- Google (Sunnyvale, CA)
- …and architecture. + 5 years of experience with ML design and ML infrastructure (eg, model deployment, model evaluation, data processing, debugging, fine ... workloads across platform types, and optimizing workload performance and fleet utilization. The ML , Systems, & Cloud AI (MSCA) organization at Google designs,… more
- UCLA Health (Los Angeles, CA)
- …through artificial intelligence. This role drives the development and validation of AI / ML models that empower data -driven decision-making across clinical, ... You'll Do + Design, test, and validate AI / ML models using structured and unstructured healthcare data...What You Bring + Expertise in machine learning, software engineering , and data science + Understanding of… more
- Microsoft Corporation (Mountain View, CA)
- …production ML /NLP pipelines and products, quantifiable product impact + Publications in ML / AI conferences (eg, CVPR, NeurIPS, ICML) is a plus + Experience ... The Healthcare AI Frontiers group is dedicated to accelerating the...+ Collaborate closely with software developers, designers, product managers, ML /NLP research communities, and healthcare organizations + Communicate and… more
- NVIDIA (Santa Clara, CA)
- …+ 15+ overall years of program management experience leading large-scale software, AI / ML and infrastructure programs in fast-paced, matrixed environments. This ... managing a team. + Hands-on experience driving programs that support AI / ML platform development, including workload orchestration, platform reliability,… more
- Autodesk (San Francisco, CA)
- …most critical "design and make" problems. The position increasingly emphasizes AI -driven experiences and data -informed design. Hybrid/remote candidates in San ... Conduct audits and usability testing with diverse user groups. ** AI and ML integration** + Leverage ...experience within a related field. + Experience with prompt engineering and generative AI tools. + Familiarity… more
- Meta (Menlo Park, CA)
- …will work with Infra, Foundation and ML Ranking teams of talented ML engineers, product managers, data scientists, and other cross-functional team members to ... Manager, Ranking and Recommendations Responsibilities: 1. Develop and manage end-to-end technical AI / ML product solutions and ensure on-time delivery 2. Manage… more
- Coinbase (Sacramento, CA)
- …to increase their productivity, drive automation, and deliver impact at scale through AI / ML -based technologies. *What you'll be doing* * Build complete user ... cloud technologies * Lead assessment and implementation of third-party AI / ML tools. * Deliver cross-functional outcomes to...to complex problems in collaboration with product, design, security, data or other engineering teams * Demonstrate… more
- Microsoft Corporation (Sunnyvale, CA)
- …extensive GPU resources, and significant efforts to curate and synthesize training data . In addition, the team employs various fine-tuning approaches to support both ... research and product development. The team also develops advanced AI technologies that integrate language and multi-modality for a...Code, such as code completion model and the software engineering (SWE) agent models. The team has also produced… more
- JPMorgan Chase (Palo Alto, CA)
- …Office), we drive our firm's strategic investments in AI / ML and data -oriented tools and capabilities. Our Platform Engineering team is at the forefront ... + Design and develop scalable AIOps solutions to support AI / ML and Data Platforms +...or a related field. + Proven experience in platform engineering , with a focus on AI / ML… more
- Celonis (Redwood City, CA)
- …team. + **Technical Acumen:** Ability to understand complex technical concepts related to AI / ML , data modeling, and system architecture to effectively ... is a massive opportunity to unlock productivity by placing data and intelligence at the core of business processes...Product Managers, all focused on leveraging the latest in AI / ML techniques to solve mission-critical business problems… more