Machine Learning Engineer

Multi Media, LLC is the company behind Chaturbate, a leading live streaming platform. They are seeking a Machine Learning Engineer to build and improve production-grade machine learning systems that enhance search, recommendations, and user experiences across their platform.

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