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Research and engineer next-generation diffusion and flow-based models for image, video, and multimodal generation, scaling training and deployment on GPUs/TPUs.
Build and deploy AI/ML models for defense and intelligence use cases using Python and PyTorch, from research to production deployment.
Develop compiler optimizations for Apple’s Neural Engine to run AI models efficiently on devices like Vision Pro and iPhone.
Build and improve ML systems that make real-time underwriting decisions for Affirm’s buy-now-pay-later checkout, using Python, PyTorch, and distributed data tools.
Build and optimize computer-vision models that analyze food waste in commercial kitchens, turning camera feeds into actionable insights for restaurants and food services using PyTorch and OpenCV.
Lead a team of data scientists and engineers building ML systems to detect fake reviews and protect Trustpilot’s open review platform, from research to production deployment.
Who we are Aurora’s mission is to deliver the benefits of self-driving technology safely, quickly, and broadly. The Aurora Driver will create a new era in mobility and logistics, one that will bring a safer, more…
Build ML models to predict road-user behavior and interactions for autonomous systems, collaborating with perception and planning teams using C++/Python.
Lead AI/ML projects at a financial-data platform, building NLP models for text classification and time-series analytics to power investment decisions.
Designs and builds AI models (ML, deep learning, NLP, CV) to automate tasks and improve decisions, then integrates them into production systems.
Build and deploy deep-learning models for real-time ad auctions, including CTR/CVR prediction and ranking, at massive scale with sub-7ms latency.
Build and deploy deep-learning models for real-time ad auctions, ranking, and bidding at scale, using GCP pipelines and Python/Java/Go.
Develops and evaluates advanced AI algorithms for Apple’s computer vision and video understanding systems, focusing on benchmarking, failure analysis, and agentic system design to ensure robustness and safety in production environments.
Build agentic AI systems using frontier LLMs, document AI pipelines, and RAG for legal/contract analysis, while collaborating with stakeholders to deliver production-grade solutions.
Senior Applied Researcher builds next-gen AI models using LLMs and deep learning to enhance CrowdStrike’s cybersecurity products at massive scale.
Design and develop ML classification algorithms for EEG-based seizure detection in acute care settings, using time-series analysis and biomedical signal processing.
Lead the design vision for a key product area at a property and casualty insurer, using user-centered processes and AI tools to create intuitive digital experiences and mentor designers.
Build and scale text-data pipelines for training large language models, curate datasets, and collaborate with ML teams to improve AI models powering MercadoLibre’s ecommerce and fintech platforms.
Build and validate ML models using Python, Spark, and AWS to integrate alternative data into credit decisioning, collaborating with engineers and product teams.
Build and deploy ML models to detect and prevent real-time debit transaction fraud using Python, Spark, and gradient boosting, while collaborating with engineers and product teams to protect customers.
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