Top Artificial Intelligence Machine Learning Engineer Jobs

Lead the development of machine learning models for maritime autonomy, focusing on Radar and EO/IR object detection and semantic segmentation. Collaborate on multi-target tracking and SLAM, and optimize models for edge deployment.

The Machine Learning Engineer will develop and maintain ML deployment pipelines, operationalize AI models, and ensure system reliability and scalability.

Lead and grow an algorithm science team to develop and productize sensor-based health sensing algorithms. Set strategy, manage cross-functional delivery with hardware/firmware/product partners, maintain technical depth, and build scalable evaluation pipelines and processes.

The Data & CVML Manager leads the development of autonomy for vehicles, focusing on data and ML processes from collection to deployment, while managing a team and ensuring technical performance aligned with safety requirements.

The role involves solving customer problems by building ML solutions, engaging with various stakeholders, and taking ownership of the outcome through deployment.

As a Machine Learning Engineer, you will design and deploy ML models, integrating LLMs with cultural intelligence and developing recommendation systems, while collaborating with data engineers and optimizing model performance.

The Staff AI/ML Engineer will design, build, and improve AI systems for document retrieval and data extraction, work with clients, and mentor team members to establish best practices.

Develop and optimize lightweight machine learning models for edge AI applications, integrating into production systems and mentoring junior engineers.

Drive advanced modeling and analytics for fraud detection and identity theft. Lead technical initiatives and manage full model lifecycle.

As a Machine Learning Engineer, you will design core platforms for autonomous agents, engineer data systems, build tools, and enhance product experience while collaborating with data scientists to deploy advanced models.