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HomeCompaniesPlus 2Computer Vision Engineer Intern

Computer Vision Engineer Intern

Plus 2 · Santa Clara, CA · On Site · Active · $19–$65 / hour · Lever

Job facts

FieldValue
CompanyPlus 2
TitleComputer Vision Engineer Intern
Normalized title-
Department / teamUS Internships / Perception
LocationSanta Clara, CA, United States
Work modelOn Site
Employment typeIntern
Salary$19–$65 / hour
Statusactive
ATS providerLever
Posted / first seen2026-05-22 / 2026-05-29
Changed / last seen2026-05-29 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Plus 2.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Lever.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Santa Clara.Open
Department jobsActive postings in US Internships.Open
Work model jobsActive On Site postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyPlus 2
Source94fb28bd-eddc-40df-9d19-0ed71e5a973b
ATS providerLever

Description

PlusAI is a Physical AI company pioneering AI-based virtual driver software for factory-built autonomous trucks. Headquartered in Silicon Valley with operations in the United States and Europe, Plus was named by Fast Company as one of the World’s Most Innovative Companies. Partners including TRATON GROUP’s Scania, MAN, and International brands, Hyundai Motor Company, Iveco Group, Bosch, and DSV are working with Plus to accelerate the deployment of next-generation autonomous trucks. If you’re ready to make a huge impact and drive the future of autonomy, Plus is looking for talented individuals to join its fast-growing teams. Your opportunities joining PlusAI Work, learn and grow in a highly future-oriented, innovative and dynamic field. Wide range of opportunities for personal and professional development. Catered free lunch, unlimited snacks and beverages. Highly competitive salary and benefits package, including 401(k) plan. Responsibilities: Work on generating 3D/4D scene reconstructions to simulate driving scenes while generating realistic sensor data including multiple view camera and lidar Required Skills: Pursuing MS or PhD in CS, EE, mathematics, statistics or related field Deep understanding of machine learning principles and methodologies Experience with implementing deep learning models in at least one deep learning framework (PyTorch, Tensorflow, Jax) Preferred Skills: Past experiences in deep learning projects involving object detection, motion tracking or semantic segmentation Experience with 3D Vision Publication record in relevant venues (CVPR, ICLR, ICCV, ECCV, NeurIPS, AAAI, SIGGRAPH)

Full job record

Job ID80f2929dec7c9fa40c64828fd72c70b8b7e50db1
Org IDdc239754-39c5-4206-bef0-5ecf8b881a2f
Source ID94fb28bd-eddc-40df-9d19-0ed71e5a973b
Board ID94fb28bd-eddc-40df-9d19-0ed71e5a973b
Providerlever
Provider Job Keyc143df6e-66c2-4498-b19b-8323f9954ca9
TitleComputer Vision Engineer Intern
Normalized Title
Statusactive
Activeyes
Location TextSanta Clara, CA
DepartmentUS Internships
TeamPerception
Employment TypeIntern
Workplace Typeon_site
Remote Policy
CountryUnited States
RegionCA
CitySanta Clara
Salary RawUSD 19-65 per-hour-wage
Salary Min19
Salary Max65
Salary CurrencyUSD
Salary Periodhour
Source URLhttps://jobs.lever.co/plus-2/c143df6e-66c2-4498-b19b-8323f9954ca9
Apply URLhttps://jobs.lever.co/plus-2/c143df6e-66c2-4498-b19b-8323f9954ca9/apply
First Seen At2026-05-29 06:58:18Z
Last Seen At2026-06-06 07:56:17Z
Last Checked At2026-06-06 07:56:17Z
Last Changed At2026-05-29 06:58:18Z
Inactive At
Source Posted At2026-05-22 23:38:43Z
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=lever/board=plus-2/date=2026-06-06/2026-06-06T07-56-16-851Z-c4bdb7ed5c0562a2423bc139989d32fb82dd58c6225e665375e8820bad53720f.json
Event Fields
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  "last_changed_at": "2026-05-29T06:58:18.050Z",
  "active_status": "active"
}
Parsed Structured
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  "location": {
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  "salary_min": 19,
  "inferred_at": "2026-06-06T07:56:17.725Z",
  "launch_scope": {
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    "included": true,
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    "countries": [
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  },
  "remote_policy": null,
  "salary_period": "hour",
  "workplace_type": "on_site",
  "salary_currency": "USD"
}
Extensions
{}
Native Structured
{
  "lists": [
    {
      "text": "Responsibilities:",
      "content": "\n<li><span data-sheets-root=\"1\">Work on generating 3D/4D scene reconstructions to simulate driving scenes while generating realistic sensor data including multiple view camera and lidar</span></li>\n"
    },
    {
      "text": "Required Skills:",
      "content": "\n<li><span data-sheets-root=\"1\"><span data-sheets-root=\"1\">Pursuing MS or PhD in CS, EE, mathematics, statistics or related field</span></span></li>\n<li><span data-sheets-root=\"1\"><span data-sheets-root=\"1\">Deep understanding of machine learning principles and methodologies</span></span></li>\n<li><span data-sheets-root=\"1\"><span data-sheets-root=\"1\">Experience with implementing deep learning models in at least one deep learning framework (PyTorch, Tensorflow, Jax)</span><br><br><br></span></li>\n"
    },
    {
      "text": "Preferred Skills:",
      "content": "\n<li><span data-sheets-root=\"1\">Past experiences in deep learning projects involving object detection, motion tracking or semantic segmentation</span></li>\n<li><span data-sheets-root=\"1\">Experience with 3D Vision</span></li>\n<li><span data-sheets-root=\"1\">Publication record in relevant venues (CVPR, ICLR, ICCV, ECCV, NeurIPS, AAAI, SIGGRAPH)</span></li>\n"
    }
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  "country": "US",
  "createdAt": 1779493123279,
  "updatedAt": null,
  "categories": {
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    "commitment": "Intern",
    "department": "US Internships",
    "allLocations": [
      "Santa Clara, CA"
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  },
  "salaryRange": {
    "max": 65,
    "min": 19,
    "currency": "USD",
    "interval": "per-hour-wage"
  },
  "workplaceType": "onsite"
}
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GET https://api.bluedoor.sh/job-postings/v1/orgs/dc239754-39c5-4206-bef0-5ecf8b881a2fJSON
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