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【 注 】 此岗位为2027校园招聘岗位。如您是在非校招官网看到的招聘信息，为保证申请的完整性和反馈的及时性，请您前往 校招官网( ) 进行申请投递。 You will experience: Participate in the design and implementation of projects related to Real-World Evidence (RWE), healthcare data analytics,…
The Ads Marketing Decision Science team builds intelligent, data-driven systems that transform advertiser experiences through precise personalization and automated optimization. We decode complex patterns in advertiser…
Job Description The Role The Simulation organization is solving one of the most challenging problems in autonomous driving: rigorously evaluating the performance, safety, and limitations of the autonomous driving…
We don’t just believe in better. We make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast,…
NVIDIA is looking for a Machine Learning Engineer to join the GPU accelerated Apache Spark team. Apache Spark is the most popular data processing engine in data centers for running massive scale workloads for ETL, SQL,…
About Ingredion: Join Ingredion, where innovation impacts lives worldwide! Without even realizing it, you’ve experienced our work in your favorite chocolate, your pet’s food, the paper you write on, and your everyday…
Who are we, and what do we do? At Corteva Agriscience, you will help us grow what’s next. No matter your role, you will be part of a team that is building the future of agriculture – leading breakthroughs in the…
*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…
About Apertera Apertera is leading the evolution of language solutions for high-stakes content. We partner with enterprises as an extension of their teams, combining professional expertise with Adaptive AI technology…
About the role and team Uber's Marketplace Matching team builds the real-time decision systems that determine how riders and drivers are matched across a global, two-sided marketplace. These decisions happen under…
Join our Global Services Insights & Analytics team and help turn data into decisions that improve how we operate. You’ll partner with senior leaders, tackle meaningful business problems, and deliver insights that…
About Thinking Machines The mission of Thinking Machines is to build AI that extends human will and judgment. We are training frontier models with Inkling, developing Tinker to let people make models their own, and…
Overview Our team is at the forefront of transforming digital advertising through intelligent automation and large-scale optimization. We design and build the bidding platform that powers real-time ad auctions across…
Designs and deploys ML models to predict and prevent GPU cluster failures, optimizing real-time AI infrastructure reliability and utilization.
Leads cross-functional programs to improve AI workload scheduling and training workflows on CoreWeave's cloud infrastructure, using Kubernetes, Slurm, and AI/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.
Staff Applied Research Engineer on CoreWeave's OpenPipe team, developing self-improving AI agents that learn from experience using reinforcement learning and LLM post-training techniques. Work spans from RL research to production systems, leveraging GPU-rich infrastructure and tools like Megatron and Kubernetes to solve bottlenecks in continuous agent learning.
Research and build continuous learning systems for self-improving AI agents on the OpenPipe team. You'll investigate RLHF, reward modeling, and on-policy distillation to solve production bottlenecks in agent training. Core stack uses PyTorch/JAX for model training with Kubernetes and Megatron for distributed GPU infrastructure.
Meet Slingshot At Slingshot Aerospace, we're on a mission to make space safer and more secure for everyone. Our work directly impacts global security, disaster response, climate monitoring, and the critical…
Build and maintain the machine-learning infrastructure that trains and deploys AI models for medical imaging, including distributed training, data pipelines, and production serving.
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