Top Data & Analytics Jobs

Develop advanced generative models and reinforcement learning algorithms to optimize designs enhancing ecological processes bridging human and natural environments.

The Senior ML Engineer will develop ML algorithms, design models for real-time problems, conduct data analysis, and participate in SDLC, focusing on security and maintainability.

The Machine Learning Research Scientist will develop models for loan document analysis, collaborate with teams, implement solutions, and lead research initiatives in machine learning.

As a Machine Learning Engineer, you'll design, build, and deploy machine learning models to enhance user engagement at Penn Entertainment.

The role involves owning an LLM safety domain, generating synthetic data, training LLMs, conducting benchmarking, and developing techniques for safer models. Co-author research papers with the team.

Develop and optimize ML algorithms for fraud detection, risk modeling, and personalized experiences by leveraging large datasets and modern modeling techniques. Collaborate with engineering teams for deployment and monitoring.

The Staff Machine Learning Engineer will lead the technical strategy for generative recommenders, collaborating on developing personalized products, and providing expert guidance on ML model development in a cross-functional team.

Lead ML research and development, collaborating with engineers and clinicians to create enterprise-grade products and establish a research agenda while sharing insights through publications and presentations.

Manage and mentor a team of machine learning engineers, oversee ML project development, collaborate with product management, and drive product milestones.

As a Senior Machine Learning Engineer, you'll design, build, and deploy ML models, improve algorithms, mentor juniors, and ensure code quality.

Develop sophisticated trading models using machine learning and data analysis. Manage the research process from data ingestion to model evaluation. Collaborate and contribute to all stages of financial model development leveraging deep learning.

Conduct research and development to enhance NLP models aimed at improving market research methodologies using AI and Crowd Intelligence.

As an ML Engineer, you will build and productionize predictive models for ad inventory and campaign performance, contributing to the growth of Netflix's ad platform.

As a Machine Learning Engineer, you'll develop and deploy ML models for medical imaging, collaborate with teams, and optimize for production environments.

Lead and mentor the Generative AI team, developing and optimizing machine learning models and solutions for multimodal data processing and document understanding.

As a Machine Learning Infrastructure Engineer, you will build and maintain infrastructure for ML model training, optimize deployment, collaborate across teams, and improve internal tools for ML workflows.

As a Senior Applied Machine Learning Engineer, you will develop machine learning solutions, manage project lifecycles, and integrate data into production systems.

The Staff Machine Learning Engineer will design and scale data solutions, build ML pipelines, mentor teams, and improve ML infrastructure for global lending products.

Build and design machine learning infrastructure for data scientists, optimize resources, deploy models, and monitor MLOps within a satellite data context.

The MLOps Engineer is responsible for GCP setup for machine learning models, ensuring seamless deployment and optimal infrastructure, along with monitoring and compliance.

The Machine Learning Engineer will develop machine learning models, build data pipelines, and collaborate with teams to identify customer needs. Responsibilities include training and validating deep learning models and presenting performance results.

As an intern, you will research and implement algorithms in computer vision and machine learning, developing new features for Sony's digital imaging technology.

Design and develop machine learning models and systems, collaborate with cross-functional teams, and provide mentorship to junior members, focusing on creating impactful recommendation systems.

Design, build, and evaluate ML solutions for Spotify's personalization products, collaborating across teams to enhance user experience and model best practices.

As a Machine Learning Engineer, you will deploy models to production, manage data pipelines, and collaborate with partners, focusing on MLOps best practices.