Top AI & Machine Learning Jobs

Embed with delivery teams to rapidly design, build, and demo LLM-powered agentic prototypes and internal tools. Translate ambiguous business problems into measurable prototypes, instrument evaluations and metrics, extract reusable components, and hand off clean artifacts to production engineering while maintaining subject-matter engagement and strong business judgment.

Seeking a Senior AI Engineer to develop AI solutions, oversee project delivery, and collaborate on system architecture. Requires 5+ years with Python and AI technologies.

The Staff ML Engineer will define and build ML capabilities, focusing on production systems, strategy, and infrastructure in a cybersecurity context.

The Data Scientist will apply machine learning and statistical analysis to support mission analysis, develop analytical tools, and visualize complex datasets for insights.

As an Applied AI Engineer at Rillet, you will create and implement AI systems for financial data, oversee features from design to production, and collaborate closely with product teams to innovate solutions in ERP workflows.

Entry-level Data Scientist to develop, train, and deploy statistical and machine learning models (regression, SVM, neural nets) on large datasets using R/Python/Spark. Tasks include data access and quality improvements, anomaly detection, model building, documentation, and collaborating with cross-functional teams to deliver analytic products, particularly for health insurance use cases.

Architect and build ML systems for generative AI: design training pipelines, evaluation and serving infrastructure, train and deploy diffusion and LLM models, ensure production reliability, data pipelines, and set technical direction and quality standards across the AI team.

As a Software Engineer, Applied AI, you'll design and improve systems for agents, conduct evaluations, and influence product decisions based on real usage data.

Design and implement advanced AI systems, lead development teams, mentor junior staff, and ensure ethical AI practices while aligning strategies with business goals.

As a Software Engineer (AI), you will design and implement AI systems, manage backend services, and collaborate closely with teams. You need extensive experience with LLMs and backend technologies.