AI Jobs

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 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.

This role involves managing enterprise-level sales for ElevenLabs' AI voice technology across North America, building relationships with large clients and driving revenue growth. The ideal candidate will have proven B2B enterprise sales experience, strong negotiation skills, and the ability to navigate complex deal cycles with Fortune 500 companies.

This role involves designing and implementing security measures to protect ElevenLabs' applications and infrastructure from vulnerabilities and threats. Key skills include secure code review, threat modeling, vulnerability assessment, and knowledge of OWASP principles, secure development lifecycle, and cloud security practices.

This role focuses on building machine learning solutions at scale by integrating Hugging Face's open-source libraries (Transformers, Diffusers) with major cloud platforms and managed SaaS solutions. Key responsibilities include bridging ML frameworks with cloud providers, ensuring model performance optimization, and designing secure, user-friendly developer experiences and APIs.

As Hugging Face's first Data/Infrastructure Advocate Engineer, you'll bridge technical data infrastructure expertise with community advocacy, championing Xet storage and efficient dataset workflows on the Hub. You'll combine deep technical knowledge of storage systems, Parquet, and deduplication with community engagement, creating demos and tools while collaborating with internal teams to shape how developers interact with data.

As a Cloud ML DevRel Engineer at Hugging Face, you will educate the ML community on accelerating training and inference workloads through strategic cloud and AI accelerator partnerships (AWS, GCP, Azure, NVIDIA, etc.). The role combines technical engineering with community education, involving blog posts, documentation, demos, webinars, and GTM collaboration with strategic partners.

As an open-source Machine Learning Engineer at Hugging Face, you will improve the open-source ML ecosystem by working with libraries like Transformers, Datasets, and Accelerate while engaging with a community of 11M+ users. You'll need strong expertise in machine learning, open-source development, and community engagement to foster one of the most active ML communities.

Full stack software engineer building and evolving the Codex desktop application and IDE extension, owning end-to-end flows from UI through Node/TypeScript backends to Rust service integrations. Key skills include TypeScript/Node/Electron development, IPC architecture design, process orchestration, and experience building resilient, observable systems.

This role focuses on building and deploying AI systems that enable code generation and autonomous collaboration for engineers, working on high-leverage 0→1 and 1→n initiatives across the Codex ecosystem. You'll need strong technical generalist skills, product thinking, the ability to prototype rapidly, and experience translating ambiguous problems into concrete technical solutions.

This role involves partnering with large Financial Services customers to ensure they achieve business value from OpenAI's models, serving as a technical bridge between pre-sales and implementation. Key responsibilities include delivering technical expertise, building demonstrations, scoping use cases, and recommending architectural patterns while working closely with sales, security, and product teams.

This role develops SLAM and multi-view geometry systems enabling robots to perceive, track, and reconstruct the 3D world from multi-camera and multimodal sensor data for real-time teleoperation and offline processing. The ideal candidate combines strong computer vision fundamentals with practical experience building robust perception systems, comfortable with both classical geometry approaches and modern machine learning methods.

This role involves shaping ChatGPT for Work product strategy through data analysis, uncovering user problems, forming hypotheses about business outcomes, and driving product decisions through rigorous evidence and experimentation. Key skills include KPI framework development, funnel analysis, experimentation design, metrics definition, and cross-functional collaboration with product, engineering, research, and finance teams.

This Research Engineer role involves building AI systems that enable scientific discovery by designing, implementing, and improving large-scale machine learning systems at the intersection of engineering and research. Key skills required include strong programming fundamentals, expertise in distributed systems, high-performance ML code writing, and the ability to work at massive computational scale.

This role involves building the best tool for professional programmers through a combination of inventive research, design, and engineering to automate coding. The ideal candidate is truth-seeking, passionate, creative, and skilled in shipping code while engaging in spirited technical debate.