- Google (San Francisco, CA)
- …and presenting to, technical stakeholders and executive leaders. + Experience with Machine Learning model development and deployment. + Experience with ... (eg TPUs, GPUs), model architectures (eg encoders, decoders, transformers), and using machine learning APIs. **Preferred qualifications:** + Master's degree in… more
- Google (Sunnyvale, CA)
- …and presenting to, technical stakeholders and executive leaders. + Experience with Machine Learning model development and deployment. + Experience with ... (eg PyTorch, Tensorflow, Jax, Ray, etc.) and using machine learning APIs. **Preferred qualifications:** + Master's...or infrastructure for scalable, distributed systems. + Experience in data and information management as it relates to big… more
- Intuit (Mountain View, CA)
- …hands-on data analysis and modeling with huge data sets + Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve ... Intuit AI team. This team embeds artificial intelligence and machine learning into our product portfolio and...in Linux environment + 1+ years of experience in data mining algorithms and statistical modeling techniques such as… more
- Meta (Menlo Park, CA)
- …by leveraging or developing state of the art statistical and machine learning methodologies on top of Meta's unparalleled data infrastructure. 2. Apply ... Science is interdisciplinary, with expertise in computer science, statistics, machine learning , economics, political science, operations research, marketing… more
- SAP (Palo Alto, CA)
- …the way we work and develop products. They are reshaping the landscape of Machine Learning across various domains. SAP AI Product Engineering is responsible for ... solve complex problems using LLMs Knowledge Graphs with In-context learning and finetuning. + Strong Experience with data...advancements in the field of LLMs, Foundational Models, and Machine Learning , and apply the expertise to… more
- Meta (Menlo Park, CA)
- …supervisor, code deliverables in tandem with the engineering team. 8. Adapt standard machine learning methods to best exploit modern parallel environments (eg 9. ... course, one research project, or one internship involving the following: 12. 1. Machine Learning Framework(s): PyTorch, MXNet, or Tensorflow 13. 2. Machine… more
- Meta (Burlingame, CA)
- …leverage orders of magnitude and more data , and explore state-of-the-art deep learning techniques. 6. Adapt standard machine learning methods to best ... develop highly scalable systems, algorithms and tools leveraging deep learning , data regression, and rules based models....areas of computer science in production systems 17. 9. Machine Learning Frameworks: PyTorch, MXNet, or Tensorflow… more
- Meta (Menlo Park, CA)
- …supervisor, code deliverables in tandem with the engineering team. 8. Adapt standard machine learning methods to best exploit modern parallel environments (eg ... research project or internship must include experience in the following: 11. Machine Learning Framework(s): PyTorch, MXNet, or Tensorflow 12. Machine… more
- Meta (Burlingame, CA)
- …robotic control, manipulation, navigation, or generally embodied AI 9. Experience with machine learning models, and frameworks such as PyTorch, TensorFlow, etc ... data from varying sources 15. Experience building systems based on machine learning and/or deep learning methods 16. Experience working… more
- Meta (Burlingame, CA)
- …robotic control, manipulation, navigation, or generally embodied AI 9. Experience with machine learning models, and frameworks such as PyTorch, TensorFlow, etc ... with robot simulations and real-world hardware. 17. Experience building systems based on machine learning and/or deep learning methods. 18. Experience with… more