Senior Machine Learning Engineer (RecSys)
Indexed description
DeoVR is the leading immersive streaming technology serving multiple enterprise customers and millions of users globally.
We are now expanding the boundaries of what video can be - moving from passive watching to active, interactive, multi-user journeys.
If this excites you more than it scares you, you are in the right place.
The Role
We are looking for an experienced Machine Learning Engineer to join our team.
If you're passionate about recommendation systems and video streamings we'd love to hear from you.
What You Will Do
- Design ranking and retrieval models for main page, related content, and search.
- Build real-time recommendation systems for videos, shorts and infinite scroll timelines.
- Develop end-to-end recommendation pipelines, contributing to backend.
- Exploring algorithms for Shorts (short videos) generation.
- 3+ years of hands-on experience in machine learning or related fields.
- Strong Python skills, including data structures, algorithms.
- Advanced SQL knowledge.
- Proficient with PyTorch or TensorFlow, and experience with tools like CatBoost, XGBoost, and Airflow and MLflow.
- Background in machine learning, classification, recommendation systems, pattern recognition, data mining, AI, or similar technical areas.
- Proven ability to build scalable, reproducible ML pipelines and create clear documentation.
- Search system design & development; performance optimization; familiarity with FastAPI, Ci/CD and Kubernetes.
- MSc in CS, Math or related
- HR screening (30 min)
- Team Interview (1 hour)
- CEO Interview (30 min)
- The chance to be part of a pioneering team in a rapidly evolving industry
- Direct impact on the future of immersive media
- Flexible working hours and remote-first culture
- A team that values initiative, clarity, and collaboration
- Access to all tools and tech you need
- Unlimited DeoVR Premium
- A work environment where ideas matter and people are treated with respect
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