▷ Immediate Start! Principal Machine LearningEngineer...

Job Description 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
research here. What You’ll Do? As a Principal Machine Learning
Engineer in 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.