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Leads the design and launch of a shared workflow engine for Epicor’s ERP platform, defining how AI agents execute multi-step tasks across systems while ensuring reversibility, auditability, and seamless integration for internal teams and customers.
Leads the design and evolution of Prism Core, an AI platform orchestrating third-party models and proprietary agents, focusing on model selection, guardrails, security, usage tracking, and monetization to ensure reliability, safety, and scalability for Epicor’s ERP and AI-driven products.
Build and maintain Quora’s ML platform and ranking infrastructure, serving 300M+ users by optimizing GPU model serving, distributed systems, and developer tooling in Python, Go, and C++.
Staff ML Engineer at Pinterest’s Applied Research team develops advanced AI models (LLMs, NLP, CV, GNNs) to enhance search, recommendations, and user engagement across Pinterest’s creative discovery platform.
We're building a massive, real-time search experience that sits at the intersection of Generative AI and Information Retrieval! We make sense of high-volume structured and multimodal data and complex behavioral…
Builds and maintains the ML infrastructure for NewsBreak’s ad and recommendation systems, optimizing training, serving, and monitoring pipelines to improve performance, reduce latency, and enhance developer experience.
Sown To Grow (STG) is a K12 education technology platform that empowers schools to improve student social, emotional, and academic health through an easy and engaging check-in and reflection process. In a short weekly…
About Us: Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and…
Build and deploy ML models to detect fraud and assess risk using signals from millions of transactions, partnering with product and engineering teams.
Build and deploy deep-learning computer-vision models on edge devices for smart machinery, optimizing inference for real-time, resource-constrained hardware.
Build and deploy deep learning models to predict ad performance for streaming TV campaigns, using Python and PyTorch to optimize advertiser outcomes in real time.
Designs, trains, and deploys deep learning models using PyTorch for high-performance AI solutions across diverse tasks.
Build and deploy AI/ML models and MLOps pipelines in Python to production, ensuring reliability, scalability, and measurable business impact.
Build and optimize cloud-based supply-chain software using Java/Python, real-time data pipelines, and AI tools to power global logistics decisions.
Lead the design and implementation of ML observability and traceability systems for an AI-powered workforce development platform, improving reliability and debugging for batch and real-time models including LLMs.
Your Responsibilities Module responsibility and teaching of Gisma Bachelor and Master programmes as well as examination, assessments, and student supervision. Active participation in programme development and quality…
Build real-time AI/ML systems for edge sensor processing (e.g., drone detection) using Python/C++, PyTorch, and Linux, integrating AI with hardware for defense/security applications.
Build and improve ML models for humanoid robot manipulation, deploying them on real robots in a fast-paced startup.
Principal Machine Learning Engineer at Upstart builds and scales AI-driven credit underwriting infrastructure, designing ML platforms that accelerate model development and deployment for a fintech lending marketplace.
Build ML-driven data-mining tools to find and rank the most valuable autonomous-driving moments from petabytes of fleet data, using retrieval, ranking, and vector search at scale.
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