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About Arena Intelligence Arena is the platform for evaluating how AI models perform in the real world. Founded by researchers from UC Berkeley's SkyLab, we're on a mission to measure and advance the frontier of…
Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making…
Position Summary Nurses take care of everyone else — our mission is to take care of them — helping healthcare professionals live better lives and find and do their best work. Over one million nurses and 1,500+…
Sciforium is an AI infrastructure company developing next-generation multimodal AI models and a proprietary, high-efficiency serving platform. Backed by multi-million-dollar funding and direct sponsorship from AMD with…
The Cloud and Data Engineer will optimize data pipelines and ETL processes using Databricks, while designing AI agentic workflows and integrating LLMs into data systems. The role involves collaborating with cross-functional teams to ensure data integrity and building automated testing frameworks within a cloud environment.
Build and deploy AI-driven models to optimize ad performance and monetization for publishers using large-scale data pipelines and agentic AI tools in a hands-on role.
About CFD Research: Since its inception in 1987, CFD Research has delivered innovative technology solutions within the Aerospace & Defense, Biomedical & Life Sciences, Intelligence & Sensing, and Energy…
Senior Software Engineer on Google's Shopping Product Graph team, building ML/AI systems and LLM-based product understanding at massive scale using Python, C++, or SQL.
The People Research Data Scientist will design and conduct rigorous fairness and bias assessments for AI-assisted talent processes and decision-support systems at OpenAI. This role involves building scalable evaluation infrastructure and partnering with cross-functional teams to mitigate risks across the employee lifecycle.
Build and monitor ML models to detect and reduce fraud across SoFi’s lending, cards, and crypto products, analyzing loss trends and translating insights into actionable risk strategies.
This role involves developing scalable backend services and ML pipelines to transform text-heavy shopping experiences into visually immersive interactions using Generative AI and multimodal models. Engineers will work on integrating visual assets like product cards and carousels into Gemini and AI-driven shopping features.
The Data Scientist will develop and manage machine learning models for wholesale power and gas market applications, including price forecasting and trading algorithms. The role involves the full ML lifecycle, leveraging deep learning and cloud technologies to support the Commodities team in the ERCOT and PJM markets.
Software engineer on Google's Platforms and Devices team architecting, training, and deploying machine learning models for depth estimation on Android XR headsets and smart glasses using C++ and Python.
Lead Product Owner driving the roadmap and delivery of an LLM-based vulnerability scanning and application security platform, collaborating across Engineering, Security, and Agile teams using GenAI, DevSecOps, and CI/CD technologies.
Senior ML Engineer developing and deploying deep learning models to automate orthodontic treatment planning, focusing on 3D geometric processing and multimodal data fusion using Python, PyTorch, and AWS.
Job Title: Full Stack AI/ML Engineer Duration: 12 Months with possible extension Location: Fort Mills, SC Hybrid Core focus: Python AI/ML LLM/RAG APIs Cloud Production Engineering Job Description: We're looking for an…
The Senior Machine Learning Engineer will build and productionize AI-based solutions for ad creative and campaign performance using Python, cloud infrastructure, and modern ML frameworks. This role involves working within the AI Platform team to enhance MLOps capabilities and deliver high-impact advertising experiences.
Overview Microsoft is helping define a new era of scientific and industrial innovation: one where agentic AI, cloud-scale computing, data, simulation, and human expertise come together to accelerate breakthroughs that…
The MLOps Engineer will manage the end-to-end lifecycle of Large Language Models, including fine-tuning, data pipeline development, and production deployment on AWS. The role focuses on building scalable AI infrastructure using tools like Hugging Face, Docker, and Kubernetes.
Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with uniting top AI talents and organizing the first Data Science tech conference in Kyiv. Over the past 9…
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