Top Machine Learning Jobs in Leon

Responsible for developing and deploying machine learning algorithms, analyzing data for insights, and improving model performance in a collaborative Data Science team.

This Machine Learning Engineering Internship allows students to work on real ML projects, mentored by full-time employees, combining learning experiences with practical applications.

The role involves improving a conversational AI by fine-tuning models, developing engaging features, and leading technical decisions across the stack.

Lead Travelers' Data Engineering team, developing analytic products, executing data strategies, mentoring staff, and driving automation for scalable data solutions.

The Senior HR Data Analyst transforms workforce data into actionable insights, leading advanced analytics and reporting to support HR strategy and decision-making.

The Fraud and Lead Quality Analyst analyzes and manages fraud detection and lead quality assurance programs, providing data-driven insights and improvements across various business units and platforms.

The role involves developing statistical analyses, providing analytics guidance for CAR-T products, and collaborating with global manufacturing teams to solve complex data issues.

As a Senior Data Scientist, you'll develop analytical solutions, focusing on performance marketing, player incentive systems, and driving strategic projects through data insights.

As an AI Engineer, you'll work closely with customers to understand their needs, train and deploy models, and build scalable AI systems.

Lead Data & Technology Solutions for major brands, driving innovation and strategic transformation in marketing through data, identity, and technology solutions.

As a Data Scientist at Voleon, you will analyze complex datasets, ensure data correctness, and communicate insights to executives, leveraging AI and machine learning for investment management.

As a Data Scientist, you will analyze and visualize complex data sets, ensuring data quality and deriving actionable insights for investment strategies.

This role involves developing deep learning models for time-series prediction, conducting research, mentoring, and collaborating with cross-functional teams.

Lead a team in the Demand Planning process to develop forecasts that inform financial planning and supply chain operations, collaborating with cross-functional teams and driving continuous improvement.

As a Graduate Quantitative Researcher, you will develop and implement trading algorithms using statistical models and big data technologies while collaborating with a team.

The Graduate Quantitative Researcher will develop algorithmic trading strategies, construct complex models, and leverage data to predict market movements.

Lead applied science initiatives, deploy machine learning systems, analyze data, and mentor junior scientists to drive technical roadmaps and impactful projects.

The AI Data Specialist role involves data collection, evaluation, and annotation for AI content, requiring advanced English proficiency.

The Senior Machine Learning Engineer will develop user targeting models, enhance paid feature engagement, and mentor ML Engineers while utilizing advanced ML techniques.

As a Lead Machine Learning Engineer, you'll design, build, and implement ML applications, collaborate with teams, maintain models, and leverage cloud technologies.

The Director of Data Science will build and manage machine learning models, collaborate cross-functionally, and lead the ML strategy at Hungryroot.

Lead and develop machine learning solutions for business impact, managing a high-performance team and collaborating cross-functionally.

The intern will support the development of AI-driven solutions for decarbonization, building models, and integrating sustainability data.

The Data Analyst will improve AI technologies by testing products, performing data analysis, and ensuring quality assurance of natural language datasets.

The Data Annotation Expert analyzes and annotates natural language datasets, tests AI products, and improves machine learning model accuracy. Requires collaboration and effective communication skills.