Staff ML Engineer

Staff Machine Learning Engineer
ShareChat () is India\’s largest homegrown social media company, with 325+ million monthly active users across all its platforms including Moj, a leading short video app which was launched in a record 30 hours in 2020. 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. 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.

Serving recommendations to 300 million users entails developing large scale personalization and recommendation models that not only understand user needs and preferences, but also help 100 million+ creators grow their audiences on our platforms. Nurturing our content and creator ecosystem, and developing models for strategic content valuation.
Multi-objective balancing and long term measurement.

We rely extensively on state-of-the-art ML around personalization, deep learning, bandits, causal inference, optimization, ranking and recommendation.

AI – Our AI teams are spearheading the research and development, presenting innovations at various conferences. Within the Sharechat AI team, we are looking for an experienced Staff ML engineer to lead the ML efforts around improving personalization models, leading efforts across 10+ MLEs and decision scientists working on feed ranking and candidate generation systems that power Sharechat’s recommender systems. In this role you will help us further improve our recommendation systems, and act as a subject matter expert in the recommender systems and ML ranking domains.

Design and help develop systems that serve recommendations to over 300 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 & 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

Hands-on experience training and serving large-scale models using frameworks such as Tensorflow or PyTorch
Experience productionising 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 the 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 is a plus
You have a Master’s or PhD in ML, statistics, or an engineering field with 8+ years of experience

Fully remote within the UK or a European time zone.

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, remote working, monthly childcare allowance for women employees, insurance coverage, and more.