AI, ML & Data Research Jobs

The Application & Data Developer will split time between SQL-based data engineering for the enterprise data warehouse and rapid creation of business-specific automation tools using Vibe coding and AI-assisted development. The role focuses on building ETL and data ingestion processes, Python automation, and delivering fast, fit-for-purpose solutions in collaboration with business analysts and data teams.

Principal AI Engineer for Microsoft Security NEXT leading the strategy, roadmap, and delivery of AI-native security experiences. The role prototypes and ships zero-to-one R&D, then drives platformization and scale across Microsoft security products while providing hands-on technical leadership across models, data, and architecture.

internXL is hiring an AI Trainer for a 6-week accelerator to teach, mentor, and provide hands-on technical support as teams build AI prototypes, culminating in an in-person hackathon in Atlanta. This is a temporary, contract role paid via a fixed-fee stipend and requires both virtual instruction and in-person mentorship during the hackathon.

Wells Fargo Markets is hiring a Vice President-level GenAI Agentic Engineer to design, build, and deploy production-grade agentic systems that automate complex front-office Sales & Trading workflows. The role partners with product, data science, and business teams to deliver secure, scalable agents with strong emphasis on compliance, reliability, and business impact.

Senior engineer (Vice President) building and deploying production GenAI agentic systems for Sales & Trading in Markets. The role designs agent orchestration, integrations, prompt engineering, state management, and evaluation while partnering with product, data science, and business stakeholders to deliver secure, compliant automation.

The Senior Associate, Financial Solutions develops and validates financial planning methodologies and translates them into functional digital tools for representatives and customers. The role conducts quantitative research, builds prototypes with technology partners, and applies data-driven modeling to improve customer financial outcomes.

The Senior Data Engineer will design and build scalable data pipelines and models to support analytics, machine learning, and real-time data exchange with enterprise partners. You will own critical components of the data platform, drive CI/CD and monitoring practices, and mentor junior engineers to bridge execution and architecture.

KLA is building a talent community for Deep Learning Algorithm Engineers to develop and deploy foundation models and GenAI solutions for image processing and computer vision in semiconductor process control. The role focuses on end-to-end deep learning work: research, prototyping, training, evaluation, optimization, and presenting results in technical settings.

As an Applied AI Customer Engineer III at Google Cloud, you will design and lead enterprise Conversational AI solutions, build PoCs/MVPs, and integrate AI systems with customer data and third-party stacks. You will partner with Sales and product teams to present technical recommendations to both technical and executive stakeholders and drive adoption of Google Cloud Generative AI offerings.

Build and improve the AI agent (Animus) that transforms GTM data into actionable answers and workflows for sales, success, product, and marketing. Design, implement, and iterate on LLM-based workflows and data pipelines on an AWS + TypeScript foundation while partnering with GTM and infra teams to ensure accuracy, observability, and cost-efficiency.

Senior principal role to architect and deliver partner-based AI/GenAI/Agentic solutions for public sector and enterprise customers, driving co-developed offerings with cloud and AI partners and leading technical engagements, solution development, and go-to-market activities.

Lead design and implementation of enterprise ETL and data architectures using Hadoop and cloud platforms to support a member platform. Drive technical direction, requirements gathering, design reviews, and cross-team coordination while implementing modern DevOps, testing, and monitoring practices.

Wells Fargo Markets is hiring a Vice President-level GenAI Agentic Engineer to design, build, and deploy production-grade agentic solutions that automate complex front-office Sales & Trading workflows. The role partners with product, data science, and business teams to deliver secure, scalable agent systems, emphasizing LLM integration, prompt engineering, state management, and regulatory compliance.

HPE is hiring an AI and Machine Learning Engineer to design, develop, and deploy ML models and algorithms for Hybrid Cloud products. The role focuses on data preparation, model training and evaluation, and collaborating with cross-functional teams to deliver scalable AI/ML solutions in a hybrid work model (≈2 days/week onsite).

Senior Machine Learning Engineer to research, develop, and deploy scalable ML systems for Splunk Observability Cloud, focusing on streaming anomaly detection, predictive intelligence, automated root-cause analysis, and integrating generative/agentic AI features. The role drives production-grade, cloud-native ML infrastructure and frameworks for model trustworthiness and resilience across hybrid and multi-cloud environments.

Senior AI Engineer responsible for designing, prototyping, and building production-ready AI and ML systems that power agentic commerce intelligence for a multichannel eCommerce platform. You will develop internal dashboards, operator tooling, data pipelines, and LLM/agent integrations while balancing rapid iteration with maintainability and scalable architecture.

As a Staff Software Engineer, AI at BlackLine you will develop and refine the company's fin‑tech AI platform by integrating production-grade LLMs, designing scalable AI system architecture, and collaborating with engineering and product teams to deliver AI solutions from prototype to production.

Design and build scalable, low-latency AI inference microservices for high-volume video processing and deploy production pipelines for Video Understanding and LLMs. Focus on throughput, cost-efficiency, performance optimization, and turning R&D into production-ready features while maintaining high engineering standards for AI-assisted code.

Join Alarm.com as a Data Scientist II on the Business Intelligence team to perform complex analyses, build customer models and neural networks, and create AI-powered tools that leverage LLMs. The role emphasizes independent research, problem solving, rapid learning of new tools, and cross-functional collaboration to drive business decisions.

Lead a team that builds large-scale simulated network environments and capture-the-flag (CTF) challenges to train and evaluate AI red-team and blue-team agents, advancing generative-AI-driven defensive capabilities. Drive design, implementation, and collaboration across research and engineering to improve agentic wargames and self-driven learning for security outcomes.