Top AI & Machine Learning Jobs

Build, deploy, monitor, and maintain ML models for production flight systems. Create MLOps pipelines, optimize algorithms for low-latency edge inference, and collaborate with data scientists and flight software engineers to integrate AI into spacecraft and ground operations.

Serve as a healthcare data scientist/consultant performing statistical analysis, predictive modeling, BI/reporting, and data visualization using R/SAS/SPSS and BI tools. Work independently on client projects, maintain client relationships, and report to the Senior Consultant.

Teach up to 24 credit hours annually in Business Analytics & Applied AI across seated and online/hybrid formats. Develop curriculum and certificates, mentor and advise students, engage industry partners, support recruitment and program promotion, and contribute to the School of Business & Innovation through applied projects, pedagogy development, and service.

Lead research and product development of document understanding and multimodal AI. Design and evaluate VLMs, RAG and retrieval systems; build benchmarks and datasets; ship production-ready components (table extraction, structure parsing, semantic indexing, multimodal QA); and work with engineering, product, and customers to deploy models and agentic workflows at scale.

Lead product analytics to improve user growth, engagement, retention, and revenue. Design and analyze A/B and multivariate experiments, perform funnel/cohort analyses, maintain KPIs and dashboards, ensure event tracking, leverage ML and AI tools for advanced analyses, and translate insights into product recommendations across cross-functional teams.

Design, optimize, and iterate multi-turn conversational flows for text and voice agents. Craft persona-driven prompts and multilingual templates, test with recordings and simulations, analyze live interactions to reduce hallucinations and improve tone, and collaborate with PMs and engineers to integrate prompts, maintain a versioned prompt library, and ensure compliance and privacy.

Lead product for internal AI and ops automation platforms across credit card operations, fraud, banking, collections, and engineering productivity. Own vision, roadmap, and KPIs; use LLMs to automate workflows end-to-end; conduct user research with ops and cardholders; and drive cross-functional delivery to lower cost-to-serve while improving customer and ops experience.

The Senior ML Engineer will develop and deploy full-stack AI solutions, manage LLM integration, and collaborate closely with defense clients to enhance real-world applications in secure environments.

The Founding Staff AI Engineer will design and implement production-grade AI systems focused on document intelligence in the insurance sector, collaborating with co-founders to shape the architecture and roadmap for AI solutions.

As a Senior AI Engineer, you'll design and deploy AI systems, own AI pipelines, and integrate LLMs into workflows, significantly impacting product direction.