Top AI & Machine Learning Jobs

As a Data Scientist, you will define metric goals, create dashboards for stakeholders, manage data pipelines, and optimize data solutions.

Lead the design and deployment of AI agents, collaborating with teams to ensure AI safety and mentor technical staff.

Develop scalable ML platform infrastructure, support ML training and deployment, collaborate on software tools for scientists, and enhance workflows and automation.

Lead a team of AI engineers, manage technical delivery, and oversee production AI systems while fostering team growth and collaboration across the organization.

Lead the development of healthcare data products using machine learning. Design models, collaborate with teams, and mentor others in statistical methods.

Lead the AI research agenda at Kepler, focusing on trustworthy AI for enterprise decisions. Oversee research on agentic systems and evaluation frameworks, and manage a research team. Ensure production deployment of innovative AI solutions based on real financial data.

The AI Engineer will design and operationalize AI systems, work with data pipelines, establish standards, and improve product metrics through machine learning and analytics.

As a Senior Machine Learning Engineer, you'll design and develop workflows utilizing vision-language models, manage data pipelines, and collaborate with multiple teams to enhance model accuracy and efficiency.

The role involves integrating AI models into existing products, collaborating with the data science team, and enhancing user experiences. Responsibilities include model evaluation, framework design, and monitoring AI performance.

As a Staff Software Engineer, you will lead the development of computer vision systems for sidewalk inspection, overseeing model lifecycle, system architecture, and mentoring while improving deployment practices.