468 Stocker jobs in Aylett, VA
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Delivery Driver (Non-CDL)

Candidate Source

Richmond, VA

~ 44 min Onsite

  • Able to pass a Department of Transportation physical exam initially and every two years thereafter
  • Delivery Driver (Non-CDL)
  • At least 21 years old with a valid driver's license and an acceptable driving record
  • Knowledge of driving laws and warehouse safety practices
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Entry-Level Auto Technician

CARVANA

Chesterfield, VA

Background Check

Driver License

~ 1 hr 1 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • Minimum of 6 months of professional automotive repair experience
  • Ability to physically operate vehicle equipment and tools - must be able to lift up to 60 pounds independently
  • Hiring is contingent on passing a complete background check
  • Must be able to read, write, speak and understand English
  • Must be at least 18 years of age and possess a valid driver's license
  • Entry-Level Auto Technician
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Bakery - Maintenance Tech

STAFFWORKS GROUP

Richmond, VA

$32/hr

Background Check

~ 44 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

  • Must pass a background check and drug test
  • Industrial Maintenance Technician
  • 2+ years industrial maintenance or mechanical repair
  • Comfortable lifting 75 lbs and working in variable temperatures
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New, Posted 13 hours ago
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Applied Researcher II

Capital One

Richmond, VA

Visa Sponsorship Available

~ 44 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
SmartExplore AI is experimental.
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