mining, knowledge discovery and machine learning is a plus.
- Experience in handling big data technologies such as Hadoop/ MapReduce, Spark, HBase, Cassandra, Storm, Hive, Pig etc. is a plus.
- Exceptional problem-solving skills and strong business/ product thinking.