Jobs at ShareChat
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Must have skills
Good to have skills
About this Opportunity
Who are we and What do we do?
ShareChat (https://sharechat.com/about) is India's largest homegrown social media company, with 400+ million monthly active users across all its platforms including Moj, a leading short video app which was launched in a record 30 hours.
Founded in October 2015, with a vision of building an inclusive community that encourages & empowers each individual to share their unique journey and valuable experiences with confidence.
ShareChat is valued at $5 bn. We are spearheading India's internet revolution by building products through world-class AI & tech to evangelize the content ecosystem for India in regional languages.
We believe in complete ownership of problem-solving while committing to speed and integrity in everything we do. We place the utmost importance on user empathy & strive to work towards creating a world-class experience for them every day. Join us to drive how the next billion users will interact on the internet!
What does the team do?
The Ads Features and Data team plays a pivotal role in the optimization of recommendation algorithms by focusing on several key responsibilities. First and foremost, we meticulously scrutinize and validate the integrity of data, recognizing its fundamental importance in shaping the efficacy of the algorithms. Additionally, the team is dedicated to building robust event pipelines that are both scalable and efficient, encompassing vital stages such as data ingestion, processing, transformation, and optimized storage. Our efforts extend to the development of reliable monitoring dashboards, ensuring swift identification and resolution of any potential issues that may arise. Furthermore, the team leverages machine learning techniques to acquire high-quality features, a process that ultimately bolsters the precision and effectiveness of ad recommendations. This comprehensive approach underscores the team's commitment to maintaining data integrity, optimizing pipelines, and harnessing machine learning to enhance the overall performance of ad recommendations.
What You’ll Do?
Design and develop systems that serve ad recommendations to over 300 million users
Develop and maintain scalable and efficient machine learning systems and pipelines for data processing, feature extraction, model training, and deployment.
Develop highly scalable feature pipelines aimed at ad prediction systems, which associate ads with users according to relevance, while maximizing revenue for ShareChat.
Improve system design and architecture to ensure high stability and performance
Build monitoring dashboards to keep a check on healthy functioning of critical services and jobs responsible for powering suggestions across different real estates on the application
Enhance team’s productivity and efficiency by contributing to modular code development, tools, libraries and easy to follow technical documents.
Collaborate with other teams to build tools and platforms to enhance ML engineering productivity
Partner with peers and work in an environment that support your growth
Who are you?
1-2 years of experience in a consumer facing large scale application
Strong CS fundamentals with a track record of writing production-quality code in a modern high-level programming language
Excellent coding skills in at least one of Go, Python, NodeJS, C/C++, Java, Scala
Experience in automated software testing
Experience using cloud-based open source tools in Linux/Unix environments (GCP is a plus)
Strong communication skills
Experience with distributed systems, scalable data processing frameworks (e.g., Spark,Kafka) and noSQL systems (e.g., HBase, Cassandra) are a plus.
Experience in AI/ML and distributed systems is a plus
Where will you be?
Bangalore
Know more about us:
Get to know our Co-Founder & CEO Spotify
What's in it for you?
At ShareChat, our values - Ownership, Speed, User Empathy, Integrity, and First Principles - are at the core of our ways of working. We believe in hiring top talent and grooming future leaders by providing a flexible environment to aid growth and development. We also offer several benefits to our employees - like ESOPs, monthly childcare allowance for women employees, insurance coverage, and more.
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