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Build and lead Canva’s high-traffic recommendation systems using ML to personalize templates, media, and design tools for 200M+ monthly users.
Build and optimize AI benchmarking systems, design data-intensive backend APIs, and create interactive visualizations to evaluate cutting-edge AI models for a leading independent AI benchmarking company.
Designs and builds next-generation AI models for Apple’s products, focusing on large language models, multi-modal systems, and reasoning agents using Python and deep learning frameworks.
Build and deploy ML models for Apple News, Books, and Stocks apps, focusing on text extraction, search, ranking, and recommender systems using Python and deep learning frameworks.
Build and shape AI-driven productivity features for Canva’s Docs, Sheets, and other tools, integrating LLMs and agents to automate user workflows at scale.
Designs and builds production-ready AI/ML systems and MLOps pipelines for clients, spanning cloud infrastructure, software development, and data science using Python, Terraform, and major cloud platforms.
The Role We're looking for a Machine Learning Engineer to own and advance the forecasting and predictive modeling capabilities at the heart of the Camus platform. This is an individual contributor role with real…
Develop underwater computer-vision algorithms for fish-farm monitoring using deep learning, 3D vision, and edge deployment on Jetson/GPU hardware.
Senior MLOps engineer at a large Asian bank, building and deploying AI models (traditional, generative, agentic) into production using cloud, containers, and CI/CD pipelines.
Designs, builds, and deploys AI/ML and GenAI solutions for cloud applications, owning the full lifecycle from model development to MLOps and monitoring.
Designs, builds, and deploys AI/ML models, LLM systems, and agentic-AI solutions for an education technology academy, using Python, cloud platforms, and modern AI workflows.
Design and evaluate cutting-edge AI models for a research initiative, focusing on machine learning and natural language processing tasks using Python and frameworks like PyTorch or TensorFlow.
Designs and builds AI-driven applications using generative AI, cloud services, and deep learning pipelines, ensuring production-ready, scalable solutions in a team-leading capacity.
Build and lead a secure, cloud-native data platform at Salesforce that ingests security signals from multiple sources, integrates AI/ML for risk analysis, and automates remediation using Java, Spark, and AI tools.
Lead a team of up to 10 ML engineers and researchers to develop and ship generative AI models for Adobe’s Firefly, Express, and enterprise products, from research to production-scale deployment.
Designs and deploys AI/ML algorithms for medical devices, analyzing physiological signals and clinical data to improve patient monitoring and disease detection.
Lead AI/ML governance programs at JPMorganChase, streamlining model lifecycles and controls for generative and agentic AI solutions while aligning cross-functional teams and risk partners.
Builds AI agents and LLM-powered apps using Python, prompt engineering, and GitHub Copilot to prototype and improve software development workflows.
Designs and implements AI/ML models to automate and enhance customer support experiences using deep learning, NLP, and predictive analytics.
Build and deploy ML systems that power bird identification tools used by millions, working with large biodiversity datasets and cloud infrastructure.
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