AI Jobs

Build predictive delivery time models and classification models for delivery exceptions using logistics and transportation data at Amazon. Requires expertise in machine learning, feature engineering, data visualization, and statistical analysis with a Bachelor's or Master's degree.

This role involves analyzing structured and unstructured data to build statistical models and algorithms while leading data science initiatives and translating business problems into actionable insights. The consultant will leverage expertise in machine learning, NLP, LLMs, cloud platforms (AWS, Azure, GCP), and data visualization tools to drive data-driven strategies.

This role focuses on designing and implementing A/B tests, developing data pipelines, and owning the experimentation roadmap while collaborating with product and engineering teams. Key skills include A/B testing, causal inference, Bayesian methods, Python, and statistical analysis with tools like Looker.

This role analyzes sales pipeline data to identify trends and opportunities while designing AI-powered automation workflows to streamline sales operations and revenue processes. Key skills include data analysis, dashboard building, process automation, and the ability to translate data insights into actionable business intelligence for sales leadership.

This role leads the development and negotiation of strategic partnerships for Databricks, building relationships with key decision makers while collaborating across product, engineering, sales, finance, and marketing teams. Key skills include business development, partnership management, commercial negotiation, strategic planning, and data-driven analysis.

This role involves capturing structured notes on product functionality, collaborating with developers and product managers, and documenting workflows to feed into AI systems for automated documentation generation. Key skills include business analytics, data engineering, ETL pipelines, and data preparation with strong focus on testing and identifying edge cases.

Leads data science and engineering teams to build a data-centric culture, design unified data models, and drive technical excellence across the organization. Requires expertise in data engineering, machine learning infrastructure, data governance, AWS, and compliance with strong leadership capabilities.

This role involves building and deploying data and AI applications while leading data engineering teams and coordinating customer engagements for big data projects. Key skills include data architecture, Apache Spark, Databricks, cloud platforms (AWS/Azure/GCP), and technical consulting.

This role leads and scales AI/ML professional services teams while coordinating delivery across functions, defining joint strategy with field engineering and sales leaders, and managing strategic AI transformation initiatives for enterprise customers. Key skills include cross-functional leadership, AI transformation, cloud platforms (AWS/Azure), executive stakeholder management, and enterprise delivery.

Leads frontier AI research projects at Georgetown's Center for Security and Emerging Technology, coordinating research teams and briefing policymakers on AI and national security policy. Requires expertise in artificial intelligence, machine learning, data analysis, and the ability to design research plans, manage teams, and produce rigorous publications.

This role involves analyzing data to identify cost-effective strategies, assess technology platforms for efficiency, and develop AI-driven insights across business operations. Key skills include data modeling, SQL, Python, machine learning, predictive analytics, and visualization tools like Power BI and Tableau.

This role involves driving mission-critical initiatives across Scale's business by providing strategic, analytical, and operational support to product, engineering, sales, and marketing teams. The ideal candidate is an experienced operator skilled in breaking down complex problems, building cross-functional relationships, and balancing strategic projects with day-to-day operations.

As an Enterprise Product Engineer at Cursor, you'll architect and deploy end-to-end projects to build enterprise-grade features that help large organizations adopt and scale with Cursor's AI-powered coding platform. You should have an entrepreneurial spirit, passion for blending excellent engineering with AI/design, and a track record of creating outsized business impact.

Own the post-sale journey for enterprise customers at Cursor, driving adoption, retention, and expansion of the AI coding tool across engineering organizations. Partner with developers, admins, and executives to lead end-to-end rollouts, monitor account health, and influence product priorities through customer insights.

Build measurement, evaluation, and feedback-loop infrastructure that makes Cursor's core agent reliably better over time, sitting at the intersection of product, data, and engineering. Design AI evaluation systems, develop analysis tooling for debugging agent behavior, and turn quality insights into improvements across model choice and product decisions.

This role focuses on advancing reasoning capabilities in large language models (LLMs) and agentic systems, with emphasis on identifying optimal data types and methodologies for improving LLM-based agents including browser and software engineering agents. The ideal candidate needs deep expertise in LLMs, planning algorithms, agentic reasoning, and creative problem-solving in data generation, model interaction, and evaluation.

This role spans US tax compliance and provision management, focusing on transforming traditional tax operations into a data-driven, AI-first operating model with automated workflows and intelligent tooling. The position requires expertise in tax technical knowledge, database systems, data validation, and AI-assisted process improvement.

Build and operate the infrastructure powering OpenAI's hardware development lifecycle, including regression systems, CI/CD pipelines, and cloud platforms that support hardware teams across design, verification, and emulation. Requires expertise in DevOps, HPC systems, infrastructure automation, and strong software engineering practices to translate hardware workflows into scalable, observable systems.

This role involves deploying and maintaining ElevenLabs' AI voice technology solutions directly with enterprise clients and partners. The engineer will be responsible for integration, optimization, and technical support of AI voice models in production environments.

This role involves working as a Forward Deployed Engineer at ElevenLabs, serving as a technical bridge between customers and the engineering team to solve complex problems and drive product adoption. Key skills include software engineering expertise, customer communication, problem-solving abilities, and experience with AI/voice technology integration.