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Machine Learning Engineer

6 hours, 18 minutes ago
United States
Full-time
Mid Level
Machine Learning Engineer
Software Development
Computer Vision LLM Machine Learning NumPy Pandas Python PyTorch Scikit-learn TensorFlow XGBoost
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Multi Media

Multi Media

Multi Media LLC is a leading live streaming technology company that provides innovative live streaming video solutions, engaging community forums, data insights, encryption, custom payment technology, global compliance, and smart in-app messages. Their...

Internet Software & Services
51-250
Founded 2011
View All Jobs 8

Description

  • Build, maintain, and improve production machine learning systems across 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 ML 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 machine learning systems.
  • Collaborate with Data Science, Product, Engineering, and other cross-functional partners to translate requirements into scalable ML solutions.
  • Evaluate tradeoffs and deliver ML work that creates measurable product and business impact.
  • Participate in technical design discussions covering model architecture, data pipelines, evaluation methods, deployment, 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.
  • Bonus points: Experience with search systems, ranking systems, recommendation engines, embeddings, or information retrieval.

Benefits

  • Fair and competitive base salary with a posted range of $180,000 - $200,000 USD.
  • Fully remote work.
  • Optional Health, Vision, Dental, and Life Insurance for you and any dependents, with premiums covered by the company.
  • Long- and short-term disability insurance.
  • Unlimited PTO.
  • Annual year-end company closure.
  • Optional 401(k) with 5% matching.
  • 12 paid holidays.
  • Paid lunches in-office, or a $125/week Sharebite stipend for remote employees.
  • Employee Assistance and Employee Recognition Programs.

Interested in this position?

Apply directly on the company website

Apply Now

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