Top Machine Learning Jobs in Leon

Lead digital marketing measurement and data science, analyze digital data, develop statistical models, and collaborate with marketing teams for optimization and insights.

As a Senior Staff Machine Learning Engineer, you will enhance Coupang's search and discovery systems using advanced algorithms, focusing on information retrieval and recommendation systems, requiring significant industry experience.

Lead a team of data scientists to enhance patient experiences through data insights, predictive modeling, and analytics for healthcare solutions.

This role involves training AI models in Energy and Power by providing feedback on outputs, problem-solving, and identifying biases in the AI's knowledge base.

As an AI Tutor, you will teach, evaluate, and red-team AI models in data science principles, focusing on statistical modeling, machine learning, and data ethics.

The Machine Learning Engineer will create models, evaluate technical tradeoffs, and ensure code quality, focusing on scalable products.

Machine Learning Engineer needed to enhance ML platform, build infrastructure, and utilize ML frameworks to solve problems in a financial context.

As a Senior Data Scientist, you'll build recommendation algorithms, analyze user behavior, design experiments, and collaborate cross-functionally to enhance music discovery on the platform.

This role focuses on sourcing, due diligence, and portfolio support in the AI investment ecosystem. It requires strong networking and analytical skills, combined with a proactive entrepreneurial spirit.

The Data Engineer will design and maintain ETL pipelines and data storage solutions, collaborating with cross-functional teams to ensure efficient data processing and delivery.

Design and develop innovative deep learning methods for biomolecular design, collaborating with biology teams, prototyping new algorithms, and presenting results.

As a Senior Data Scientist, you will apply machine learning and AI algorithms, conduct feature engineering, and collaborate with teams to optimize models and provide data insights.

As a Data Scientist, you'll leverage machine learning and AI to analyze data, build models, and develop intelligent services, collaborating with various stakeholders.

Lead a team of data scientists to enhance infrastructure through data science, focusing on capacity planning, performance optimization, and customer experience.

Lead a team of data scientists to optimize Databricks infrastructure using data science for capacity planning, reliability, and performance improvements.

Develop and implement derivatives pricing models and market data functionality for the Kannon platform, collaborating across teams in a fast-paced environment.

The Junior Data Analyst supports clients by improving access to clinical research information through data analysis, validation, and process automation while collaborating with stakeholders and developing analytics frameworks for strategic initiatives.

Seeking experienced Quantitative Analyst to develop models, analyze data, and support investment decisions in collaboration with portfolio managers.

The Associate Director leads data management and portfolio analytics initiatives, transforming data into insights for better business decisions and patient outcomes, while managing a team and driving innovation.

Lead AI & ML projects, engage with stakeholders, provide technical leadership, mentor junior scientists, develop end-to-end ML solutions, and showcase customer solutions.

As an AI Scientist at WorldQuant, you'll conduct machine learning research, produce trading signals, collaborate with portfolio managers, and develop predictive models.

TigerGraph seeks individuals to promote their scalable graph database technology used for analytics and machine learning across various industries.

The Staff Data Scientist/Machine Learning Engineer will develop ML systems to engage retailers, mentor senior data scientists, and optimize marketing strategies using data insights.

The Strategy & Analytics Lead will drive product decisions through data-driven insights, collaborating with cross-functional teams to enhance business growth.

Lead data partnerships by executing data acquisition strategies, negotiating agreements, and evaluating data quality in clinical and observational studies.