REPS & Co.
Machine Learning Engineer
REPS & Co., San Diego, California, United States, 92189
Founded in 2017, REPS & Co. has rapidly become a leader in data analytics in the entertainment industry. Recognized on the Forbes list of America's Best Startup Employers, we focus on delivering advanced analytics that support data-driven decisions. Our solutions provide comprehensive insights and forecasts, enabling us to have a better understanding and response to supply and demand in the ticketing world. With a commitment to driving innovation, REPS & Co. helps shape a dynamic market environment.
We are looking for an experienced Machine Learning Engineer to join our dynamic team. The ideal candidate will have a strong background in machine learning, data engineering, and statistical analysis. You will be responsible for designing and implementing machine learning models, managing data pipelines, optimizing and improving existing models, and collaborating with cross-functional teams to integrate machine learning solutions into our products. You should be comfortable working in a fast-paced startup environment.
Key Responsibilities:Design, develop, and deploy machine learning models and algorithms.Analyze and process large datasets to extract meaningful insights.Manage and maintain data pipelines to ensure data quality and availability.Utilize ETL tools for efficient data extraction, transformation, and loading.Collaborate with data scientists, data engineers, and other stakeholders to integrate machine learning solutions into products.Continuously improve and optimize existing models for better performance and scalability.Conduct experiments to evaluate model performance and iterate based on findings.Translate abstract data concepts into practical applications.Document model development processes, methodologies, and performance metrics.Implement and manage model deployment in production environments.Monitor and troubleshoot model performance in real-time production systems.Develop and maintain machine learning infrastructure, including cloud-based solutions.Collaborate with software engineers to embed machine learning models into applications.Participate in cross-functional team meetings to align on project goals and deliverables.Contribute to the development of reusable code libraries and frameworks.Ensure reproducibility of experiments and models.Evaluate and integrate third-party machine learning tools and libraries.Stay updated with the latest advancements in machine learning and artificial intelligence.
Requirements:Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field.Proven experience as a Machine Learning Engineer or similar role.Proficiency in programming languages such as Python, R, or Java.Strong understanding of data structures, algorithms, and statistical methods.Experience with data preprocessing, feature engineering, and model evaluation.Proficiency in managing data pipelines and using ETL tools (e.g., Alteryx, Talend, Informatica).Familiarity with cloud platforms (AWS, Google Cloud, Azure) and MLops tools.Excellent problem-solving skills and attention to detail.Strong communication and teamwork abilities.
Benefits:Medical, Dental and Vision insuranceSick LeavePaid HolidaysVolunteer Time Off401k with MatchESOPParental Leave100% Employer Paid Life Insurance & Long Term DisabilityEAP ProgramBonusGym Membership ReimbursementTicket Benefits
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We are looking for an experienced Machine Learning Engineer to join our dynamic team. The ideal candidate will have a strong background in machine learning, data engineering, and statistical analysis. You will be responsible for designing and implementing machine learning models, managing data pipelines, optimizing and improving existing models, and collaborating with cross-functional teams to integrate machine learning solutions into our products. You should be comfortable working in a fast-paced startup environment.
Key Responsibilities:Design, develop, and deploy machine learning models and algorithms.Analyze and process large datasets to extract meaningful insights.Manage and maintain data pipelines to ensure data quality and availability.Utilize ETL tools for efficient data extraction, transformation, and loading.Collaborate with data scientists, data engineers, and other stakeholders to integrate machine learning solutions into products.Continuously improve and optimize existing models for better performance and scalability.Conduct experiments to evaluate model performance and iterate based on findings.Translate abstract data concepts into practical applications.Document model development processes, methodologies, and performance metrics.Implement and manage model deployment in production environments.Monitor and troubleshoot model performance in real-time production systems.Develop and maintain machine learning infrastructure, including cloud-based solutions.Collaborate with software engineers to embed machine learning models into applications.Participate in cross-functional team meetings to align on project goals and deliverables.Contribute to the development of reusable code libraries and frameworks.Ensure reproducibility of experiments and models.Evaluate and integrate third-party machine learning tools and libraries.Stay updated with the latest advancements in machine learning and artificial intelligence.
Requirements:Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field.Proven experience as a Machine Learning Engineer or similar role.Proficiency in programming languages such as Python, R, or Java.Strong understanding of data structures, algorithms, and statistical methods.Experience with data preprocessing, feature engineering, and model evaluation.Proficiency in managing data pipelines and using ETL tools (e.g., Alteryx, Talend, Informatica).Familiarity with cloud platforms (AWS, Google Cloud, Azure) and MLops tools.Excellent problem-solving skills and attention to detail.Strong communication and teamwork abilities.
Benefits:Medical, Dental and Vision insuranceSick LeavePaid HolidaysVolunteer Time Off401k with MatchESOPParental Leave100% Employer Paid Life Insurance & Long Term DisabilityEAP ProgramBonusGym Membership ReimbursementTicket Benefits
#J-18808-Ljbffr