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Senior ML/Computer Vision scientist building 4D Vision™ systems for industrial robots, using PyTorch and AWS to deploy real-time perception models on factory floors.
Build and mentor ML systems for AI-powered tax research, using deep learning and generative AI to enhance product features.
Research and develop efficient on-device AI inference systems, optimizing models and hardware-software co-design for Qualcomm’s low-power AI accelerators.
Build and deploy AI models for high-performance web apps and chatbots, integrating with Next.js/React and optimizing for speed and security.
Build AI/ML-powered features for ClickHouse Cloud, integrating inference APIs with responsive frontends and robust backend services in TypeScript.
Build and deploy RAG pipelines and large-scale AI systems for industrial use cases like predictive maintenance and smart factories using Python, PyTorch, and vector databases.
Build and improve AI-powered products by developing models, analyzing data, and collaborating with software teams in a remote environment.
Build and deploy ML/LLM systems to improve merchant discovery and shopping experiences on Pinterest, focusing on content enrichment, entity resolution, and evaluation frameworks.
Run and optimize a high-performance GPU cluster with NVIDIA H100/A100 GPUs, Ceph storage, and Kubernetes, automating operations and supporting ML teams.
Build and harden reusable AI/ML primitives for Amazon’s enterprise systems, from experimentation to production deployment, collaborating with product teams to integrate and scale AI capabilities.
Build and optimize AI agents for Google Cloud’s Applied AI suite, focusing on recommendation systems, skill discovery, and performance tools for conversational agents.
Build and optimize AI-driven speech technologies (TTS/STT) for an interactive gaming platform, leveraging machine learning to enhance AI character experiences.
Lead AI/ML projects to build safety and security mitigations for Google Workspace, including LLM-based auto-raters and prompt-injection classifiers, collaborating with DeepMind and Workspace teams.
Build, deploy, and maintain AI/ML models including LLMs and Agentic AI systems using cloud platforms like Azure and GCP to solve business and scientific problems.
Build and scale AI systems to surface high-quality merchants and shopping experiences for Pinterest users, collaborating across teams to improve discovery and business reach.
Lead the architecture and development of large-scale RAG and NLP systems for vertical AI platforms, using PyTorch, vector databases, and probabilistic modeling to deliver predictive intelligence for high-stakes industries.
Build AI-enhanced features and scalable APIs for a high-performance database, integrating AI capabilities with user-friendly interfaces.
Build a machine-learning framework in Java that enables scientists to rapidly iterate on robust models and deploy them on Kubernetes.
Builds backend systems for a machine-learning platform, designing APIs and scalable infrastructure to support ML model development, analysis, and visualization.
Forward-deployed ML engineer partners with clients to deploy Mistral’s AI models, fine-tuning and integrating them into production systems while bridging technical and business stakeholders.
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