369 Compensation Analyst jobs in Abingdon, MD
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Claims Adjuster – Bodily Injury

Progressive

Baltimore, MD

$61,400-$72,200/yr
Hybrid~ 39 minUrgently HiringEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • Associate's degree and three years relevant work experience with one year in claims handling
  • Four years of relevant work experience with one year in claims handling
  • Bachelor's degree and one year in claims handling
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Senior Manufacturing Engineer

Smiths Group

Edgewood, MD

$80,280-$187,320/yr

Bachelor's Degree

Within 15 miles of Edgewood, MD

~ 10 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

  • Bachelor's Degree in Industrial or Manufacturing Engineering (or equivalent field)
  • 7+ years of experience; direct manufacturing experience
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Wealth Management Client Associate

Bank of America

Hunt Valley, MD

~ 38 min Onsite

  • High School Diploma / GED / Secondary School or equivalent
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Applied Research II

Capital One

Baltimore, MD

Visa Sponsorship Available

~ 39 min OnsiteHealth Insurance

  • Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research
  • An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes
  • Experience in delivering libraries, platform level code or solution level code to existing products
  • Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects
  • Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF
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