AI Jobs

Design and develop the production lifecycle of full-stack AI applications for international government partners, ensuring end-to-end system reliability, real-time inference observability, and sovereign data orchestration. Key skills include AI ops architecture, cloud infrastructure, system reliability engineering, software integration, and experience with high-security government deployments.

Lead a team of Software and Data Engineers to ensure financial data quality, consistency, and accuracy across OpenAI's billing systems and financial data flows. Drive strategy for bringing data capabilities in-house while partnering with Finance and GTM teams to establish monitoring, validation, and observability mechanisms.

This role involves building production software for sensing algorithms on consumer devices, translating algorithm prototypes into reliable end-to-end systems with strong attention to performance and real-world reliability. Key skills include proficiency in Python, systems engineering, software quality practices, and the ability to bridge algorithm development with shippable production systems.

This role involves partnering with strategic enterprise customers to guide them through ideation, development, and scaling of production applications using OpenAI's API platform. Key skills include technical expertise in API integration, customer relationship management, prototyping capabilities, and the ability to translate business requirements into scalable AI solutions.

Forward Deployed Engineers lead end-to-end deployments of frontier AI models in production with strategic customers, owning discovery through production rollout and measuring success via adoption and workflow impact. Required skills include full-stack system design, technical leadership, customer collaboration, and the ability to translate research breakthroughs into scalable production systems.

This role involves designing and implementing control systems for robotic actuators and motors, including calibration, firmware maintenance, and integration with higher-level AI platforms. Key skills include motor control, sensor fusion, system identification, and expertise with actuation systems, position/torque/velocity control loops, and hardware troubleshooting.

This role involves collaborating with developers to create and execute comprehensive test plans, including functional, regression, and user acceptance testing for embedded software systems. Key skills include automated testing, debugging, test case design, and proficiency with tools like Jira, Bugzilla, Git, and Agile methodologies.

This role involves configuring AI services, debugging systems using logs and metrics, and integrating AI components while maintaining existing codebases. Key skills include full-stack development, AI service integration, testing (unit and integration), and proficiency with AWS and AWS Bedrock.

Build POCs and prototypes with Generative AI technologies while collaborating with stakeholders to develop and deploy AI/ML applications on cloud platforms. Key skills include Python, machine learning, generative AI, AWS/Azure cloud services, SQL, and databases.

Forward Deployed Engineers lead complex end-to-end deployments of frontier AI models in production with strategic customers, owning discovery, technical scoping, system design, build, and production rollout. Required skills include full-stack system development, customer collaboration, technical leadership, and the ability to translate research breakthroughs into measurable production impact.

Build cloud-based AI and machine learning solutions while collaborating with developers and product managers to deliver quality software. Requires expertise in machine learning algorithms, Python, Java, design patterns, and proficiency in code profiling and optimization.

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.

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 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 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.

Design and implement key compute, memory, and interconnect components for OpenAI's custom AI accelerator, translating AI workloads into efficient hardware structures with significant ownership across definition, modeling, and implementation. Required skills include RTL design, microarchitecture, performance modeling, hardware/software co-design, and collaboration with verification and physical design teams.