Machine Learning Engineer

🕒 vor 2 Monaten

Jetzt Bewerben

Ähnliche Remote-Jobs finden

E-Mail-Benachrichtigung für neue Jobs einrichten

📊 Überprüfen Sie Ihre Lebenslauf-Bewertung für diese Stelle

Verbessern Sie Ihre Chancen auf ein Vorstellungsgespräch, indem Sie Ihre Lebenslauf-Bewertung vor der Bewerbung überprüfen.

Lebenslauf hochladen

Multi Media, LLC

WebsiteLinkedInAlle Stellen

51 - 200 Mitarbeiter

💼 Beratung

📣 Marketing

📱 Medien

Consulting • Marketing • Media

Multi Media, LLC ist ein führender Anbieter von Live-Streaming-Videolösungen und ansprechenden Community-Foren. Das Unternehmen spezialisiert sich auf den Bau modernster Webplattformen, die Echtzeit-Interaktion und Live-Events wie Sport und Konzerte ermöglichen. Mit einem Fokus auf Innovation bietet Multi Media, LLC fortschrittliche Analysen, Unternehmenssicherheit auf höchstem Niveau und individuelle Zahlungslösungen, um das Benutzererlebnis zu verbessern und Wachstum zu fördern. Das Unternehmen gewährleistet sicheres Broadcasting mit 256-Bit AES-Verschlüsselung und erfüllt hohe Standards im Bereich Passwortmanagement, Zwei-Faktor-Authentifizierung (2FA), SSL und der Zahlungsabwicklungs-Compliance. Mit 220. 000 aktiven Nutzern pro Sekunde sendet Multi Media, LLC hochwertige 4K- und HD-Videostreams auf mehreren Geräten und unterstützt eine große und sichere Streaming-Community.

Beschreibung

• 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.

🎯 Anforderungen

• 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.

🏖️ Vorteile

• 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!