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SalaryGuide

Machine Learning Engineer II, Marketing

SalaryGuide, El Paso, Texas, United States

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Responsibilities

Design, develop, and implement scalable machine learning solutions to address key challenges in our marketplace ecosystem.

Collaborate with product managers, data scientists, and engineering teams to understand business requirements and translate them into technical solutions.

Engage with stakeholders across departments to ensure ML models are integrated effectively and aligned with business objectives.

Continuously refine and improve algorithms to enhance operational efficiency and customer satisfaction.

Lead efforts in deploying ML models into production, ensuring robustness, scalability, and maintainability.

Stay updated with the latest advancements in machine learning and AI, applying innovative techniques to our solutions.

Participate in team-matching exercises to identify the best fit for your expertise among our various ML teams

Requirements

Graduate degree (Master’s or PhD) in artificial intelligence, machine learning, operations research, or a related field, or equivalent self-study and experience.

Strong programming skills in Python, with proficiency in data manipulation tools such as SQL and Pandas.

Experience with machine learning frameworks and libraries, including scikit-learn, XGBoost, Keras, and TensorFlow.

Excellent analytical skills with a proven track record of solving complex problems.

Minimum of 5+ years of industry experience applying machine learning to real-world problems involving large datasets.

Experience in deploying machine learning models into production environments and optimizing solutions for marketplace challenges is highly desirable.

Preferred

Knowledge of deep learning methodologies and frameworks is preferred.

Benefits

Flexible work arrangements including remote work options

Comprehensive health, dental, and vision insurance plans

Equity grants and annual refresh grants for eligible employees

Generous paid time off and holiday leave policies

Opportunities for professional growth and development within a rapidly expanding company

Inclusive and collaborative work environment that values diversity and innovation

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