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Design, build, and deploy scalable AI and ML solutions using Python, deep learning, LLMs, cloud AI platforms, and MLOps for an HR-focused product company.
Leads development of real-time AI perception systems for autonomous trucks, focusing on long-range detection of road actors using deep learning, sensor fusion, and C++/Python in safety-critical environments.
Lead AI inference optimization and deployment for autonomous-vehicle models, tuning low-latency pipelines on embedded and cloud GPUs with CUDA, TensorRT, and LLM serving stacks.
Senior engineer designs and builds core machine-learning architectures for autonomous-truck perception systems, focusing on long-tail scenarios and cross-team alignment.
Leads a team building large-scale mortgage/real-estate datasets for ICE’s financial clients, bridging business needs with technical solutions (SQL, PySpark, Databricks) and advocating for AI/ML innovations in data analysis.
Builds and scales ML models for ad predictions and monetization across Apple’s App Store and News platforms using deep learning and retrieval systems.
Builds ML models to predict ad interactions and optimize monetization for Apple’s App Store and News platforms using deep learning and retrieval systems.
Builds and optimizes Deep Learning-powered ad-buying systems (RTB model) for global brands, focusing on ML model training, distributed system performance, and production infrastructure.
Build and deploy AI models (NLP/LLMs) and agentic workflows in Python to power Nightfall’s real-time data-loss-prevention security products, alongside Go microservices for scalable data processing.
Build ML models to retrieve and rank relevant ads for Apple’s services, focusing on privacy-preserving algorithms and large-scale experimentation.
Postdoctoral researcher analyzing heavy-ion physics data from sPHENIX and ATLAS experiments, developing scientific ML models for particle reconstruction, and publishing findings in peer-reviewed journals.
Overview At Zebra, we are a community of innovators who come together to create new ways of working. United by curiosity and a culture of caring, we develop smart solutions that anticipate our customer’s and partner’s…
Build and deploy advanced AI/ML models, including LLMs and agentic systems, to solve complex business problems using Python, MLOps, and cloud platforms.
Builds and integrates AI-powered medical imaging software for radiologists, focusing on containerized clinical AI models, front-end modules, and PDF reporting within DeepHealth’s Prostate and Lung AI products.
ABOUT MDA SPACE Building the space between proven and possible, MDA Space is a trusted mission partner to the global space industry. A robotics, satellite systems and geointelligence pioneer with a 55-year+ story of…
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.
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