Principal Machine Learning Engineer (London Area)

Who are we and What do we do?

From the humble idea of giving all regional languages a stage to successfully building India's No.1 social media platform, we've 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 monthly shares. Valued at $5 billion, ours is a story of disrupting the digital narrative as we build Bharat’s 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 world's 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 Bharat’s 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 not only understand user needs and preferences, but also help 100 million+ creators grow their audiences on our platforms. A subset of the problems we tackle include:

• Create personalized feeds for 300+ million users via real-time candidate generators, multi-task prediction models, whole-page optimization, and in-session personalization.
• Nurturing our 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. Explore our team’s publications and researchhere.

What You’ll Do?

As aPrincipal Machine Learning Engineerin the ShareChat AI team, you will play a pivotal role in defining and executing the ML strategy across key business domains. You will serve as one of the senior-most individual contributors in machine learning, with opportunities to lead and contribute to multiple high-impact areas such as:

• Recommendation Systems: Deliver a world-class personalized user experience by driving innovations in feed ranking and content recommendation.
• Trust & Safety: Safeguard the platform using advanced multi-modal models and behavior modeling & network analysis
• Advertising Models: Ensure sustained revenue growth by building models that optimize advertiser satisfaction without compromising user experience.
• Technical Leadership: Set the standard for engineering excellence and guide the organization in adopting state-of-the-art machine learning techniques and tools.

You will work with cross-functional teams, collaborating closely with 10+ Machine Learning Engineers and Decision Scientists. Your primary focus will be advancing state-of-the-art personalized recommendation and ranking models that impact over 300 million users globally.

Who you are:

• Hands-on Expertise:Proven experience training, fine-tuning, and deploying large-scale machine learning models using TensorFlow, PyTorch, or similar frameworks.
• Systems Thinking:Deep experience in designing, managing, and productionizing ML pipelines, handling end-to-end machine learning systems, including data engineering, model training, and real-time inference.
• Domain Mastery:Specialization in large-scale (100M+ users) content recommendation systems, feed ranking, behavior modeling and network analysis in trust & safety. Demonstrated ability to balance competing metrics, such as maximizing advertiser ROI while maintaining high user engagement. Skilled in multi-objective optimization and AB testing frameworks.
• Thought Leader in ML:Recognized expertise with publications in top-tier applied machine learning conferences or significant contributions to the recommender systems community.
• Mentor and Influencer:A proven track record of guiding and upskilling ML teams, fostering a culture of collaboration, innovation, and accountability.
• Continuous Learner:Stay updated with cutting-edge advancements in recommender systems, machine learning, and AI, ensuring the organization is at the forefront of technological evolution.

Preferred Qualifications

• Hands-on experience in building, distributed training and serving of large-scale models using frameworks such as Tensorflow or PyTorch
• Deep understanding of the mathematical foundations of Machine Learning algorithms
• Expertise in building and applying large-scale (100M+ users) machine learning solutions for content feed ranking and personalizing recommendations.
• Expertise in NLP, Vision, behavior modeling and network analysis
• Key skills for the advertising domain (predictive modeling (CTR/CVR), multi-objective optimization, auction dynamics and behavioral targeting) is a plus
• You have a Master’s or PhD in ML, statistics, or an engineering field with 10+ years of industry experience in machine learning, including at least 5 years in large-scale systems for user engagement, personalization, or similar domains.

Where you’ll be?

Remote, UK / EU

Why join ShareChat?

• We believe in creating economic opportunities for our content creators as a shared purpose. Join us to make a tangible impact for regional Indian audiences.
• Grab an opportunity to solve complex problems powered by our AI and ML recommendation system for over 325 million monthly active users, 80 million creators and key partners.
• Drive your career growth through our upskilling programs, accelerated by values like speed and ownership.
• You get a chance to work with top talent across the globe in a collaborative and learning culture.
• Experience growth in a people-first organisation with unparalleled rewards and employee-centric policies, including ESOPs, monthly childcare allowance, insurance, and more.