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Part-time AI Research Assistant focused on applying ML, LLMs, and generative AI to education—reading papers, implementing experiments, fine-tuning models, and contributing to grant proposals using Python and PyTorch.
Our formula for success is to hire exceptional people, encourage their ideas and reward their results. As an AI/ML Research Intern , you will be an integral member of a team of experienced technologists, quantitative…
Company Overview Each year, 2.5 trillion hours are spent on household chores. At Matic, we’re on a mission to recapture that lost time, and we’re doing it by revolutionizing home robotics. Our first product, also…
Build and deploy production-grade ML models and MLOps pipelines for a credit union, using Python, PyTorch/TensorFlow, Azure ML, Databricks, and MLflow to drive automation and decision-making.
Senior Data Scientist builds and improves machine-learning models for real-time ad-tech systems, processing billions of requests using Python, Spark, and SQL.
Builds and improves machine-learning models for real-time ad-tech campaigns, processing billions of requests using Python, Spark, and SQL.
This role involves developing high-quality C++ embedded software for automotive AI-driven systems, such as occupant monitoring. The engineer will collaborate with cross-functional teams to integrate and optimize deep learning models for deployment on resource-constrained automotive hardware.
Develops data-driven insurance solutions by analyzing vast datasets and applying advanced statistical/machine learning techniques to optimize risk assessment and pricing across private cars, commercial vehicles, and motorcycles.
This co-op researcher role at Huawei's Noah's Ark lab involves developing state-of-the-art speech and audio AI technologies through literature review, algorithm implementation, and data analysis. The position requires strong software development skills in C++ and Python, along with experience in deep learning frameworks like PyTorch or TensorFlow.
Senior software engineer builds and maintains data pipelines and ML models for a fintech marketplace, using Java/Python/JavaScript and cloud tools like GCP/AWS.
Redefine the future of customer experiences. One conversation at a time. At Nextiva, we’re reimagining how businesses connect, bringing together customer experience and team collaboration on a single, conversation…
Build and deploy Generative AI systems for RBC Capital Markets sales teams, focusing on client intelligence, deal summarization, and real-time conversation analysis using Python, LLMs, and RAG.
Design and implement AI/ML features for cybersecurity solutions, focusing on autonomous systems, multi-agent workflows, and production pipeline management for the Trend Vision One platform.
The Algorithm Expert will design and implement foundation models for financial behavior sequences to power risk-control systems for DiDi's global fintech business. The role involves building pre-training pipelines, multi-source sequence modeling, and deploying models for fraud detection and credit scoring.
An AI/ML Engineer at Nexstar Media Group designs, builds, and deploys machine learning and agentic AI systems for real-world products, working across the full ML lifecycle from data preparation to model monitoring and iteration.
Principal Data Scientist builds and deploys ML models to drive credit decisions and financial progress for customers, using PyData tools and production-grade pipelines.
Senior Data Scientist builds and deploys machine learning models to make lending decisions for a fintech company, using Python and PyData tools.
Architect end-to-end generative AI solutions (LLM training, deployment, RAG workflows) on NVIDIA hardware, working directly with customers and internal engineering teams to design and optimize large language model systems.
About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated…
Build and deploy AI models and APIs to support Merck’s R&D, manufacturing, and supply chain teams using Python, cloud services, and modern ML practices.
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