Staff machine learning engineer (Bengaluru)

Staff machine learning engineer (Bengaluru)

17 Aug
|
Sharechat
|
Bengaluru

17 Aug

Sharechat

Bengaluru

Who are we and What do we do?
Share Chat (Mohalla Tech Pvt Ltd) is India’s largest homegrown social media company and the only local player to achieve profitability in the industry, with 200+ million Monthly Monetizable Users across all its platforms.
Founded in 2015, Share Chat has social media brands such as the Share Chat App and Moj App and micro drama app Quick TV under its portfolio. Quick TV, the newest addition to Share Chat's family of apps, crossed the 10 million downloads mark within 3 months of launch and currently has 60 Mn MAUs across the network viewing the vertical episodic content.
Today, the Share Chat network maintains a whopping 1,000 Cr ARR and is India’s leading social media platform servicing users across the country in 15 regional languages. This growth has led to a 28% Yo Y revenue growth in the July-Sept ) quarter and increased it by more than 60% in the Oct-Dec quarter.
What You’ll Do?
Design and help develop systems that serve recommendations to over 200 million users.
Drive ML roadmap creation and execution,



specifically around feed ranking and recall-oriented candidate generation systems.
Provide technical guidance in ML model formulation, implementation, and experimentation, and take end-to-end ownership of ML systems and key user satisfaction-based metrics.
Drive architectural strategy and design for complex ML systems that support the needs of users, creators, and content stakeholders.
Who are you?
8+ years of qualified experience in software engineering focused on deploying machine learning models in production at scale.
Hands-on experience training and serving large-scale models using frameworks such as Tensorflow or Py Torch.
Experience production using machine learning models, and managing and designing end-to-end ML systems, and data pipelines.
Deep understanding of the mathematical foundations of Machine Learning algorithms.
Direct experience in building and applying large-scale (100 M+ users) machine learning solutions for

📌 Staff machine learning engineer (Bengaluru)
🏢 Sharechat
📍 Bengaluru

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