Staff Machine Learning Engineer

Who are we and What do we do?

Any additional information you require for this job can be found in the below text Make sure to read thoroughly, then apply.

ShareChat (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, ShareChat has social media brands such as the ShareChat App and Moj App and micro drama app QuickTV under its portfolio. QuickTV, the newest addition to ShareChat's family of apps, crossed the 10 million downloads mark within 3 months of launch and currently has 60Mn MAUs across the network viewing the vertical episodic content.

Today, the ShareChat 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% YoY revenue growth in the July-Sept (2025-26) 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 professional 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 PyTorch.
• 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 (100M+ users) machine learning solutions for feed ranking, and personalizing recommendations.
• You stay up-to-date with state-of-the-art technology in the domains of recommender systems, data engineering, and machine learning.
• Relevant publications in top-tier applied machine-learning conferences are a plus.

Where will you be?

Remote

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.

Our Elite Benefits Suite:

• Wealth & Security: ESOPs and comprehensive insurance coverage.
• Lifestyle: Hybrid working culture, Gym allowance, and Zomato coupons. xwzovoh
• Family Support: Monthly childcare allowance for women employees.

And Many more…