| Name | Title | Contact Details |
|---|---|---|
Rachel Ohlsson |
Director of Talent Acquisition | Profile |
Anblicks is a Data and AI Company based out of Dallas, TX, with offices in USA, India, and Australia. Since 2004, Anblicks has been helping customers by bringing value to their data and implementing modern data architecture and advanced analytics solutions in the cloud.
AU_PC Informatique is a Montral, QC-based company in the Computers & Electronics sector.
1 IT Source is a Clive, IA-based company in the Computers and Electronics sector.
Spectrum Virtual, headquartered in Wallingford, CT is a leading regional provider of Managed IT Infrastructure and Cloud Computing, serving the SMB Market in Connecticut, Massachusetts, New York, Rhode Island and Greater Chicago from its data centers in CT, the NY Metro and Chicago. With its powerful hosting infrastructure and partnerships with industry-leading vendors, Spectrum Virtual works with clients to help develop their IT into an asset, not merely an expense.
Lattice is a data intelligence company transforming “Dark Data”, such as unstructured text, into high quality structured data for use by traditional data analysis tools. Lattice was founded by Chris Re (Stanford, MacArthur Genius Award winner) and Mike Cafarella (co-creator of Hadoop). Lattice is commercializing DeepDive, which was developed at Stanford by our founder Chris Re for over 6 years with $20M in funding from DARPA and others. Our product has already been successfully deployed in the fight against human trafficking (as featured on CBS News 60 Minutes) as part of the DARPA/Memex project. Our platform reads unstructured media and converts it into structured data that can be used by traditional data analysis tools. We use advanced machine learning techniques, coupled with a rigorous engineering approach, to outperform human readers in many fields including scientific, insurance and government applications. We’re hiring! Please check out our engineering jobs at https://jobs.lever.co/lattice to learn more. We are looking for people excited to learn more about machine learning, be part of the initial team in a startup environment and wanting to work hard to solve really interesting and important real world problems.