Top AI & Machine Learning Jobs

Lead the design, implementation, and enhancement of LLM-powered AI solutions, collaborating with teams to drive innovation and business outcomes.

Seeking a Machine Learning Engineer to build models from idea to delivery, maintain production models, and develop system architecture while collaborating on data-driven strategies.

Own end-to-end data science and analytics: build production Python systems, develop and deploy predictive models, write SQL and dashboards, turn messy data into actionable decisions, and work directly with stakeholders to iterate and ship reliable production features.

Seeking an AI Research Engineer to design AI training protocols, build scalable systems, and collaborate on novel AI infrastructure solutions.

Lead end-to-end applied ML work: identify high-value opportunities, prototype and productionize models or heuristics, integrate with backend systems, define success metrics, and iterate based on real-world usage while partnering with product, engineering, and design.

Join Music.AI's talent community to contribute to AI and music innovation with the opportunity for impactful work in a remote-first environment.

As a Senior Software Engineer, you'll build AI features focused on LLMs and RAG systems, collaborating across teams to ensure robust performance.

The intern will develop quantum algorithms, optimize subroutines, compile algorithms, apply architecture-aware optimizations, and estimate quantum resources.

Lead a team to design, build, and operate scalable, secure platform and MLOps capabilities on GCP and hybrid cloud. Drive DevSecOps, CI/CD, telemetry, and platform modernization to accelerate AI/ML and software delivery while managing delivery, budgets, vendors, and stakeholder alignment.

Senior individual-contributor product manager owning agentic and platform capabilities: define API/MCP/headless surfaces, non-functional requirements (scale, performance, reliability, security), and agentic workflows. Set product strategy and roadmap, write specs for engineering, partner with AI/ML, Data Science, Professional Services, and customer teams, and ensure auditability and regulatory readiness for enterprise financial customers.