Top Machine Learning Jobs in Leon

Lead the Ads Measurement & Impact Science team at Netflix, focusing on building first-party measurement solutions and driving analytics initiatives to enhance ad performance and insights.

Lead and strategize the integration of computational biology and advanced analytics in drug development. Mentor teams, manage projects, and drive innovative solutions for patient stratification and biomarker validation.

The Analytics Engineer will build data pipelines, create dashboards, unify data models, and drive insights for decision making across Filmhub's business operations.

The Growth Manager role involves analyzing data to uncover insights, driving growth opportunities, and collaborating with various teams to enhance eCommerce products.

The Lead Data Scientist drives analytics initiatives, develops statistical models, mentors junior team members, and communicates insights to stakeholders.

Join Clarity AI's Talent Community by submitting an open application for various roles in product, technology, finance, marketing, or operations to drive positive impact.

The Lead, Advanced Analytics will drive data insights for the Global Planning Analytics team, standardizing data products and improving business decision-making through collaboration and advanced analytics, including machine learning.

The Senior Data Scientist will develop and deploy advanced machine learning models for forecasting in energy systems, focusing on battery storage and renewable energy. Collaboration with cross-functional teams is essential to apply research to practical solutions.

As an Engineering Manager, you'll lead efforts to enhance model performance, manage team projects, and support professional growth in a dynamic environment.

Lead machine learning and data science strategy at LendingClub, managing teams and driving innovation in predictive modeling and analytics across various domains.

The Revenue Operations Data Analytics Specialist will modernize sales reporting, analyze performance, and enhance decision-making through data insights and AI technologies.

Develop and productionize a next-gen Dispatch System, build predictive models, automate processes, and lead a small team in optimizing operations.

As a Machine Learning Scientist, you'll apply machine learning methods to NLP tasks, develop models, collaborate with teams, and drive initiatives.

The Research Data Scientist will build predictive models and algorithms, analyze large data sets, and collaborate with teams to optimize marketing analytics.

The Data Scientist will design and implement machine learning algorithms, analyze datasets, communicate findings, and meet mission requirements using technical expertise.

Research Data Scientist responsible for building predictive models and measurement algorithms, analyzing data for insights, and collaborating with engineering teams to optimize marketing analytics for TV advertising.

Lead the evaluation and optimization of large-scale datasets for AI training, ensuring data quality and collaborating with research teams.

The Quantitative Research Analyst will develop execution strategies, conduct market research, and analyze execution costs for Futures and FX trading.

Develop predictive models using machine learning and 3D data, prepare data using cloud resources, and iterate solutions in a team-oriented environment.

Seeking a Senior Data Scientist with expertise in AI, adept at leading projects and collaborating in a start-up environment, focusing on recommendations and innovations.

Lead AI solutions engineering, focusing on product design, data engineering, model development, agile project management, and team development to create innovative AI technologies.

The Senior Machine Learning Engineer will enhance a platform for data scientists, lead ML service development, and collaborate cross-functionally to deliver AI solutions.

Conduct R&D on attention-based models, improve model architectures, perform distributed training, and shape new benchmarks for foundational AI models.

The VP of Risk Data Science & AI at PayPal will modernize fraud risk decisioning using leading technologies, build strong teams, and influence key stakeholders.

The Manager of Data Quality will lead and mentor the Systems Acceleration & Data Quality team, overseeing data integrity and driving quality initiatives using AI and machine learning tools. Responsibilities include strategic partner collaboration, maintaining data quality trends, and managing vendor relations.