Job Information
Bloomberg L.P. Machine Learning Engineer in NEW YORK, New York
Job Description: Design, implement, and train machine learning models to solve specific problems using data. This includes selecting appropriate algorithms, tuning hyperparameters, and improving model performance. Collect, clean, and preprocess data. Perform Exploratory Data Analysis (EDA) to understand data characteristics and inform model design. Comparing different models based on performance metrics (e.g., accuracy, precision, recall). Integrating the trained model into production systems where it can make predictions or classifications. Continuously tracking the model's performance and accuracy over time. Retraining the model with new data, adjusting parameters, or updating algorithms to address model drift or performance degradation. Requirements: Position requires a Masters degree or the foreign equivalent in computer science, engineering, machine learning, mathematics, statistics, physics, quantitative finance, or related and 6 months of experience in the job offered or as a software engineer, data scientist, or related. Must have 6 months of experience in each of the following: Linux; C, C++, C#, Java, JavaScript, Python, or another high-level programming language; Messaging Middle-ware; Data structures, algorithms, and object-oriented design concepts; Machine learning; Git; and Distributed systems. To apply, please send resume to Bloomberg HR at recruit2@bloomberg.net. Indicate B30-2026. EOE.