Top Hybrid Machine Learning Jobs in Seattle, WA

The Software Engineer will work on machine learning infrastructure to enhance Snap's core products, contributing to innovations in augmented reality and messaging technologies. Responsibilities include developing and optimizing machine learning systems, collaborating with diverse teams, and engaging in dynamic in-office collaboration.

As a Machine Learning Engineering Manager, you will lead a team in developing models and systems for user understanding and ranking improvements. Responsibilities include defining architecture, ensuring quality and scalability, and collaborating closely with infrastructure and ranking teams. You will conduct design reviews and maintain high technical standards in a fast-paced environment.

Snap Inc is looking for a Machine Learning Engineer with 3+ years of experience to create models, evaluate technical tradeoffs, perform code reviews, and build scalable products. Strong understanding of machine learning approaches and algorithms is required. Collaborative and mentorship skills are essential.

As an Applied AI Scientist at ZS, you'll develop algorithms for large dimensional problems, apply statistical and data mining techniques on large datasets, evaluate new data technologies, and contribute to thought leadership through research. You'll work in a collaborative environment focused on transforming global healthcare.

As a Machine Learning Engineer at ZS, you will build and monitor model pipelines, scale algorithms for massive data sets, and enhance ML platforms. Your responsibilities include implementing ML Ops, writing production-ready code, collaborating with teams, and researching new technologies.

As a Principal Engineer in ML/AI, you will lead technical efforts across teams, drive product development, set engineering standards, and provide mentorship while collaborating closely with various stakeholders to enhance and innovate financial services.