…To really understand how our customers work with data, we are deeply immersed in AI, modern backup, log analytics with Splunk and Elastic, data…

…Deep expertise in lifecycle management practices, ensuring seamless model transitions from experimental stages to live production environments. Distributed Pipeline & API Design: Strong architecture skills…

…As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and…

…applied environment - Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning - Experience in…

…Key job responsibilities • Design and implement novel deep learning architectures combining a multitude of modalities, including image, video, and geospatial data. • Solve computational problems…

…performance promises — from core performance assurance to traffic shaping and congestion management algorithms. You will work at the intersection of networking engineering, satellite systems…

…embedded software teams dive deep into the embedded system behavior and security, provisioning, secure boot considerations to develop software algorithms that interact with the…

…engineering and algorithmic problems while designing beautiful, simple user experiences. We are looking for a passionate, talented, and experienced Technical Program Manager to join…

…Distributed Systems, Data Structures & Algorithms, Virtualization, Automation/Scripting, Container & Cluster Management, Debugging Tools Infrastructure Building industry leading technology by proving workflows and infrastructure, alongside…

…Work collaboratively with cross-functional partners including machine learning engineers, product managers, operations and data scientists, identify opportunities for business impact, understand, refine, and…

…At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture…

…Strong project management skills, with experience leading cross-functional teams and managing client relationships. Excellent communication and presentation skills, with the ability to convey…

…Proficiency in Java programming and strong expertise in data structures and algorithms. Proficiency with concurrency and parallel programming concepts. Deep knowledge of databases, data…

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we…

…Shares lessons learned with workgroup and consultant community. Intellectual Property Management Acts as an ambassador in the consumption of intellectual property (IP) by leveraging…

…You will contribute to the efficient execution of advanced deep neural networks (DNNs), large language models (LLMs), and other modern AI architectures. You will…

…Key Responsibilities Design, build, test, deploy, and operate AI-native platform services that improve how Oracle Health engineers build, deliver, and manage software. Build…

…You will set the technical direction for the development and implementation of algorithms that enables better data mining, deep scene understanding, and causal modeling…

…We are a close-knit team of highly accomplished, deeply technical research scientists and machine learning engineers passionate about delivering innovative technologies that benefit…

…7+ years or more of hands-on experience with Java and/or Python Deep understanding of data structures and algorithms. Experience designing and developing…

…with AI/ML pipelines — streaming data to models, handling inference outputs, managing pipeline orchestration Are familiar with Python, particularly for interfacing with ML/AI…

…pipelines (SORT, DeepSORT, ByteTrack, or similar) Evaluating model performance: analyzing metrics, diagnosing failure modes, and iterating on data and model improvements Managing the data…

…Lead teams to build and implement next-generation recommendation systems with deep learning, LLMs, agents, and advanced recommendation techniques. Drive end-to-end execution…

…including stakeholder engagement, requirements definition, roadmap management, team co-ordination, design, implementation, sustainment and evolution Capacity learn and grow individually, while mentoring junior team…

…Lead and grow a multidisciplinary team spanning ML research, engineering, data science, and product management. Drive next-generation algorithms — including LLM-powered experiences, intent…