- Johns Hopkins University (Baltimore, MD)
- The Johns Hopkins University's Department of Applied Mathematics and Statistics invites applicants for one or more positions as Postdoctoral Fellow. Candidates ... Giannone. Professor Giannone's research lies at the intersection of economics, applied statistics , and data science, with a focus on advancing empirical and… more
- S&P Global (New York, NY)
- …projects, keen to learn, proactive, real team player. **Additional Qualifications:** + PhD (Physics, Statistics , Mathematics , Engineering) + CFA, FRM ... degree from reputable university in Financial Modelling, Finance, Economics, Statistics , Physics + Good technical writing skills (English), for supporting… more
- Meta (Menlo Park, CA)
- …Qualifications:** Preferred Qualifications: 13. Master's or Ph.D. degree in Mathematics , Statistics , Computer Science, Engineering, Economics, or another ... quantitative field. 14. Experience working in technology, consulting, or finance. 15. Proven track record of leading high-performing analytics teams. **Public Compensation:** $177,000/year to $247,000/year + bonus + equity + benefits **Industry:** Internet… more
- Oracle (Richmond, VA)
- …advancements in computer vision and multimodal modeling is a plus. **Education** + PhD Computer Science, Mathematics , Statistics , Physics, Linguistics or a ... related field with a dissertation, thesis or final project centered in Machine Learning and Deep Learning) with 1+ years relevant experience is preferred but not a must; OR + Masters or Bachelor's in related field with 3+ years relevant experience Disclaimer:… more
- Oracle (Annapolis, MD)
- …industry trends and advancements in code generation. **Qualifications and Experience:** + PhD Computer Science, Mathematics , Statistics , Physics, Linguistics ... or a related field with a dissertation, thesis or final project centered in Machine Learning and Deep Learning) with 5+ years relevant experience is preferred but not a must; OR Masters or Bachelor's in related field with 8+ years relevant experience + Strong… more
- Oracle (Dover, DE)
- …trends and advancements in video generation. **Qualifications and Experience:** + PhD Computer Science, Mathematics , Statistics , Physics, Linguistics ... or a related field with a dissertation, thesis or final project centered in Machine Learning and Deep Learning) with 4+ years relevant experience is preferred but not a must; OR Masters or Bachelor's in related field with 8+ years relevant experience + Strong… more
- Oracle (Annapolis, MD)
- …frontiers of video synthesis, style transfer, and video editing. **Qualifications:** + PhD Computer Science, Mathematics , Statistics , Physics, Linguistics or ... a related field with a dissertation, thesis or final project centered in Machine Learning and Deep Learning) with 4+ years relevant experience is preferred but not a must; OR Masters or Bachelor's in related field with 8+ years relevant experience + Strong… more
- Oracle (Columbus, OH)
- …trends and advancements in the above fields. **Qualifications & Experience** : + PhD Computer Science, Mathematics , Statistics , Physics, Linguistics, or a ... related field + with a dissertation, thesis or final project centered on Machine Learning or Deep + Learning with 8+ years relevant experience is preferred; Alternatively, Master's degree in + any of the above fields, with 12+ years relevant experience. +… more
- Oracle (Harrisburg, PA)
- …of industry trends and advancements in Agentic AInew. **Qualifications and Experience:** PhD Computer Science, Mathematics , Statistics , Physics, Linguistics ... or a related field with a dissertation, thesis or final project centered in Machine Learning and Deep Learning) with 5+ years relevant experience is preferred but not a must; OR Masters or Bachelor's in related field with 8+ years relevant experience Strong… more
- Intuit (Oakland, CA)
- …+ 4+ years of industry experience with AI science + BS, MS or PhD in Statistics , Mathematics , Computer Science, Economics, Operations Research, or ... equivalent + 4+ years of hands-on expertise in ML paradigms such as Causal-ML, supervised/unsupervised, Online, Bayesian, Reinforcement or Deep Learning. + Proficient in multiple optimization paradigms such as combinatorial optimization, gradient methods, or… more