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Designs and oversees AI architecture for CBC/Radio-Canada, integrating LLMs, ML pipelines, and agentic AI systems while ensuring compliance, scalability, and business alignment in media tech.
Join RBC Borealis as a Machine Learning Researcher, developing novel AI solutions (generative AI, NLP, time series analysis) using Python and deep learning tools, with access to massive datasets and computational resources.
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.
Build AI inference systems that serve large-scale models with extreme efficiency, optimizing GPU kernels and compilers, working with vLLM, CUDA, and other AI/ML technologies to push the frontier of accelerated computing.
Build and improve classical ML models for anomaly detection and classification in physical measurement data using Python and scikit-learn.
Develop and deploy end-to-end machine learning algorithms and pipelines for financial services using Python, applying software engineering best practices from data processing to production monitoring.
Research and develop AI-driven autonomy for drones, integrating learning-based methods with classical robotics to deploy intelligent flight systems in real-world environments.
As a Machine Learning Research Engineer at RBC Borealis, you’ll build ML-based software solutions, collaborate with stakeholders, prototype algorithms, and integrate them into products using Python 3.x, PyTorch, JAX, or Tensorflow, focusing on generative AI, NLP, and time series analysis.
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.
Designs and optimizes large-scale LLM serving infrastructure at LinkedIn, focusing on GPU performance, cost efficiency, and latency improvements for AI models in production.
Machine Learning Engineer at Deeter Analytics building deep-learning models on market data, working end-to-end from raw data to production models using Python, PyTorch, and GPU infrastructure in a fully remote role.
Build and deploy AI-native data infrastructure at Apple scale, designing LLM agents, retrieval systems, and evaluation pipelines to transform how users access iCloud content across devices.
This PhD internship role involves developing and deploying machine learning models to enhance content understanding for TikTok's SMB live streaming platform. Interns will work on the full model lifecycle, from training to production, using languages like Python, Go, Java, or C++ and deep learning frameworks.
Design and develop computer vision algorithms for space debris detection, tracking, and 6DoF pose estimation using Python, C/C++, OpenCV, TensorFlow, and PyTorch within a hybrid team in the UK.
Design, develop, verify and deploy computer vision algorithms for spacecraft and ground systems, including space object detection, tracking, and 6DoF pose estimation, using Python, C/C++, OpenCV, TensorFlow, and PyTorch.
Kroll is hiring a Data Science Manager to lead and grow our data science function within the Enterprise Data Group. This role sits at the intersection of technical leadership and strategic delivery — you will shape how…
Senior Data Scientist designs and deploys ML models (traditional, deep learning, NLP, LLM/GenAI) on Azure/Databricks to solve fintech risk and compliance challenges.
Builds and deploys ML models (traditional, NLP, GenAI) for fintech/government clients, focusing on data pipelines, feature engineering, and model monitoring in Databricks/Azure.
Lead Python engineers design and deploy production-grade cloud-native ML services on AWS, collaborating with cross-functional teams to solve complex business problems using deep/reinforcement learning.
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