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Cresta unlocks the true potential of the customer experience, turning every conversation into a competitive advantage. Cresta’s unified AI platform combines conversational AI agents, real-time human agent augmentation,…
Builds and maintains web apps that power Cresta's AI Receptionist, using React, TypeScript, and real-time APIs to deliver enterprise-grade conversational AI interfaces.
Builds and ships production-grade AI features for a retail merchandising platform using LLMs, RAG, and agentic AI systems in Python.
Design and build the enterprise AI platform’s core architecture, reusable patterns, and agentic AI systems for New York Life’s insurance and financial services.
Build New York Life’s enterprise AI platform and agentic solutions, spanning cloud-native infrastructure, multi-agent orchestration, retrieval systems, and governance—using Python, GCP, and AI-assisted tools.
Senior ML engineer validates high-stakes financial models (credit, fraud, AML) and AI systems to prevent losses and regulatory violations, using Python, ML frameworks, and cloud tooling.
OPPO US Research Center is seeking a talented and experienced backend engineer to join our growing team. In this pivotal role, you will be responsible for designing, developing, and maintaining scalable and…
Design and build production-grade AI systems for healthcare, using Google Cloud, LLMs, and agentic workflows to automate clinical and operational processes while ensuring security and compliance.
Build, deploy, and maintain AI/ML models on GCP for a defense program, focusing on LLMs, RAG, and Agentic AI while ensuring secure, scalable production systems.
Build and maintain scalable data pipelines and MLOps tooling to deploy, monitor, and version machine-learning models in AWS and GCP.
Build and deploy production-grade ML systems for personalization, search, and generative AI at Autodesk, using Python and frameworks like PyTorch or TensorFlow.
Lead a team to perform Static Timing Analysis (STA) on Google’s custom silicon SoCs, ensuring timing closure and low power for AI accelerators while collaborating with architecture and physical design teams.
Lead the automation and infrastructure for testing Google’s custom silicon chips, from pre-silicon validation to high-volume manufacturing, ensuring performance, yield, and quality for AI and cloud hardware.
Designs and builds scalable network topologies for Google’s AI and infrastructure, integrating software control planes with physical networks and routing protocols like BGP.
Lead end-to-end applied AI research and ML lifecycle for language models, fine-tuning, distillation, and production deployment to drive new product features and business impact.
Lead a team designing custom silicon and SoCs for Google’s AI and cloud infrastructure, overseeing RTL coding, simulations, and physical design to deliver high-performance hardware.
Google isn't just a software company. The Hardware Operations team is responsible for monitoring the state-of-the-art physical infrastructure behind Google's powerful search technology. As a Hardware Operations…
Designs and verifies custom silicon for Google’s TPU AI accelerators, focusing on microarchitecture, RTL coding, and integration with AI/ML systems.
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