Machine Learning Engineer

Multi Media, LLC

Machine Learning Engineer at Multi Media, LLC enhancing AI and ML systems for global-scale consumer platforms. Collaborating with cross-functional teams to improve recommendations and user engagement.

Posted 6/1/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $180,000 - $200,000 per yearWebsite

Tech Stack

Tools & technologies

NumpyPandasPythonPyTorchScikit-LearnTensorflow

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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!

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

machine learningPythonML pipelinesmodel developmentpredictive modelingcomputer visionrecommendation systemsdata evaluationmodel architecturescalability

Soft Skills

strong communicationcollaborationproblem-solvingreasoningcross-functional teamwork