Machine Learning Engineer

🕒 June 1

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Multi Media, LLC

WebsiteLinkedInAll Job Openings

51 - 200 employees

📱 Media

🔐 Security

📡 Telecommunications

Media • Security • Telecommunications

Multi Media, LLC is a leading provider of live streaming video solutions and engaging community forums. The company specializes in building cutting-edge web platforms that facilitate real-time interaction and live events, such as sports and concerts. With a focus on innovation, Multi Media, LLC offers advanced analytics, enterprise-grade security, and custom payment solutions to enhance user experience and drive growth. The company ensures secure broadcasting with 256-bit AES encryption and meets high standards of password management, 2FA, SSL, and payment processing compliance. With 220,000 active users per second, Multi Media, LLC broadcasts high-quality 4K and HD video streams across multiple devices, supporting a large and secure streaming community.

📋 Description

• 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. • Bonus points: Experience with search systems, ranking systems, recommendation engines, embeddings, or information retrieval.

🏖️ Benefits

• Fair and competitive base salary • Fully Remote Optional • Health, Vision, Dental, and Life Insurance for you and any dependents, with policy premiums covered by the Company • Long & Short term disability insurance • Unlimited PTO • Annual Year-End Company Closure • Optional 401k with 5% matching • 12 Paid Holidays • Paid Lunches in-office, or if Remote, a $125/week stipend via Sharebite • Employee Assistance and Employee Recognition Programs • And much more!