Top Hybrid Machine Learning Jobs

Lead the research, development, implementation, and optimization of recommendation and personalization algorithms. Oversee the maintenance of ML algorithms in production, develop ETL pipelines, and collaborate with product teams to explore new ML opportunities.

Lead a team of Machine Learning Platform Engineers, driving MLOps practices and developing machine learning solutions, ensuring integration and automation.

As a Machine Learning Engineer II at Chewy, you will design and deploy machine learning models tailored to HR challenges, mentor junior team members, and lead projects analyzing unstructured data. You will collaborate with various teams to shape AI applications that enhance talent management and employee engagement.

The AI ML Senior Associate at JPMorgan is responsible for designing and developing machine learning models to enhance customer experiences in the card business. The role involves collaboration across departments, leveraging machine learning technologies, and communicating insights to management. Key tasks include implementing models and ensuring their fairness and explainability.

The Machine Learning Engineer will develop and optimize large-scale ML models and pipelines, focusing on real-time inference in high-performance settings. Responsibilities include building distributed training systems, collaborating with researchers and HPC specialists, and improving machine learning frameworks. This role directly influences trading strategies.

The Aerospace Corporation seeks a Machine Learning Engineer to work on scalable machine learning solutions for national security and commercial customers. Responsibilities include developing ML applications, conducting experiments, collaborating with teams, and engaging in continuous learning in AI and data science.

As a Principal Data Scientist, you will build and validate machine learning models, analyze customer behavior, and partner with teams to enhance customer experiences. You will utilize statistical modeling and data analysis to ensure accurate customer data and support various business domains.