29 total jobs
6 new jobs this week
Lead AI and automation strategy for Fleet Operations by identifying high-value opportunities, building robust autonomous agent systems, and shaping the platforms and architecture for scalable solutions.
Leads an AI-first team building and maintaining internal support tools, automations, and integrations, combining hands-on development with team mentorship and ownership of the support platform ecosystem.
Lead AI engineering strategy and execution, evolving internal software-building tools alongside production systems while ensuring AI-driven development delivers technical quality, operational excellence, and measurable business results.
Seeking a visionary AI leader to define and scale MaintainX's AI strategy, driving innovation in Agentic AI and Machine Learning solutions for industrial operations.
Lead the architecture, hands-on development, and production operation of Supabase’s autonomous agent platform, setting standards for safety, evaluation, observability, and adoption across teams.
As the Director of Machine Learning & AI at Thorn, you will lead a team to apply advanced technologies in addressing child safety challenges, shaping strategy and fostering talent.
As Senior Engineering Manager for Container Product Engineering, you will lead a team of engineers to design and ship features for Chainguard Containers, ensuring secure and efficient container solutions.
Lead the execution of Lyra's machine learning roadmap by scaling and mentoring a high-impact AI/ML engineering team to ensure production-grade systems operate with clinical precision.
The Head of Data Science will establish Paddle's data science capabilities, focusing on automated decision-making and machine learning to drive economic value from payment and subscription data.
Leads and develops a quality engineering team while staying hands-on with AI-powered test automation, regression strategy, release readiness, and quality metrics to improve software delivery confidence.
Lead the AI Platform at Engine, setting technical strategy and scaling the organization while ensuring a unified platform for all engineering teams.
Leads client-facing AI engineering strategy and delivery, turning business opportunities into secure, scalable production applications while guiding architecture, engineers, and reusable AI practices.
Leads the Test Infrastructure and Quality Engineering organization, setting quality strategy and scaling shared platforms, automation, and AI-assisted testing to improve regression prevention and release confidence.
Leads and develops a software engineering team delivering Libra’s platforms in an agentic model, combining people leadership with technical oversight and AI-native practices to improve software quality and delivery.
Lead hands-on development of enterprise GenAI and agentic AI solutions, defining evaluation strategies, improving model performance, and delivering secure, production-ready architectures with engineering teams.
Leads end-to-end delivery of production AI systems, from RAG and agentic solutions to evaluation and MLOps, while mentoring engineers and guiding clients on pragmatic technical choices.
Leads end-to-end delivery of production AI systems, designing RAG and agentic solutions, evaluation frameworks, and scalable MLOps while mentoring engineers and advising clients on pragmatic technical approaches.
Leads end-to-end delivery of production AI systems, designing RAG and agentic solutions, evaluation frameworks, and MLOps/LLMOps while mentoring engineers and advising clients on pragmatic AI approaches.
Leads end-to-end delivery of production AI systems, designing RAG and agentic solutions, evaluation frameworks, and scalable MLOps/LLMOps while mentoring engineers and advising clients on pragmatic technical choices.
Lead the architecture and production rollout of AIOS’s shared agent SDK, setting model strategy, evaluations, safety, and reliability while building a hands-on Applied AI team.
The VP of Research (Machine Learning) will define and lead the research direction for an AI platform, focusing on advanced machine learning techniques and practical production impact.
Lead the architecture and delivery of advanced AI and Generative AI solutions, advising clients on strategy and implementation while guiding technical teams, supporting business development, and advancing AI offerings.
The Head of Data & AI will build a world-class data and ML platform, leading a team to enhance delivery intelligence through advanced modeling and data governance.
Lead electrical design and engineering for data centre projects, ensuring optimal performance and energy efficiency while mentoring junior engineers and engaging with clients.
