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Lead Data Scientist
Lead a team to design, build, and deploy ML models for customer churn, segmentation, and recommendations in a growing ecommerce company.
Member of Technical Staff, Enterprise Foundations
Build and optimize the infrastructure that trains and serves Fireworks' AI models, ensuring high performance and scalability for enterprise workloads.
Senior AI Engineer
Build and scale dunnhumby’s Enterprise AI Platform, designing production-grade AI systems including RAG, agentic workflows, and LLM-powered services using Python, LangChain, and cloud-native tools.
2027 Shanghai Software Developer Summer Internship
Build trading systems and AI-driven compute platforms for quantitative finance, contributing to production code and machine learning workloads in a fast-paced internship.
2027 Shanghai Machine Learning Engineer Summer Internship
Build and train ML models that power real-time quantitative trading systems, working with PyTorch/JAX and distributed compute platforms in a fast-paced finance setting.
Applied AI Machine Learning Director
Lead AI/ML engineering for agentic systems at JPMorgan Chase, designing LLM orchestration, RAG pipelines, and reusable GenAI components in Python with PyTorch/TensorFlow.
Applied Artificial Intelligence/Machine Learning Associate
Build and deploy secure, scalable AI/ML and generative-AI solutions—including LLMs and agent workflows—from prototype to production for a global bank.
Software Engineer, AI/ML Solutions
Build and scale ML platforms and infrastructure for JPMorgan Chase, enabling data scientists to train, deploy, and monitor models securely in a fintech environment.
Applied Artificial Intelligence and Machine Learning Lead
Lead the design and deployment of ML models to detect fraud in merchant transactions using graph-based features, GNNs, and real-time pipelines in a regulated financial setting.
AI/ML Solutions Manager of Software Engineering
Lead engineering teams building and scaling machine learning platforms for JPMorgan Chase, overseeing ML infrastructure, MLOps pipelines, and responsible AI adoption to empower data scientists and ML engineers.
Lead Software Engineer, Quantitative Developer
Lead a team building high-performance analytics for equities trading using KDB+/Q and Python, processing large-scale market data to shape next-gen applications in a global finance setting.
Machine Learning Platform Engineer
Build and maintain the infrastructure that trains, deploys, and serves AI models at scale, using Python, PyTorch/JAX, and LLM serving stacks like vLLM.
LLM Application Engineer
Build and ship LLM-powered AI agent workflows that orchestrate multi-step tasks, integrate tools, and turn probabilistic model outputs into reliable user experiences.
LLM Application Engineer (Remote)
Build and ship LLM-powered AI agent workflows that orchestrate multi-step reasoning, tool use, and real-world task completion with high reliability and user impact.
Machine Learning Technical Lead
Lead the ML execution layer for an AI-native assistant, building scalable training/inference systems in Python/PyTorch/JAX to reliably complete real-world tasks with low latency and high uptime.
Vice President of Research, Machine Learning
Lead AI research to build a proactive smart assistant that handles multi-step reasoning, tool interaction, and long-running workflows with high reliability.
Staff Machine Learning Engineer
Lead the ML execution layer for an AI-native assistant, building scalable training/inference systems in Python/PyTorch/JAX to reliably complete real-world tasks with low latency and high robustness.
Senior Full-Stack Developer AI Engineer Data Scientist (mwd)
Build and maintain full-stack AI-native marketing platform using TypeScript, Python, and agentic coding tools like Claude Code; develop ML models, RAG pipelines, and LLM evaluation frameworks.
Software Engineer (Python) - MLOps Platform
Build and optimize the MLOps platform powering Revolut’s AI products, focusing on scalable Python backend services, GPU workloads, and PyTorch-based model training/inference.
Junior AI/ML Engineer
Build and deploy AI/ML systems for clients, working with LLMs, generative AI, and MLOps using Python, FastAPI, PyTorch, and cloud platforms.