Staff Engineer

Staff Engineer, Sharechat AI
Who are we and What do we do
From the humble idea of giving all regional languages a stage to successfully building Indias No.1 social media platform, weve journeyed to turn ideas into reality. At ShareChat and Moj, our short video platform (https://sharechat.com/about), we have over 325 million users, 80 million creators, and over 2.5 billion shares every month. Valued at $5 billion, ours is a story of disrupting the digital narrative as we build Bharats content creation ecosystem.
An open, honest culture and our values, such as first principles, speed, integrity, user-centricity, and ownership, drive our teams to innovate our products every day. We are on the path to establishing ShareChat as the worlds largest AI-centered social media platform. We are thrilled to offer you the opportunity to solve complex problems at scale, learn with the best minds, pursue unstoppable growth, and, most importantly, make a far-reaching impact.
Join us to revolutionize Bharats content creation ecosystem powered by AI & ML. Scaling ideas to reality is how we do our business!
What does the team do
Serving recommendations to 300+ million users entails developing large scale personalization and recommendation models that understand user needs and preferences in realtime, while also helping creators grow their audiences on our platforms. A subset of the problems we tackle include:

• Serving personalized feeds for 300+ million users via real-time candidate generators, multi-task prediction models, whole-page optimization, and in-session personalization.
• 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, causal inference, optimization, ranking and recommendation.
AI - Our AI teams are spearheading the research and development, presenting innovations at various conferences. Click here to learn.
Learn from our CEO Ankush about our culture, innovation and growth. Click here.

What Youll Do
Within the Sharechat AI team, we are looking for an experienced Staff engineer to lead the engineering efforts around serving personalization models efficiently at scale, leading efforts across 10+ MLEs, SDEs and decision scientists working on feed ranking and candidate generation systems that power Sharechats recommender systems. In this role you will help us further improve our recommendation systems in order to drive up user retention and engagement while minimizing server and cloud costs of serving large scale models, and act as a subject matter expert in the recommender systems and ML ranking domains.
You would be joining us at an exciting time! The science behind recommendation systems is rapidly changing, and were making big progress at a rapid pace.
Who are you

• 6+ years of industry experience with a solid understanding of engineering, infrastructure and ML best practices. Strong coding skills with Go or JAVA
• Design and help develop systems that serve recommendations to over 300 million users
• Drive engineering roadmap creation and execution, specifically around feed ranking and recall oriented candidate generation systems
• Provide technical guidance in ranking systems design, 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
  

Preferred Qualifications

• Familiarity with cloud platforms such as AWS, Google Cloud, or Azure. Knowledge of containerization and orchestration tools like Docker and Kubernetes is a plus.

• Looking to get Placed? Try our Placement Guarantee Plan

  Get Hired
  Experience designing end to end ML data pipelines. Experience with database technologies such as PostgreSQL, MySQL, or MongoDB, Spark, Databricks and stream data processing such as Kafka, RedPanda is a plus.
• Direct experience in building and applying large-scale (100M+ users) machine learning solutions for personalizing recommendations.
• Hands-on experience building training frameworks and/or serving large-scale models using tools such as Tensorflow or PyTorch is a plus.
• You stay up-to-date with the state-of-the-art open source infrastructure solutions applicable to designing and improving large scale recommender systems, data engineering, and machine learning
• You have a Masters or PhD in Computer Science, statistics, or an engineering field with 5+ years of experience
  

Where youll be
Bangalore
Know more about us:

• AI @ ShareChat | AI Projects @ ShareChat/
• Our Blog
  

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