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Staff ML Engineer
Lead a team of ML engineers to design, deploy, and scale machine-learning models for RBC Wealth Management, using Python, Java, AWS/Azure, and MLOps practices.
Manager, Data Science (Personalization & Recommendation Systems) (Remote)
Lead a data-science team to build and deploy ML models that power personalized shopping experiences and recommendation systems for an ecommerce retailer.
Manager, Data Science (Personalization & Recommendation Systems) (Remote)
Lead a team of data scientists to build and deploy ML models for personalized recommendations and ranking systems that drive conversion and revenue in a large retail ecommerce platform.
Senior Machine Learning Engineer (3967)
Design, train, and deploy cutting-edge ML and computer-vision models for identity verification, using PyTorch and modern architectures like CNNs and transformers to improve document and biometric KYC systems.
Data Platforms Analyst - National Geographic
Build and maintain data pipelines, models, and segments for National Geographic’s subscription business using SQL, Python, and cloud warehouses to drive marketing and personalization.
Data Scientist
Build statistical and ML models on large pharma datasets in Databricks/AWS to inform business decisions, partnering with cross-functional teams.
Machine Learning Engineer
Build and ship ML-based features for Apple, focusing on training pipelines, inference infrastructure, and on-device model optimization for foundation models and multimodal systems.
Software Engineer, Customer Experience
Build and automate support systems for Ollama’s open-source AI runtime, triage user issues, and ship fixes to improve developer experience across platforms.
Senior Backend Engineer, Recommendations
Build and lead backend services for a media platform, focusing on scalable recommendation systems using Go and AI/ML integrations.
Data Scientist
Build and deploy AI/ML models and GenAI assistants using Python, LLMs, and vector databases; develop APIs and frontend interfaces to integrate AI solutions into products.
AI Engineer (Managed Services)
Build and deploy enterprise LLM applications, RAG systems, and AI agents using open-source models (DeepSeek, Qwen, Kimi) and frameworks like LangChain and vLLM.
Sr. Software Engineer (AI/ML)
Build and own back-end systems and ML pipelines for AI-powered cybersecurity threat detection, using Python/Go/Node.js on Kubernetes and deploying generative AI workflows.
Software Engineer
Build and deploy AI-driven security systems, including LLM-based and RAG pipelines, to transform enterprise data into actionable insights and automation.
Senior AI/ML Engineer
Build and scale ML pipelines to normalize telematics data, detect anomalies, and forecast routes for logistics and insurance customers using time-series and geospatial models.
Solution Architect
Designs end-to-end data and AI architectures for a secure government program, ensuring scalable, resilient, and compliant solutions using cloud platforms and big data technologies.
Senior Software Engineer, AI/ML GenAI, Search
Develops AI/ML and GenAI solutions for Google Search, designing large-scale systems and optimizing model deployment to improve global information retrieval and accessibility for billions of users.
Associate Data Scientist
Build and deploy AI models to improve B2B payment workflows at a fintech company, using Python, SQL, and cloud tools.
Software Engineering Manager II, Agentic Planning and Memory
Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major…
MLOps engineer
Build and maintain ML engineering platforms and pipelines, deploy models to cloud instances, and collaborate with data scientists to optimize workflows using tools like Kubeflow, MLFlow, and Kubernetes.