About the Position Our goals are to give you a real sense of what its like to work at Jane Street as a Machine Learning Engineer while also providing a truly unparalleled educational experience. Youll be paired with full-time
Job Posting Title:Lead Machine Learning Engineer Req ID:10143264 Job Description: This is not a remote role. You must be in the local area or willing to relocate. Department/Group Overview: The cross-media measurement and advanced analytics organization is responsible for
We design Spotify’s consumer experience—end to end, moment to moment, across every screen, platform, and partner integration. Our mission is to make listening feel effortless, personal, and joyful for billions of users around the world. That
Our mission on the Advertising Product & Technology team is to build a next generation advertising platform that aligns with our unique value proposition for audio and video. We work to scale the user experience for
Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), youll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and
Teamwork makes the stream work. Roku is changing how the world watches TV Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and weve set our sights on powering every television in
Our mission is to make the world programmable. Sight is one of the key ways we understand the world, and soon this will be true for the software we use, too. We’re building the tools, community,
We are seeking a skilled LLM Engineer I to join our team in the SinAI Assurance Lab. The LLM Engineer will play a key role in designing, building, and deploying large language model (LLM) applications including retrieval-augmented generation
WHAT IS BOX? Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help
About Rippling Rippling gives businesses one place to run HR, IT, and Finance. It brings together all of the workforce systems that are normally scattered across a company, like payroll, expenses, benefits, and computers. For the
Our client is seeking an Senior Machine Learning Engineer to join their Center for Data Analytics, Innovation, and Rigor (DAIR) team in New York City. As the Senior Machine Learning (ML) Engineer, you will apply expertise in Natural Language Processing (NLP) and
About the Company Rain makes the next generation of payments possible across the globe. We’re a lean and mighty team of passionate builders and veteran founders. Our infrastructure makes stablecoins usable in the real-world by powering
This position is Onsite/Hybrid - Requires 1 day onsite a week Location: 150 E 42nd Street, New York, NY Machine Learning Engineer III - AI Agent Engineer will oversee the design and development of sophisticated machine learning systems. They will collaborate closely
Reimagine the infrastructure of cancer care within a community that values integrity, inspires growth, and is uniquely positioned to create a more modern, connected oncology ecosystem. Were looking for a Senior Machine Learning Engineer to help us accomplish our
About AvePoint: Beyond Secure. AvePoint is the global leader in data security, governance, and resilience, going beyond traditional solutions to ensure a robust data foundation and enable organizations everywhere to collaborate with confidence. Over 25,000 customers
SummaryWe build frontier foundation models that power intelligent experiences at Apple. Our team works across the full training lifecycle: including pre-training foundation models, and developing mid-training approaches that bridge general capability and task-specific performance. What makes
SummaryWould you like to contribute to Machine Learning and Generative AI technologies? Are you passionate about measuring what matters and ensuring AI systems work reliably for everyone? Do you believe that rigorous evaluation — including holding models accountable
The Offline Driving Intelligence team is responsible for developing Foundation Models for ML Agents and planning, applying them off-vehicle to provide generalization capabilities to simulation and validation. Our team collaborates closely with the Planner, Simulation and
Waymo is an autonomous driving technology company with the mission to be the worlds most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The
About Scale Scale’s mission is to develop reliable AI systems for the world’s most important decisions. As the leading AI data foundry, we provide the high-quality data and full-stack technologies that power the world’s most advanced