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Lead zero-to-one AI product development for a private equity firm’s portfolio, embedding with operators to identify high-impact problems, prototype solutions, and scale them across companies.
Leads the design and development of Google Cloud’s CLI and multi-language SDKs, ensuring seamless integration of 150+ GCP APIs for developers, with a focus on AI-driven tooling and cross-team collaboration.
Develops and evaluates AI-powered visual editing tools (GemPix/Gemini) for Google Workspace, focusing on model quality, metrics, and automated evaluation systems for image generation/editing features.
This co-op researcher role at Huawei's Noah's Ark lab involves developing state-of-the-art speech and audio AI technologies through literature review, algorithm implementation, and data analysis. The position requires strong software development skills in C++ and Python, along with experience in deep learning frameworks like PyTorch or TensorFlow.
Builds and maintains Google’s foundational systems and infrastructure that power its products, using languages like Java, C++, or Python and SQL for large-scale data processing.
Define the multi-year technical strategy for Google Cloud’s pre-production environments and automated testing ecosystems, ensuring scalable, hermetic testing and high-stakes release governance.
Builds and scales Google’s web crawling and data acquisition infrastructure, powering Search, AI models, and Cloud with tens of billions of daily content fetches.
Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and…
Solutions Architect at Cohere in Dubai who designs enterprise AI deployments, advises customers on generative LLMs, and drives adoption of Cohere’s AI models in the UAE and MENA region.
The Data Scientist leverages machine learning and statistical modeling to analyze structured and unstructured data, supporting business decision-making. The role involves developing predictive models within Snowflake pipelines and communicating insights to stakeholders across the organization.
Design and build AI/ML models for legal products, focusing on NLP, LLM, and generative AI workflows like RAG and agentic reasoning.
Role: AI/ML Engineer Experience: 10 Years Duration: 12 months Location: MC Lean , VA Skills: Python, Machine Learning, Deep Learning, Scikit-learn, TensorFlow, PyTorch, Pandas, NumPy, SQL, NLP, Computer Vision,…
Develops iOS apps for Google’s products, focusing on Swift/SwiftUI to build scalable, user-facing features while collaborating with global teams on design, deployment, and AI-driven workflows.
Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major…
Develops full-stack payment technologies for Google Pay, focusing on scalable, secure, and seamless transaction systems. Works on backend services, frontend interfaces, and system design for consumer and business payments, with opportunities to collaborate across Google’s tech teams.
Develops and maintains Google Cloud Storage, a planet-scale distributed storage system handling exabytes of data and trillions of objects, optimizing storage efficiency for Google’s services and enterprise customers.
Leads AI systems and intelligence teams at Google, managing engineers across global sites to build foundational AI/ML infrastructure, data insights, and developer tools for Google’s agentic ecosystem and core products.
Leads iOS development for Google’s mobile products, designing scalable Swift/SwiftUI apps and APIs while mentoring teams and integrating AI tools to accelerate workflows.
Develops high-performance C++ software for real-time 3D perception and calibration, architecting multi-camera pipelines and collaborating with hardware/ML teams to advance Google Beam’s immersive communication tech.
Develops sovereign AI models from scratch for national cyber-defense, focusing on computer vision, NLP, RL, graph learning, and neurosymbolic AI to secure critical government data and infrastructure. Daily tasks include training models, benchmarking, dataset curation, and cross-disciplinary collaboration with engineers.
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