Machine Learning Engineer

Machine Learning Engineer

About

Multi Media LLC is the company behind Chaturbate, a high-traffic live streaming platform supporting a global network of independent content creators and millions of viewers. They deliver interactive video at scale, handling complex broadcasting, low-latency streaming, and high-engagement user experiences. They value initiative, curiosity, and a deep care for quality and impact.

Responsibilities

• Build, maintain, and improve production machine learning systems that support search, recommendations, personalization, computer vision, and predictive modeling.
• Contribute to search and discovery improvements, including ranking, filtering, relevance, exact match, boolean logic, and LLM-powered enhancements.
• Develop and integrate machine learning models that improve recommendation quality, search accuracy, behavioral analytics, and personalized user experiences.
• Write clean, reliable, and maintainable code for ML pipelines, model development, experimentation, and production workflows.
• Work with large-scale datasets to train, evaluate, monitor, and improve ML systems.
• Collaborate with Data Science, Product, Engineering, and other cross-functional partners to understand requirements, evaluate tradeoffs, and deliver ML solutions that create measurable product and business impact.
• Participate in technical design discussions for ML systems, including model architecture, data pipelines, evaluation methods, deployment approaches, monitoring, and scalability.

Requirements

• Bachelor’s degree in Computer Science, Engineering, Data Science, Mathematics, Statistics, or a similar technical field, or equivalent practical experience.
• 3+ years of experience building, deploying, or maintaining machine learning systems in production environments.
• Experience building ML models or systems at scale in areas such as search, recommender systems, personalization, computer vision, predictive modeling, or user-facing ranking systems.
• Experience working on consumer-facing products where machine learning directly impacts user discovery, engagement, retention, or personalization.
• Experience working with global-scale systems, high-traffic environments, or large-scale user behavior data.
• Excellent Python programming skills.
• Experience with common machine learning libraries, frameworks, and tooling, such as scikit-learn, PyTorch, TensorFlow, XGBoost, pandas, NumPy, or similar tools.
• Ability to reason through ML system design, including data quality, model evaluation, performance tradeoffs, scalability, reliability, and monitoring.
• Strong communication skills and experience partnering with Product, Engineering, Data Science, and other cross-functional partners to deliver practical ML solutions for complex product systems.
• Experience with search systems, ranking systems, recommendation engines, embeddings, or information retrieval is a plus.