Machine Learning Engineer

Role Type: Machine Learning EngineerReporting to: Director of Data Science (role we are currently recruiting for #174682)Location: Hybrid(New York, Fort Worth, Ann Arbor), OR remoteTravel Expectation: at least 4x a year to visit with teamsTime zone: flexible - team works across multiple time zonesSalary: $190 -$215 base + 5%-10% bonusJoin 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 experienceExperience in mode based modelingExpertise 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: 2024-11-10