Top Hybrid Machine Learning Engineer Jobs

The Applied AI Software Engineer will evaluate LLM-based agents, manage benchmarking, and ensure performance, safety, and reliability in healthcare settings. Responsibilities include designing evaluation plans, running experiments, collaborating with teams, and developing internal tooling for AI features.

Lead training, evaluation, and deployment of ML models for scene understanding and behavior prediction in autonomous vehicles.

As a Software Dev AI/ML Co-op, you will improve development in Cloud Computing and AI/ML, working on data analytics and coding in Python and C++. You'll contribute to model implementations and exploratory data analysis.

Design and scale data infrastructure for autonomous drones, develop predictive models, build analytics tools, and promote data-driven culture.

As an AI/ML Engineer, you will develop and optimize AI solutions for renewable energy assets, collaborating with a skilled team to deploy algorithms in real-world projects.

As an AI/ML Engineer, you will design and deploy models for real-world applications, optimize data pipelines, and engage with global leaders to enhance AI technology's impact across sectors like healthcare and government.

The role involves designing and deploying AI systems for a SaaS platform, focused on operational automation using machine learning models and APIs.

As an AI Developer, you'll enhance engineering productivity by developing LLM-powered tools for code refactoring, test generation, and CI/CD processes, while ensuring production-grade performance.

Looking for a Machine Learning Engineer to build and maintain ML infrastructure for Insurance AI, collaborating across teams to enhance existing systems.

Design and implement CTR/CVR prediction models for ad ranking systems, ensuring high performance and accuracy while leading engineering projects and collaborating across teams.