- Meta (Menlo Park, CA)
- …"Apply to Job" online on this web page. **Required Skills:** Production Engineer Responsibilities: 1. Develop, design, create, modify, and/or test software services ... Machine Learning infrastructure components to improve ability to train ML models and improve their reliability. **Minimum Qualifications:** Minimum Qualifications:… more
- Amazon (Sunnyvale, CA)
- Description We are looking for an experienced software engineer to join our team and work on supporting cutting-edge generative AI projects. Key job responsibilities ... and extract meaning. * Develop data pipelines and infrastructure to deploy ML models which intelligently classify petabyte-scale datasets. * Work closely with… more
- NVIDIA (Santa Clara, CA)
- …cater to their infrastructure and software development workflow needs. As a senior engineer on AI Workflow, you will create and establish tools and software ... + Deep practical knowledge of Large Language Models (LLMs), Machine Learning ( ML ), and Agent development + Strong background in implementing AI solutions to… more
- Microsoft Corporation (Mountain View, CA)
- …entitlement management, capacity planning, and escalation support. + **Collaborate with applied scientists** to integrate ML -driven methods (synthetic data, ... PII detection/handling, compliance, and secure data management. + Familiarity with AI/ ML workflows, training data pipelines, or synthetic data generation. + Strong… more
- Amazon (Santa Clara, CA)
- …(CET) department. Leveraging conversational Artificial Intelligence (AI) and machine learning ( ML ) technology, we strive to predict and resolve customer issues ... and validation protocols. - Lead the creation of a sophisticated ML inference service that orchestrates complex interactions between multiple models, including… more
- Google (Mountain View, CA)
- …environment What makes this job unique at Google? + A challenging set of Applied ML problems with many unsolved and open-ended questions. In building user-facing ... products, you will uncover new and challenging research problems to be addressed. + An opportunity to build something new, rather than an addition to an existing product. + An opportunity to help grow a team from scratch. + The possibility of high impact for… more
- Ford Motor Company (Palo Alto, CA)
- …and report results clearly and concisely. + Fulfill problem formulation and ML approaches. Required Qualifications: + Bachelor's or Master's degree in Computer ... Science, Statistics, Applied mathematics, or other engineering discipline. + 2-3+ years experience in feature engineering, model development, hyper parameter tuning,… more
- Amazon (San Diego, CA)
- …In this role you will leverage your engineering background and expertise in ML to lead developing foundational behavioral model for Amazon Stores using LLM and ... size and hardware such as GPU. - Collaborate with other talented applied scientists and engineers to develop an improved training infrastructure that accelerates… more
- NVIDIA (Santa Clara, CA)
- …Experience with AI/HPC job schedulers and orchestrators, such as Slurm, K8s or LSF. Applied experience with AI/HPC workflows that use MPI and NCCL. + Proficient in ... and staying ahead of new technologies and effective approaches in the HPC and AI/ ML infrastructure fields. Ways to stand out from the crowd: + Experience with NVIDIA… more
- Walmart (Sunnyvale, CA)
- …ability to build, deploy, maintain and troubleshoot large scale systems. As a Principal ( ML Engineer ) Data Scientist, you'll have the opportunity to + Lead and ... **What you'll do:** We are looking for a Principal Machine Learning Engineer who can help build large scale AI/ ML /Optimization products. Expected… more