Senior Machine Learning Engineer (RecSys)

TL;DR

Senior Machine Learning Engineer (RecSys): Designing and implementing ranking and retrieval models for immersive video streaming platforms with an accent on real-time recommendation systems and infinite scroll timelines. Focus on developing end-to-end ML pipelines and exploring algorithms for short-form video generation.

Location: Remote

Company

A pioneering technology company building the next generation of spatial media and immersive streaming experiences.

What you will do

• Design and implement ranking and retrieval models for search and related content.
• Build real-time recommendation systems for video feeds and infinite scroll timelines.
• Develop end-to-end ML pipelines and contribute to backend infrastructure.
• Explore and implement algorithms for short-form video generation.
• Create scalable, reproducible ML solutions with clear documentation.

Requirements

• 2+ years of hands-on experience in machine learning or related fields.
• Strong proficiency in Python, including data structures and algorithms.
• Advanced SQL knowledge.
• Experience with PyTorch or TensorFlow, CatBoost, XGBoost, Airflow, and MLflow.
• Background in recommendation systems, pattern recognition, or data mining.
• Ability to work as an independent contractor (B2B).

Nice to have

• Experience with search system design and performance optimization.
• Familiarity with FastAPI, CI/CD, and Kubernetes.
• MSc in Computer Science, Mathematics, or a related field.

Culture & Benefits

• Remote-first culture with flexible working hours.
• Direct impact on the future of immersive media.
• Access to all necessary tools and technology.
• Unlimited DeoVR Premium subscription.
• Collaborative environment that values initiative and clarity.

Hiring process

• HR screening (30 min).
• Team interview (1 hour).
• CEO interview (30 min).