- Snap Inc. (San Francisco, CA)
- …play a critical role in scaling our ML Infrastructure, optimizing AI training and inference systems , and driving innovations that make Snapchat's ranking and ... such as computer science or equivalent industry experience + Experience working with ML Training platforms or optimizing AI model inference + Familiarity with… more
- DoorDash (San Francisco, CA)
- …a Machine Learning Engineer on the team, you'll design and deploy production ML systems that drive decision-making across Dasher acquisition, incentives, and ... marketplace balancing. You'll own the end-to-end ML lifecycle-from feature engineering and model training ...spend across acquisition, referrals, and retention. + Platformization of ML systems to standardize forecasting, monitoring, and… more
- The Walt Disney Company (Nicasio, CA)
- …Development Group is seeking a highly accomplished **Sr Staff R&D Engineer (AI/ ML )** to lead the development of transformative audio intelligence technologies for ... You will architect, build, and optimize cutting-edge machine learning systems at scale-leveraging foundational models, neural vocoders, latent diffusion models,… more
- Amazon (San Francisco, CA)
- …direct and partner-led customer success motions - Design comprehensive agent systems that transform post -launch customer journeys through intelligent automation ... adoption and business outcomes for customers. You will transform AWS' post -launch customer journey through intelligent automation, predictive insights, and scalable… more
- The Walt Disney Company (Nicasio, CA)
- …Preprocess and format audio files to meet technical standards for data ingestion, ML model training , and evaluation. + Collaborate with researchers and engineers ... to support versioning for evolving datasets used in iterative training pipelines. **What We're Looking For** + Bachelor's Degree...or Aspera. + Familiarity with media asset management (MAM) systems and metadata standards in post -production. +… more
- DataRobot (San Francisco, CA)
- …down complex problems into steps that enable customers to leverage their data and AI/ ML to create business value. The ideal candidate will also have experience with ... unstructured and structured data management capabilities like RAG systems , accessing data across various data stores and warehouses and preparing data at scale for… more
- Capital One (San Francisco, CA)
- …large language model from scratch (10B + parameters, 500B+ tokens) or through continued pre- training , post training pipeline for alignment and reasoning, LLM ... Capital One, we are creating trustworthy and reliable AI systems , changing banking for good. For years, Capital One...scratch (10B + parameters, 500B+ tokens) or through continued pre- training , post training pipeline for… more
- Amazon (San Francisco, CA)
- …detect, investigate, and remediate problems faster, and coupled with AI and ML , proactively react, predict, and prevent problems. As a Principal Observability ... you will drive enterprise adoption and value realization for Customers in their post launch journeys around observability. In this role, you will engage and build… more
- MongoDB (San Francisco, CA)
- …writing clear requirements, coordinating prototypes, to assisting with launches and post -launch iteration under guidance from senior PMs. + Backlog and roadmap ... and MVP scopes. + Adoption and enablement + Assist with UAT, documentation, training materials, and rollout plans that drive adoption and measurable outcomes (time… more
- Deloitte (San Francisco, CA)
- …phases of the lifecycle - assess, design, and implementation & post -implementation reviews. + Implementing industry leading practices around cyber risks and ... cloud security for clients. + Provide internal cloud and DevSecOps security technical training to Advisory personnel as needed. + Acting as a subject matter… more