Top Hybrid Machine Learning Engineer Jobs

The Machine Learning Engineer develops production ML algorithms and recommendation systems, collaborates with teams, and optimizes user experiences.

The role involves developing AI and ML solutions, collaborating with teams to enhance client experiences, and ensuring proper model lifecycle management.

The Principal Engineer, AI/ML Architecture will define the technical direction for Coupa's AI platform, focusing on model training, evaluation, safety standards, and mentoring a team of ML and data engineers.

Contribute to machine learning model design, training, and evaluation for fraud detection. Communicate findings, develop metrics, and support production ML workflows while ensuring compliance and model governance.

The AI/Machine Learning Summer Intern will design and build AI prototypes, applying ML techniques, collaborating with teams, and delivering a working tool and presentation by summer's end.

Lead the development of ML models for search and personalization at Realtor.com, driving innovation and mentoring talent in a collaborative environment.

The Senior Machine Learning Engineer will enhance AI capabilities for defense applications, collaborate on ML models, optimize data processing, and ensure security in high-stakes environments.

The Sr. Applied AI Engineer will design, build, and deploy production-grade ML and LLM systems. Responsibilities include collaborating with various teams, developing evaluation infrastructure, maintaining versioned LLM workflows, and ensuring data governance.

The role involves rapid prototyping and architecting production LLM pipelines for AI in marketing workflows. Responsibilities include developing proofs of concept, making AI architecture decisions, building production data agents, and understanding user workflows for seamless AI experiences.

Lead machine learning initiatives, oversee product development, improve execution pace, enhance team reliability, and foster team growth at Hightouch.

Assist in the development of AI-driven agents for data analysis, contribute to backend services, and support frontend web applications.