- Intuit (Mountain View, CA)
- …you will be building and deploying machine learning models using both analytical algorithms and deep learning approaches. **What you'll bring** + 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,… more
- Amazon (Sunnyvale, CA)
- …technical approach for the design and implementation of successful models and algorithms in support of expert cross-functional teams delivering on demanding projects ... - Conduct deep data analysis to derive insights to the business, and identify gaps and new opportunities - Run regular A/B experiments, gather data, and perform statistical analysis - Work closely with software engineers to deliver end-to-end solutions into… more
- Stanford University (Stanford, CA)
- …This ambitious initiative promises to offer unprecedented insights into the brain's algorithms of perception and cognition while serving as a key resource for ... aligning artificial intelligence models with human-like neural representations. As part of this project, we are seeking talented software developers/engineers to support the whole team by developing and scaling the systems that allow our scientists to iterate… more
- Stanford University (Stanford, CA)
- …manuscript preparation + Design and implement state-of-the-art machine learning models, algorithms , and statistical models, while leading the collection of new data ... and the refinement of existing data sources. + Have the opportunity toreceive co-authorship on research papers **Qualifications:** + A Bachelor's or Master's degree in a relevant quantitative field (eg, computer science, data science, statistics, engineering,… more
- Stanford University (Stanford, CA)
- …multivariate relationships in data. + Create databases and reports, develop algorithms and statistical models, and perform statistical analyses appropriate to data ... and reporting requirements. + Use system reports and analyses to identify potentially problematic data, make corrections, and determine root cause for data problems from input errors or inadequate field edits, and suggest possible solutions. + Develop reports,… more
- Stanford University (Stanford, CA)
- …scientific applications. + Partner with research teams to design novel algorithms and develop high-quality, reusable software to accelerate complex research ... projects. **Research Support and Software Infrastructure** + Assist PIs in applying for supercomputing resources at national centers once projects are scaled and workloads are appropriate. Offer guidance on maximizing efficiency of large-scale computational… more
- Stanford University (Stanford, CA)
- …the brain. This ambitious initiative promises to offer unprecedented insights into the algorithms of the brain while serving as a key resource for aligning ... artificial intelligence models with human-like neural representations. As part of this project, we seek talented individuals specializing in mechanistic interpretability to develop and deploy scalable pipelines for analyzing and interpreting these models,… more
- City National Bank (Los Angeles, CA)
- …SQL, Python coding * Proficient experience in machine learning techniques and algorithms * Proficient experience with common data science toolkits and visualization ... tools * Proficient statistics skills, such as distributions, statistical testing, regression, etc. * Proficient initiative, organization and time management skills * Proficient analytical and problem solving skills * Proficient verbal and written communication… more
- Stanford University (Stanford, CA)
- …SKILLS AND ABILITIES (REQUIRED):** * Knowledge of key data structures algorithms , and techniques pertinent to systems that support high volume, velocity, ... or variety datasets (including data mining, machine learning, NLP, data retrieval). * Experience with relational, NoSQL, or NewSQL database systems and data modeling, structured and unstructured. * Experience in parallel and distributed data processing… more
- Stanford University (Stanford, CA)
- …in data, and for protein design. + Create databases and reports, develop algorithms and statistical models, and perform statistical analyses appropriate to data and ... reporting requirements. + Use system reports and analyses to identify potentially problematic data, make corrections, and determine root cause for data problems from input errors or inadequate field edits, and suggest possible solutions. + Develop reports,… more
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