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Build and improve Google Search’s personalization and ranking systems using AI/ML to tailor results for billions of users globally.
The Senior Data Scientist will design, develop, and deploy AI models using transformer architectures and foundation models to analyze telemetry data for ArcGIS users. The role involves fine-tuning models with LoRA/QLoRA, building evaluation frameworks, and collaborating with cross-functional teams to deliver production-ready AI solutions.
Own AI-powered HR product features, from discovery to launch, collaborating with engineers, designers, and stakeholders to deliver intelligent workflows and automation.
Lead a team to design and implement ad-optimization models for Vinted’s in-house advertising platform, balancing revenue, relevance, and user experience using Python, SQL, and BigQuery.
Lead a team to design and implement ad-optimization models for Vinted’s in-house advertising platform, balancing revenue, relevance, and user experience using machine learning and real-time systems.
Own a 3-4 month AI-powered ad-tech program: turn scope into a sequenced backlog, coordinate dev squads and external APIs, and deliver enterprise-ready features for media practitioners.
Build and scale large-scale ML infrastructure for Reddit’s recommendation systems, designing models, training pipelines, and low-latency serving to improve personalization across the platform.
This role leads the strategy and execution of ML-powered personalization and agentic assistant capabilities across JP Morgan Chase's digital and physical channels. The Product Manager will collaborate with data scientists and engineers to build scalable, reliable AI products while managing the full product lifecycle and ensuring compliance with responsible AI standards.
This role involves developing and deploying advanced AI and machine learning models to drive commercial analytics and business effectiveness within a healthcare context. The analyst will utilize Python, SQL, and Snowflake to process healthcare datasets and provide actionable insights for cross-functional teams.
Build and deploy AI/ML models using healthcare datasets to optimize commercial strategies, patient targeting, and forecasting for a biopharma company.
Manage a team of Data Scientists at Sanofi's Commercial Data Science division in Toronto, leading the design and deployment of AI, ML, Generative AI, and Agentic AI solutions for commercial operations using Python, cloud platforms (AWS/GCP), and tools like Snowflake.
Lead Data Scientist driving AI, ML, GenAI, and Agentic AI solutions for Sanofi's commercial pharma operations, working end-to-end from design through deployment using Python, LangChain/LangGraph, cloud platforms, and Snowflake.
Design, develop, and deploy AI/ML solutions including RAG systems, LLM integrations, and vector embeddings using Python, React, and cloud platforms at a pharmaceutical company.
The Senior Software Engineer will design, develop, and deploy scalable AI/ML-powered features and models into production environments. The role involves collaborating with data scientists and product teams to integrate AI capabilities into existing systems using Python and modern AI architectures.
Design, build, and operate high-performance ML inference platforms for LLMs, vision, and recommendation models, focusing on GPU optimization, autoscaling, caching, and observability using Python, Go/Rust/C++, Kubernetes, and frameworks like vLLM and TensorRT-LLM.
Designs and leads agentic search architecture combining LLMs and retrieval systems to answer complex contract-related questions, driving eval-driven improvements in search quality and content understanding for Ironclad’s AI platform.
Own applied AI/ML solutions powering patient-provider matching, search ranking, and clinical personalization at a mental health company—building production recommendation engines, LLM integrations, and ML infrastructure using Python, vector databases, and search/relevance systems.
Build and deploy ML models for Robinhood’s core ranking, recommendation, and personalization systems using PyTorch, XGBoost, and distributed frameworks like Spark and Kubernetes.
Build and deploy AI models for personalization, search, and fraud detection at a large fintech platform, using modern ML techniques like LLMs and agentic workflows.
Principal Machine Learning Scientist at TripAdvisor in London designing and scaling AI systems for travel discovery, ranking, and recommendations using deep learning and graph-based methods.
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