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*Telecommuting role to be performed anywhere in the U.S. Analyze and process large-scale structured and unstructured datasets using SQL tools (PostgreSQL, PL/SQL, Spark SQL), API integrations (including Google Suite…
While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity,…
Internship Description Neutrinos are tiny, nearly massless particles that rarely interact with matter, making them hard to study. The Deep Underground Neutrino Experiment (DUNE) will use large liquid-argon time…
In This Role, Your Responsibilities Will Be: Participate in the architecture of data collection, organization, and analysis from various sources including manufacturing and global service partners for AI/ML based…
Job Description Who We Are Creative Artists Agency (CAA) is the leading entertainment and sports agency, with global expertise in filmed and live entertainment, digital media, publishing, sponsorship sales and…
Develop end-to-end search ranking algorithms and recommendation systems for Airbnb using large-scale data and machine learning. Collaborate cross-functionally to build, productionize, and optimize ML models and infrastructure for personalization and marketplace growth.
Build and fine-tune large language models for healthcare, creating conversational AI that automates claims and improves patient experiences using Python, PyTorch, and cloud ML platforms.
Leads robotics AI deployments for enterprise customers, designing and validating ML solutions using CoreWeave’s platform and tools, while establishing the company’s robotics field engineering practice.
ADVANCE YOUR CAREER. ADVANCE THE WORLD. At AMD, we believe technology has the power to solve the world’s most important challenges. From advancing healthcare and scientific discovery to powering AI and the technologies…
Senior Machine Learning Engineer builds and optimizes deep-learning models for customer behavior prediction using PyTorch/TensorFlow, collaborating with client teams to drive business decisions at scale.
About the Role NFA is looking for an experienced software engineer to join us in developing state-of-the-art perception and localization for forestry machines - running on our hardware platform in the field in real…
Lead a team building embedding and language models to power AI-driven reader experiences at The New York Times, integrating LLMs into products while upholding journalistic independence.
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.
Senior Applied Data Scientist focused on improving entity resolution at scale by developing and evaluating ML, embedding, and LLM-based matching approaches for complex business records, partnering with engineering to productionize successful models.
Senior AI Engineer developing reinforcement learning algorithms for dexterous manipulation on delivery robots, using deep learning, C++, and Python to translate sensor data into motor commands for real-world grasping and contact-rich manipulation tasks.
The Senior Data Scientist will develop and deploy machine learning models and agentic LLM systems to detect and prevent fraud within the Grab ecosystem. This role involves end-to-end model lifecycle management, from research and data orchestration to production deployment and monitoring.
BOLD is seeking for the newest addition to our existing Data Science team, you’ll combine your analytical skills and business knowledge to deliver key insights to our Product and Management teams. You’ll help drive…
Join our Team About the opportunity Ericsson’s Service Architecture team, within Service Management in the Operate Service Line, is building intelligent automation and decision-support systems for telecom-scale…
Designs and deploys AI-driven banking solutions using Python, LLMs, and agent workflows to automate processes and improve customer experience in a regulated financial environment.
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