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Atlanta, Austin, Baltimore, Boston, Charlotte, Chicago, Cincinnati, Cleveland, Columbus, Dallas, Denver, Detroit, Fort Lauderdale, Houston, Indianapolis, Jacksonville, Kansas City, Los Angeles, Miami, Minneapolis, Nashville, New Jersey, New York, Philadelphia, Phoenix, Raleigh, Salt Lake City, San Antonio, San Diego, San Francisco, San Jose, Seattle, Silicon Valley, St Louis, Tampa, Washington DC Home»Head of Marketing.
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Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.
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Guidehouse is a Veritas Capital portfolio company, led by seasoned professionals with proven and diverse expertise in traditional and emerging technologies, markets, and agenda-setting issues driving national and global economies.
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With potential travel to partner organizations or trainer sites across strategic locations like Pearl Harbor, San Diego, Norfolk, and more, this role offers a dynamic blend of challenges and experiences.
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Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.
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More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow.
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San Francisco, California (Hybrid On-Site): $213,400 - $243,500 for Lead Software Engineer. Utilize programming languages like Java, Python, SQL, Node, Go, and Scala, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
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This position could work out of WSP’s offices in Arlington, VA; Bethlehem, PA; Boulder, CO; Buffalo, NY; Chicago, IL; New York, NY; Portland, OR; San Diego, CA; San Francisco, CA; or Seattle, WA. Other WSP office locations or remote options may be considered for an exceptional candidate.
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San Francisco, California (Hybrid On-Site): $174,900 - $199,700 for Senior Machine Learning Engineer. Sales Territory or Remote (Regardless of Location): $140,000 - $159,800 for Senior Machine Learning Engineer.
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The Senior Counsel, Litigation and Investigations will be responsible for managing the strategic defense of domestic and global claims and litigation and partnering closely with the Databricks Employee Relations team on complex and sensitive investigations.
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Work locations will primarily be in the Patuxent River, Maryland area with some work at distributed NAWCAD locations at Jacksonville, FL, Cherry Point, NC, and San Diego, CA. Our teams will provide enterprise-wide application, server, network, storage, cybersecurity and data environment engineering, operations, and hosting support services.
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After graduation, you will then attend 28 weeks of advanced individual training at Fort Sam Houston in San Antonio, Texas. The training and experience you gain while serving in this specialty, combined with your experience in leadership and problem solving, may help you transition from the military to the civilian employment sector as a physical therapy technician.
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Located on Coronado Island just minutes from Downtown San Diego, this 28-acre property was built in 1888 and has over 750 rooms (), 65,000 square feet of banquet space, and 10 food and beverage outlets.
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Headquartered in Eddystone, Pennsylvania, we have primary offices in Norfolk, Virginia; San Diego, California; and Bremerton, Washington, with liaison facilities in Philadelphia, Pennsylvania, and Pearl Harbor, HI.
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New York City (Hybrid On-Site): $165,100 - $188,500 for Senior Machine Learning Engineer. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure.
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