Top AI & Machine Learning Jobs

Conduct AI and machine learning research for cybersecurity applications, including training LLMs, developing graph neural networks, creating predictive and synthetic-data models, and improving threat detection. Collaborate with senior data scientists, engineers, and product managers; analyze large datasets; automate and visualize AI development workflows; and use Python to preprocess data, generate insights, and train models. This is a six-month fixed-term position for students or recent graduates.

Lead design and delivery of large-scale AI/ML and retrieval systems for cybersecurity. Build end-to-end ML architecture, models (anomaly detection, ranking, RAG/LLM), and production infrastructure. Drive technical strategy, cross-functional initiatives, experimentation, and mentor junior scientists while balancing latency, scalability, reliability, and business impact.

Build and scale AI platform infrastructure for internal agents across AWS/GCP. Integrate identity (Okta, OAuth2/OIDC), implement agentic security, containerized deployments (Docker/Kubernetes), CI/CD and Terraform-based pipelines, run vendor evaluations, and design observability/telemetry for LLM-driven workflows while collaborating with security, identity, and engineering teams.

Lead hands-on delivery of agentic AI solutions across Salesforce, Slack, and enterprise workflows. Design LLM-powered agents, multi-agent systems, RAG pipelines, semantic search, AI evaluation frameworks, and secure integrations. Build Salesforce components and Agentforce actions, implement CI/CD and observability, establish governance and fallback strategies, modernize legacy integrations, mentor engineers, evaluate AI platforms, and automate manual GTM processes.

Develop and deploy AI agents that detect, diagnose, and remediate issues across distributed infrastructure. Build LLM-powered automation, integrate agents with monitoring and telemetry systems, support AI-assisted incident response, evaluate agent performance, analyze operational metrics, participate in incident reviews, and maintain technical documentation and runbooks. Collaborate with globally distributed engineers while advancing autonomous operations, SRE, and infrastructure automation capabilities.

The role involves deploying and supporting CrowdStrike's AI capabilities in cybersecurity, optimizing threat detection, and mentoring teams on AI solutions.

This role involves designing, building, and scaling a Data+ML platform, collaborating on machine learning pipelines, and incorporating cloud services for deployment and execution.

Lead the Data and ML Platform team, defining vision and strategy, overseeing platform development, fostering innovation, and managing a distributed team.

The role involves maintaining and optimizing ML infrastructure, diagnosing complex issues, performing system optimization, and collaborating with engineers to resolve workflow issues.

The role involves designing and facilitating a Data+ML platform, building scalable ML pipelines, and collaborating with engineers to enhance data and ML capabilities.