Top Hybrid Machine Learning Jobs

The Machine Learning Modeler will design and scale intelligent systems for data-driven decision-making, implementing ML pipelines, and collaborating with analytics teams for model production and insights.

The Staff Machine Learning Engineer will architect and optimize data infrastructure for multimodal AI models in oncology, focusing on data management and processing pipelines.

Lead development and deployment of AI solutions, translating complex challenges into machine learning problems, and mentoring junior members across methodologies.

The Principal AI/ML Engineer will develop machine learning models for campaign optimization in AdTech, collaborating across engineering and product teams to enhance advertising capabilities.

Design and implement predictive models using machine learning for underwriting and patient care. Analyze healthcare data to inform strategies and collaborate with cross-functional teams.

Design and develop scalable search ranking algorithms, collaborate with data scientists, implement ML models, and improve user matching experience.

Assist in developing and deploying AI and ML features, collaborate with engineering teams, and align AI initiatives with the product vision.

Lead the design and deployment of machine learning models to detect fraud, collaborating with teams to optimize performance and effectiveness while integrating solutions into existing systems.

Develop and enhance ML models for delivery estimation and dispatch. Collaborate with teams, optimize key metrics, and communicate insights effectively.

Design and deploy production-grade ML systems, integrate models into software pipelines, and develop features leveraging ML for optimization and prediction problems.