…Familiarity with AI-assisted tools, machine learning technologies, Large Language Models (LLMs), GitHub Copilot, or related productivity technologies. Experience evaluating, adopting, or supporting new…

…Accelerate both engineering and non-technical workflows. Design, implement, deploy and maintain production machine learning models for the design and analysis of nuclear systems…

…machining, manufacturing engineering, automation, robotics, metrology, simulation, tooling, or software for manufacturing - Working knowledge of machining fundamentals, including tooling, workholding, GD&T, inspection, and…

…What Will Set You Apart - Experience with PLC programing, software engineering, electrical engineering, mechanical engineering, or robotics - Experience with hyperMILL, Heidenhain, Fanuc, NX, machining…

…NEO is our flagship - a home robot designed to move, learn, and operate in the real world alongside real people. We’re not demoing…

…A machine learning engineer role. You'll experiment with AI, but you won't build vector databases or train models. What You will Do…

…WHAT YOU’LL DO Technical & Shop Floor Execution - Collaborate with Applications Engineers in machine setup, material preparation, tool builds, and execution of development and…

…We are looking for an experienced Machine Learning (ML) Data Scientist to help us uncover insights about how Apple customers experience our technologies. This…

…This team includes both machine learning engineers and fullstack software engineers. You will build and manage a team of engineers focused on solving this…

…schematics Create valve, instrument, machinery, and equipment lists Troubleshoot machinery, equipment, instrumentation, and controls Develop CONOPs and HMIs for software and controls implementation Prepare…

…to optimize future products for Google’s machine learning fleet. You will leverage advanced software tools to conduct detailed thermal analysis, computational fluid dynamics…

…Ensure platform architecture supports secure access for analytics, machine learning, and AI workloads. Cross-Functional Collaboration Partner with application engineering, analytics engineering, data science…

…Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or…

…establish clear quality and process capability expectations before tooling and production release. Drive supplier-owned engineering changes and production change activities, ensuring technical impacts…

…You'll be partnering with product management, user experience, customer success, machine learning and other engineering teams to identify, define and build elegant solutions…

…As a Software Engineer, you will be working with the cutting edge AI agents developed by our exceptional team of Machine Learning and Neuroscience…

…benefits Learn more about benefits at Google . Create roadmaps for developer-facing Application Programming Interfaces (APIs), Software Development Kits (SDKs), and tools, ensuring they…

…As a Senior Staff Software Engineer on Core Infrastructure, you will own the architectural evolution of three deeply interconnected domains: service mesh and connectivity…

…tooling; strong fundamentals in writing well-structured, tested, operationally sound code Proven ability to drive cross-functional architectural change across large or complex engineering…

…Join the Platform Data Science team and help us research, prototype and ship machine learning features for MongoDB’s core server, query engine and…

…generative AI, deep learning, reinforcement learning, or specialization in another machine learning field. Preferred qualifications: Master’s degree or PhD in Engineering, Computer Science…

…To do so you will work cross-functionally, interacting with all areas of the business, from hardware and software engineers to roboticists, platform developers…

…training machine learning models. Experience with Agentic integrations and Model Context Protocol. Preferred qualifications: Master's degree or PhD in Electrical Engineering, Computer Science…

…Familiarity with more recent primitives like workers/agent sandboxes and developer-tooling products, or with machine-to-machine authentication, is a bonus. - Are biased…

…culture Knowledge of software development processes and ML and AI technologies Understanding of best practices for both traditional and machine learned systems Analytical and…