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Senior Machine Learning Engineer at Pinterest building personalized recommendation systems using deep learning and large-scale data pipelines to enhance user experiences across Homefeed, Ads, and Search.
Design and train large-scale computer vision models to power Pinterest's visual search, recommendation, and generative features using multimodal datasets and PyTorch.
Build and maintain ML infrastructure at Pinterest, including feature importance platforms, causal inference systems, and scalable ML pipelines using Python, PyTorch, Ray, and Airflow.
Designs and deploys advanced ML models (including generative AI) for Apple Health, bridging health science and consumer tech to improve user outcomes.
¿Te apasiona convertir datos en soluciones que generan impacto real? ¿Has trabajado desarrollando modelos de Machine Learning y además creando soluciones con IA Generativa y agentes inteligentes? Entonces queremos…
Field Sales Engineer driving pre-sales adoption of Tenstorrent's AI silicon and software platform through customer-facing technical engagement, workshops, and roadmap feedback, leveraging expertise in AI/ML frameworks and data center infrastructure.
Customer-facing Field Application Engineer at AI silicon company Tenstorrent, partnering with sales and enterprise customers to drive adoption of its AI accelerators — running workshops and presentations, solving AI/ML workload challenges, and feeding field insight into the product roadmap. Core tech: PyTorch/TensorFlow, LLMs, computer vision, embedded systems/FPGA, and data center deployment.
Senior Data Scientist builds and deploys NLP and machine learning models to extract, classify, and analyze large-scale legal, news, and business data for internal products.
Build and scale ML systems for DoorDash’s ad marketplace, optimizing bidding, auctions, budget pacing, and forecasting to balance advertiser, consumer, and platform needs.
Lead AI-driven ranking and relevance systems for DoorDash’s ads marketplace, designing and deploying ML/LLM models to personalize ad delivery in real time across global markets.
About the Team Our DD Labs team builds real-time autonomous delivery systems. The Planning & Decision-Making group is investing heavily in deep reinforcement learning to move beyond classical planning, learning…
Leads AI-driven ads and promotions delivery systems at DoorDash, designing real-time ranking/relevance models using deep learning, LLMs, and sequence modeling to optimize merchant-consumer matching across search/discovery platforms.
Leads AI-driven personalization for DoorDash’s consumer shopping journey, designing and deploying ML models to enhance search, discovery, and recommendations across food, grocery, and retail—scaling teams and mentoring engineers to modernize recommendation systems.
Build and deploy large-scale ML systems that power real-time logistics decisions like delivery assignment and ETA estimation, shaping DoorDash’s fulfillment efficiency and cost.
Builds and deploys ML models for personalization and growth, focusing on recommendation systems and causal inference to enhance DoorDash’s grocery/retail search experience using PyTorch/TensorFlow in Python.
About the Team DoorDash Labs is an independent team within DoorDash. We are working on building autonomous delivery robots from the ground-up and other automation solutions as part of DoorDash's core delivery…
Build and deploy ML models for delivery ETAs, prep-time prediction, and logistics optimization at DoorDash Drive, using deep learning, reinforcement learning, and multimodal AI.
Penlink is hiring an AI Engineer in Lincoln, NE (hybrid, 2 days/week onsite) to design, build, and ship AI-powered features in production for its law-enforcement data platform. Day to day: prompt design, LLM/ML model integration and fine-tuning, RAG pipelines, evaluation, and deploying scalable AI systems in the cloud using Python and frameworks like PyTorch.
The Role We are looking for a Machine Learning Engineer to help build cutting edge ML infrastructure for building and serving LLM’s at Moveworks. This role will be critical in building, optimizing and scaling…
Senior Data Scientist at Play Perfect, a Tel Aviv-based mobile gaming company, building production data science models for game economy, segmentation, analysis tools, and marketing. The role relies on advanced statistics, ML/AI, neural networks, and time series analysis using Python and SQL.
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