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Technical Project Manager (AI)
Engineering-embedded Technical Project Manager for 3E's AI delivery team: turns product intent into executable work, builds automated validation, flow-metrics infrastructure, and multi-agent AI workflows, and embeds governance into CI/CD. Hands-on role writing production Python/JavaScript and driving DevOps/MLOps practices across multiple teams.
Member of Technical Staff - Engineering
Broad full-stack engineering role at Patronus AI building simulation environments, agent-training infrastructure, internal developer platforms, and ML model serving for AI evaluation research. A hands-on generalist working across frontend, backend, infra, and LLM/agent tooling, on-site in San Francisco 5 days a week.
Senior Engineering Manager, MLOps
Senior Engineering Manager leading Quince's MLOps team to build and scale the infrastructure powering production machine learning for its e-commerce business — model training, deployment, serving, and monitoring — on cloud-native tooling like AWS, Kubernetes, Terraform, SageMaker, and Kubeflow, while mentoring engineers and managing compute costs.
Staff Engineer, Machine Learning Infrastructure
Build and scale the machine-learning infrastructure that powers Quince’s AI-driven retail platform, designing training pipelines, feature stores, and real-time inference systems on AWS and Kubernetes.
Senior Data Scientist ( Data Scientist III : Supply Chain Operations Research)
Build and deploy optimization models for supply-chain decisions like warehouse routing, shipping costs, and inventory placement using LP/MIP, heuristics, and AI-native workflows.
Senior Data Scientist ( Data Scientist III : Supply Chain Operations Research)
Build and deploy optimization models for warehouse routing, transportation, inventory, and network planning using Operations Research and AI-native methods.
Forward Deployed Engineer
Forward Deployed Engineer on an enterprise AI risk and security team: owns customer deployments end to end — technical discovery, Kubernetes/Helm, networking and observability setup — through production handoff, and feeds lessons back into the platform roadmap. On-site in New York or London; $165k–$215k base, no visa sponsorship.
Staff ML/AI Platform Engineer
Staff ML/AI Platform Engineer responsible for designing, building, and scaling the ML/AI platform infrastructure, including model deployment pipelines, frameworks, and tools to productionize AI/ML products at BetterHelp.
Senior AI Engineer - AI Tech Lead
Tech-lead role owning the AI roadmap at Mendo, an AI transformation platform for enterprises: train, fine-tune and operate proprietary small language models and RAG pipelines, set evaluation/MLOps standards across squads, and mentor engineers. Stack: Python, TypeScript, on-device GGUF models, Azure/AKS.
MLOps Engineer
Builds and runs the ML infrastructure behind Kiefer Tech's products (Sophea AI LLM, RAG platform, robotics, Hyperion X energy trading): training/fine-tuning pipelines, experiment tracking, model serving with rollout/rollback, GPU scheduling, and production monitoring. Core stack: Python, Linux, containers, CI/CD, GPUs.