- Google (Sunnyvale, CA)
- …to improve the performance, cost, and efficiency of Google's cloud infrastructure. The ML , Systems, & Cloud AI (MSCA) organization at Google designs, implements, and ... manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world. We… more
- Microsoft Corporation (Los Angeles, CA)
- …SQL DB, Cosmos DB, PostgreSQL on Azure, Azure Data Bricks, Azure Data Factory, AI/ ML + Azure PaaS Services: App Services, Azure Functions, Redis Cache, and Event ... Hub. + Monitoring technologies: Azure Monitor, Log Analytics, Grafana, Datadog, Confluent and similar technologies. + Communication skills: ability to empathize with customers and convey confidence. Able to explain highly technical issues to varied audiences.… more
- Amazon (Mountain View, CA)
- …or military experience - 5+ years of experience in the industry as a ML practitioner or executive - Experience participating in the sales lifecycle (directly or ... indirectly) - Experience in management consulting or related work - Experience launching technical programs, projects, or related work that include the following: big data, analytics, artificial intelligence, and machine learning Preferred Qualifications -… more
- Google (San Jose, CA)
- …software design and architecture. + 3 years of experience with ML infrastructure (eg, model deployment, model evaluation, optimization, data processing, debugging). ... + 3 years of experience with GenAI techniques (eg, LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision). **Preferred qualifications:** + Master's degree or PhD in computer science, mathematics, applied… more
- Google (Mountain View, CA)
- …you are discussing the technical tradeoffs in product development with engineers. The ML , Systems, & Cloud AI (MSCA) organization at Google designs, implements, and ... manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world. We… more
- Google (Mountain View, CA)
- …products from conception to launch. **Preferred qualifications:** + Experience in shipping AI/ ML -powered products or features. + Experience in owning a metric, and ... driving consistent and repeated wins in growing the metric. + Understanding of mobile app ecosystems, user psychology, and growth tactics. + Ability to own and deliver on a product goal and strategy for ambiguous problem spaces. + Ability to derive insights… more
- NVIDIA (Santa Clara, CA)
- …Ways to Stand Out from the Crowd: + Expertise in classical, non- ML computer vision + Strong fundamentals with system-level performance: multi-threaded, multi-process ... and distributed software development. + Grounding in mathematical fundamentals such as linear algebra, numerical methods, statistics, and exploratory data analysis. + History of creativity and innovation around performance in multiple problem domains. Your… more
- Microsoft Corporation (San Francisco, CA)
- …field + OR equivalent experience + 5+ years experience developing and deploying AI/ ML products or systems at multiple points in the product cycle from ideation ... to shipping **Other Requirements** + Ability to meet Microsoft, customer and/or government security screening requirements is required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft… more
- Abbott (Alameda, CA)
- …and best practices relevant to medical devices and SaMD. Experience with AI/ ML -enabled medical devices or digital health solutions. + Extensive knowledge of global ... regulatory requirements, including FDA regulations (eg, 21 CFR Part 820), ISO 13485, and EU MDR/IVDR. + Successful track record of preparing and submitting regulatory dossiers for medical devices, particularly SaMD, in various international markets. + Strong… more
- Lilly (San Diego, CA)
- …Write clean, high-quality, and reproducible code. Contribute to internal libraries and ML platforms. Implement version control for data, code, and models to ensure ... robust and transparent research. + **Cross-Functional Collaboration:** Work in a collaborative, multi-disciplinary team alongside software engineers, MLOps specialists, privacy experts, and domain scientists to translate research concepts into practical,… more