- Capital One (San Francisco, CA)
- …(Microsoft), or AutoGen) + 2+ years of experience with LLMOps (Google Cloud Vertex AI , Amazon SageMaker, Azure Machine Learning) + 8+ years of experience ... Distinguished AI Engineer (Generative AI , Agentic Frameworks)...Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our… more
- Amazon (Cupertino, CA)
- …You will be part of the AWS Neuron Product Management team, driving innovation in machine learning acceleration software . AWS Neuron is the software stack ... industry events About the team AWS Neuron is the software of Trainium and Inferentia, the AWS Machine...and/or Pallas kernel technologies - Track record of driving developer libraries - Experience with Machine Learning… more
- Google (Sunnyvale, CA)
- …AI (MSCA) organization at Google designs, implements, and manages the hardware, software , machine learning, and systems infrastructure for all Google services ... while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud's Vertex AI , the leading … more
- MongoDB (San Francisco, CA)
- …applications by helping them modernize legacy workloads, embrace innovation, and unleash AI . Our industry-leading developer data platform, MongoDB Atlas, is the ... transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes...+ Hold an advanced degree (MSc or PhD) in AI , Data Science, Machine Learning, or related… more
- Google (Sunnyvale, CA)
- …AI (MSCA) organization at Google designs, implements, and manages the hardware, software , machine learning, and systems infrastructure for all Google services ... while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud's Vertex AI , the leading … more
- Palo Alto Networks (Santa Clara, CA)
- …inference systems + System Optimization: Design and optimize large-scale AI /ML systems for performance, reliability, and developer -friendliness, focusing ... and LLMs **Your Experience** + 8+ years in software engineering, with 4+ years in AI /ML...performance Preferred Qualifications + Master's degree in Computer Science, Machine Learning, or a related technical field or equivalent… more
- Palo Alto Networks (Santa Clara, CA)
- …Contribute significantly to the detailed design of large-scale, distributed AI /ML systems, ensuring performance, reliability, security, and developer ... all win with precision. **Your Career** As a Principal AI Engineer for the Enterprise AI Platform,...detection **Your Experience** + 10+ years of experience in software engineering, distributed systems, or enterprise architecture, including at… more
- Google (Mountain View, CA)
- …recently, there has been a surge in the number of zero-day exploits found by AI in well-tested software . However, fixing or hardening code often lags behind by ... At Google DeepMind, we're a team of scientists, engineers, machine learning experts and more, working together to advance...actors. The goal of our project is to leverage AI for the defense: (1) automatically fix discovered vulnerabilities… more
- Google (San Francisco, CA)
- …Data Scientists and Machine Learning Engineers, to develop and deploy custom AI /ML applications. + Define and validate solutions with a focus on technical and ... role in the enterprise technology space. + Experience working with managed AI platforms. + Experience with ML lifecycle concepts, including model training,… more
- NVIDIA (Santa Clara, CA)
- … and hardware technologies. + Build and deploy solutions at scale using NVIDIA's AI software on cloud-based GPU platforms. + Build custom PoCs for solutions ... a part of a team that brings Artificial Intelligence ( AI ) to some of the biggest customers in the...to assist customers with adoption of GPU hardware and software as well as building Machine Learning… more