Jobs
Indexed directly from employers. Every age is their own publish date.
Indexed directly from employers. Every age is their own publish date.
Indexed directly from employers. Every age is their own publish date.
Searching titles and descriptions for “Machine Learning Engineer, Agentic Application”. A match may be a passing mention rather than the job itself. Titles only.
447 roles across 504 listings · show every listing · page 1 of 18
…Collaborate closely with ML engineers, application engineers, product teams, and customer support teams to drive the development of new features and scalability initiatives. Qualifications…
…Our product excels in using cutting-edge Machine Learning technologies, particularly Generative AI, for business automation and critical tasks. As a conversation product engineer…
…engineering teams to define and govern Moveworks’ critical product metrics, ensuring consistency, accuracy, and alignment across the company. Apply rigorous statistical and machine learning…
…Human Interface Devices (HID) is looking for a Machine Learning Engineer with experience developing realtime, resource constrained models for computer vision applications. We’re…
…Collaborate closely with ML engineers, application engineers, product teams, and customer support teams to drive the development of new features and scalability initiatives. Qualifications…
…Collaborate closely with ML engineers, application engineers, product teams, and customer support teams to drive the development of new features and scalability initiatives. Qualifications…
…or semi-autonomous agents, including planning, task decomposition, and multi-step reasoning. Familiarity with privacy-preserving or on-device machine learning. Ability to work…
…Master’s degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, or related technical field, OR equivalent industry experience. Experience building multi-agent…
…Design and improve agent architectures, planning and execution strategies, tool-use frameworks, memory systems, retrieval techniques, and grounding mechanisms for security applications. Define evaluation…
…Job Description The Role We are looking for a Machine Learning Engineer to help build cutting edge ML infrastructure for building and serving LLM…
…You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross…
…ABOUT THE OBSERVABILITY PLATFORM TEAM The Observability Platform team exists to make production legible to every engineer and AI agent at Wealthsimple, on their…
…You will help implement, optimize, and validate machine learning and linear algebra operations for the Cerebras Wafer-Scale Engine, our custom massively parallel processor…
…Experience with security operating systems, distributed systems, Kernel, operating systems, network virtualization, and virtual machines. Preferred qualifications: Master’s degree or PhD in Engineering…
…transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. Cerebras works with the leading model…
…intersection of machine learning frameworks, compiler technologies, distributed systems, hardware architecture, and model optimization. We collaborate closely with hardware architects, runtime engineers, cloud platform…
…strategy, organizational structure, and engineering roadmap across a portfolio of systems that combine distributed software, manufacturing data, machine learning, agentic AI, and physical automation…
…spanning data engineering, data warehousing, machine learning, GenAI— including validating integrations with cloud services, in-house tools, and third-party applications. Work directly with…
…You'll collaborate closely with Applied Scientists developing AI-powered classification agents, privacy engineers, and policy experts navigating a rapidly evolving regulatory landscape. This…
…You will be responsible for defining key product directions, adopting or inventing new machine learning techniques, reimagining user workflows and experiences, and fundamentally changing…
…Key job responsibilities - Use machine learning, deep learning, LLMs and Agentic AI techniques to create scalable solutions for business problems - Analyze and extract relevant…
…ML engineering, AI platforms, model infrastructure, cloud platforms, solution architecture, or startup technical engagement. Strong understanding of generative AI, deep learning, machine learning, model…
…of solutions and integration of services. –Collaborates with software engineers and machine learning engineers to deploy computer vision, biometric, and video analysis solutions into…
…Strong knowledge of machine learning algorithms, prompt engineering, vector databases, and RAG pipelines. Familiar with MLOps, model governance, and CI/CD for ML workflows…
…Build AI applications and agentic workflows that automate how we run the partner business. Partner AI platforms: Build real internal tools on partner products…