
Senior Software Engineer
2 weeks ago
About The Role
As a Machine Learning Engineer II in Recommendation, you will be instrumental in advancing
our recommendation algorithms and content embeddings, directly driving the growth and
success of our Video and Audio Stories Platform.
Responsibilities
- Recommendation Systems: Design and develop large-scale recommendation systems serving
millions of users, with a strong focus on personalization, scalability, and efficiency.
- ML Execution: Drive the ML execution, specifically around feed ranking and recall-oriented
candidate generation systems.
- Technical Ownership: Provide guidance in ML model formulation, experimentation, and
deployment. Take end-to-end ownership of ML systems, including key user-satisfaction metrics.
- Architecture & Strategy: Contribute to the architectural strategy and design of complex ML
systems that meet the needs of users, and content stakeholders.
Requirements
- Model Training & Serving: Hands-on experience training and serving large-scale ML models
using frameworks such as PyTorch or TensorFlow.
- Production Experience: Proven track record of productionising machine learning models,
including designing and managing end-to-end ML systems and data pipelines.
- Recommendation Expertise: Direct experience in building and applying large-scale (million+
users) machine learning solutions for feed ranking and personalized recommendations.
- Research Awareness: Stay up-to-date with the latest advancements in recommender systems,
data engineering, and applied machine learning.
- Education & Experience: Bachelor's or Master's in Computer Science, Machine Learning,
Statistics, or a related engineering field, with 2-4 years of relevant experience.
Why Join Us?
- Opportunity to work in a fast-growing audio and content platform.
- Exposure to multi-language marketing and global user base strategies.
- A collaborative work environment with a data-driven and innovative approach.
- Competitive salary and growth opportunities in marketing and growth strategy.
About KUKU
Founded in 2018, KUKU is India's leading storytelling platform, offering a vast digital library of audio stories, short courses, and microdramas. KUKU aims to be India's largest cultural exporter of stories, culture and history to the world with a firm belief in "Create In India, Create For The World".
We deliver immersive entertainment and education through our OTT platforms: Kuku FM, Guru, Kuku TV, and more. With a mission to provide high-quality, personalized stories across genres from entertainment across multiple formats and languages, KUKU continues to push boundaries and redefine India's entertainment industry.
Website:
Android App: Google Play
iOS App: App Store
LinkedIn: KUKU
Ready to make an impact? Apply now
Skills: production experience,research awareness,model training & serving,recommendation expertise
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