Machine Learning Engineer

Role Type: Machine Learning Engineer Reporting to: Director of Data Science (role we are currently recruiting for #174682) Location: Hybrid(New York, Fort Worth, Ann Arbor), OR remote Travel Expectation: at least 4x a year to visit with teams Time zone: flexible - team works across multiple time zones Salary: $190 -$215 base + 5%-10% bonus Join our team as a Machine Learning Engineer, where you'll drive innovation and business impact by developing and deploying machine learning models. You will collaborate with cross-functional teams, including data scientists and software engineers, to create solutions for complex business challenges. Key Responsibilities: Design, develop, and deploy machine learning models to solve business problems (e.g., recommendation systems, NLP, predictive analytics). Work closely with stakeholders to translate requirements into data-driven solutions. Collect, preprocess, and analyze data to optimize model performance. Monitor and maintain model performance in production environments. Stay up-to-date with the latest in machine learning research and technologies. Collaborate across teams to drive actionable insights and business decisions. Qualifications: Bachelor's degree in Computer Science, Engineering, Mathematics, or related field (Master's/PhD preferred). 3+ years of experience developing and deploying machine learning models in production. Strong programming skills (Python, Go, Perl) and experience with tools like TensorFlow, Docker, AWS, and Databricks. EXTENSIVE adtech/ad auctioning experience Experience in mode based modeling Expertise in data preprocessing, feature engineering, and model evaluation. Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes). Strong problem-solving, communication, and collaboration skills. Nice to Have: Experience with Agile/Scrum methodologies and interdisciplinary teams.

Created: 2025-01-26