Top Hybrid Machine Learning Engineer Jobs

The role involves deploying machine learning to enhance Chewy's advertising solutions, developing models for product ranking and prediction, and collaborating with product leaders. Responsibilities include leading new models, publishing research, mentoring, and driving technical strategies.

Collaborate with customers to implement data solutions, refine ML models, and contribute to product strategy while ensuring successful adoption and outcomes.

This role involves leading AI initiatives in Notebooks, developing machine learning features, and coordinating with product teams to enhance user experience.

This role involves developing ML tools and frameworks, supporting data science environments, and leading projects from design to execution. Candidates need strong programming skills and a quantitative background.

Lead development of AI solutions for telecom networks using advanced ML techniques, including LLMs and time-series models. Collaborate with teams to prototype, deploy, and optimize models, while mentoring junior data scientists.

The analyst will leverage multi-INT data for curation and development of labeled data for Machine Learning, focusing on SAR imagery. Responsibilities include recommending curation strategies and addressing data gaps for diverse datasets.

The Machine Learning Engineer Intern will build and operate AI-driven application pipelines, working with Data Scientists and Engineers to support cloud-based ML solutions.

As a Senior Machine Learning Engineer, you will develop machine learning models, manage their lifecycle, build infrastructure, and collaborate with teams to enhance our capabilities in various ML areas.

As an Applied Machine Learning Engineer, you will develop AI and ML models to improve healthcare outcomes. Collaborate with teams to implement and optimize machine learning techniques and algorithms.

Manage financial markets risk portfolio by applying statistical and machine learning models to optimize forecasting and decision-making. Collaborate with cross-functional teams to provide actionable insights.