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Senior AI/ML Engineer designs, deploys, and monitors enterprise-scale AI systems including generative AI, vector search, and RAG pipelines using Python, TensorFlow, and MLOps tools.
Senior ML engineer builds and owns production-grade agent systems for AI-driven business decision tools, focusing on planning, tool use, evaluation, and post-training improvements.
Designs and builds scalable, cloud-native backend systems in Go for real-time AI/ML applications, focusing on microservices and robust service communication.
Research and develop deep-learning models for 3D CT imaging to extract biomarkers and endpoints that accelerate clinical trials and drug discovery.
Senior Machine Learning Engineer builds and improves search, ranking, and personalization systems using ML and LLMs to deliver relevant content to millions of users in real time.
Build and deploy AI models for 3D medical imaging to speed up clinical trials; core tech includes PyTorch, ONNX, TensorRT, Docker, and cloud ML pipelines.
Design and run automated tests for AI/ML apps, LLM-powered tools, and chatbots using Playwright, REST Assured, and Python; validate AI outputs for accuracy, bias, and safety.
Senior Machine Learning Engineer building and optimizing generative AI services for Adobe’s Firefly suite, integrating models into products like Photoshop and Premiere using PyTorch, CUDA, and Kubernetes.
Lead a team to build and govern trustworthy AI systems at scale, defining quality standards, evaluation platforms, and governance controls for generative AI and agentic products.
Build and optimize AI-driven knowledge graph and search services using LLMs, NLP, and RAG pipelines in a Kubernetes-based microservice environment at Zoom.
Build and deploy deep-learning models in PyTorch, optimize them for performance, and troubleshoot issues across diverse tasks and client environments.
About the Role Applied AI at Uber builds intelligent systems that power critical product experiences across the platform. As a Senior Machine Learning Engineer — Computer Vision, you will develop and deploy…
Senior AI/ML engineer builds and deploys production LLM and agentic systems to automate healthcare reimbursement workflows and dispute underpaid claims for providers.
Designs and deploys ML models for Apple News, Books, and Stocks apps, focusing on text extraction, search, ranking, and recommender systems to improve user experience.
Build and maintain large-scale compute infrastructure and ML libraries for Optiver's new AI Lab, supporting PB-scale data model training and simulations using CPU/GPU clusters, containerization, and distributed training algorithms in a fintech trading environment.
Build and deploy production-grade LLM/NLP systems for financial services, fine-tuning models, optimizing pipelines, and ensuring low-latency, high-availability AI workflows in regulated environments.
Senior ML Engineer builds and curates large-scale vision-language datasets to train Torc’s autonomous truck-driving models, using cloud pipelines, open-vocabulary labeling, and distributed compute.
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.
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.
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