- Microsoft Corporation (Redmond, WA)
- …eg with RAG (Retrieval augmented generation). + 2+ years of experience with Azure Machine Learning (AML) pipelines + A record of publications in scientific ... skills and comfortable defining a path towards high-level goals. You will analyze data , evaluate new ideas, ship production code and models, and generalize learnings… more
- Acuity Inc. (Atlanta, GA)
- …+ Work with HR, IT, and Finance teams on system projects, implementations, and data alignment + Continuous learning mindset to stay updated with HRIS trends ... preferrable in SuccessFactors. + Experience supporting HR operations including data audits, compliance reporting, and process optimization. + Experience… more
- Airtable (Austin, TX)
- …with AI contracting, including the distinctions between generative AI and traditional machine learning , and how these distinctions impact software agreements. + ... Building and maintaining Airtable's contracts repository; and + Developing data -driven insights regarding the company's vendor contracting operations. + Collaborate… more
- CSL Behring (King Of Prussia, PA)
- …AI and automation strategy across R&D. This role integrates advanced analytics, machine learning , intelligent automation, and digital agents to drive scientific ... guilds, and workshops. *Ensure integration of automation and agentic solutions with data platforms and existing workflows. *Track KPIs such as efficiency gains,… more
- General Motors (Austin, TX)
- …**Do:** + Design, develop and test cutting-edge AI infrastructure, optimizing machine learning and AI-driven applications across GM's global platforms. ... + Collaborate with cross-functional teams ( data scientists, software engineers, product teams) to bring AI...real-world environments. + Design and implement integrations with diverse data sources and SaaS platforms using APIs, while orchestrating… more
- Cordis (Miami Lakes, FL)
- …de‑risk transfers into internal plants or qualified contract manufacturers. Using data ‑driven tools (eg, DOE, capability analyses, SPC), they design robust processes ... effectiveness before launch. + Implement MSA (gage R&R) and SPC; define data collection and dashboards; monitor early production performance and execute handoff to… more
- General Motors (Warren, MI)
- …is impacted. With VHM technology, we integrate fundamental physics modeling with modern machine learning techniques such as Large Language Model, to develop ... beings. In the context of vehicle manufacturing, the vehicle engineering data collected through wireless communication (with customer consensus) allow the prediction… more
- NVIDIA (Santa Clara, CA)
- … learning ignited modern AI - the next era of computing. NVIDIA is a " learning machine " that constantly evolves by adapting to new opportunities that are hard ... product binning methods, optimization techniques, methods, trade-off analysis and tools for data analysis and statistics. + Exposure to critical path analysis, power… more
- NVIDIA (Santa Clara, CA)
- …autoregressive decoding, and model context windows. + 10+ years of experience in Machine Learning , NLP, Human-Computer Interaction, or related fields. + BS, MS, ... engineering team is pushing the boundaries of what's possible across multimodal learning , video generation, synthetic data , intelligent simulation, and agentic… more
- NVIDIA (Santa Clara, CA)
- … learning ignited modern AI - the next era of computing. NVIDIA is a " learning machine " that constantly evolves by adapting to new challenges that are hard to ... various products and market segments, including high-demand environments such as data centers. Drive scalable, power-efficient, and reliable memory system solutions… more