Deep Learning Research Intern

{
  "content_hash": "a12fffc0e70181b4c76e3a1dfc0bb0b1128e4465f5488a95f684050d338f80ca",
  "source_hash": "b19d440a552af516df6746a0a6fa268c052d7a02a9b6770e5bef4b1bc4303ece",
  "last_changed_at": "2026-05-29T06:58:18.050Z",
  "active_status": "active"
}

{
  "language": "en",
  "location": {
    "raw": "Santa Clara, CA",
    "city": "Santa Clara",
    "region": "CA",
    "country": "United States",
    "is_remote": false,
    "confidence": 0.9
  },
  "salary_max": 65,
  "salary_min": 19,
  "inferred_at": "2026-06-06T07:56:17.727Z",
  "launch_scope": {
    "reason": "english_us_canada",
    "included": true,
    "language": "en",
    "location": {
      "raw": "Santa Clara, CA",
      "city": "Santa Clara",
      "region": "CA",
      "country": "United States",
      "is_remote": false,
      "confidence": 0.9
    },
    "countries": [
      "United States"
    ]
  },
  "remote_policy": null,
  "salary_period": "hour",
  "workplace_type": "on_site",
  "salary_currency": "USD"
}

{}

{
  "lists": [
    {
      "text": "Responsibilities",
      "content": "\n<li><span data-sheets-root=\"1\">Work on Vision Language Action models in support of Plus's reasoning layer for on-board strategic decision making. Develop distillation technques for deployment on on-board compute.</span></li>\n"
    },
    {
      "text": "Required Skills:",
      "content": "\n<li>Pursuing MS or PhD in CS, EE, mathematics, statistics or related field</li>\n<li>Thorough understanding of state-of-the-art vision language/vision language action models, diffusion, flow matching and transformers.</li>\n<li>1-2 years experience with implementing and training models in at least one deep learning framework (PyTorch, Tensorflow, Jax)</li>\n"
    }
  ],
  "country": "US",
  "createdAt": 1779493395810,
  "updatedAt": null,
  "categories": {
    "team": "Perception",
    "location": "Santa Clara, CA",
    "commitment": "Intern",
    "department": "US Internships",
    "allLocations": [
      "Santa Clara, CA"
    ]
  },
  "salaryRange": {
    "max": 65,
    "min": 19,
    "currency": "USD",
    "interval": "per-hour-wage"
  },
  "workplaceType": "onsite"
}