Staff Machine Learning Engineer - Policy & Safety

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  "last_changed_at": "2026-05-29T07:00:52.396Z",
  "active_status": "active"
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  "language": "en",
  "location": {
    "raw": "New York, NY",
    "city": "New York",
    "region": "NY",
    "country": "United States",
    "is_remote": false,
    "confidence": 0.9
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  "inferred_at": "2026-06-06T07:56:15.817Z",
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      "city": "New York",
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      "country": "United States",
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      "United States"
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  "remote_policy": "hybrid",
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{
  "lists": [
    {
      "text": "What You Will Do",
      "content": "<div>\n\n<li data-section-id=\"1u4sv11\" data-start=\"1552\" data-end=\"1677\">Build and scale machine learning systems for proactive content detection, classification, and pre-publish safety scanning</li>\n<li data-section-id=\"3ec9bd\" data-start=\"1678\" data-end=\"1826\">Design and implement policy evaluation frameworks, including standardized datasets, offline and online metrics, and continuous improvement loops</li>\n<li data-section-id=\"knbtuo\" data-start=\"1827\" data-end=\"1941\">Develop multimodal models that combine text, audio, image, and video signals for safety and policy enforcement</li>\n<li data-section-id=\"1fkjwn9\" data-start=\"1942\" data-end=\"2064\">Architect feedback loops that turn human reviewer input into structured training data for continuous model improvement</li>\n<li data-section-id=\"737cdl\" data-start=\"2065\" data-end=\"2193\">Translate regulatory requirements (e.g., precision/recall obligations, compliance reporting) into scalable ML system designs</li>\n<li data-section-id=\"1e9voj6\" data-start=\"2194\" data-end=\"2324\">Partner with cross-functional teams across Trust &amp; Safety, Legal, Public Affairs, and Product to deliver safe user experiences</li>\n<li data-section-id=\"1bu9j0t\" data-start=\"2325\" data-end=\"2432\">Drive technical direction in ambiguous problem spaces and contribute to long-term platform architecture</li>\n<li data-section-id=\"1mi2qim\" data-start=\"2433\" data-end=\"2527\">Mentor and support other machine learning engineers, helping raise the bar across the team</li>\n\n</div>"
    },
    {
      "text": "Who You Are",
      "content": "<div>\n\n<li data-section-id=\"ym9jwx\" data-start=\"2543\" data-end=\"2639\">You have experience building and shipping production-grade machine learning systems at scale</li>\n<li data-section-id=\"82p6ep\" data-start=\"2640\" data-end=\"2755\">You have strong expertise in ML evaluation, including dataset design, metrics, and model performance monitoring</li>\n<li data-section-id=\"yppqc6\" data-start=\"2756\" data-end=\"2860\">You have worked with multimodal machine learning systems across text, audio, image, or video domains</li>\n<li data-section-id=\"eznfvr\" data-start=\"2861\" data-end=\"2970\">You are experienced with human-in-the-loop systems, active learning, or feedback-driven model improvement</li>\n<li data-section-id=\"1oph2gl\" data-start=\"2971\" data-end=\"3096\">You are comfortable translating complex requirements into technical solutions, including regulatory or policy constraints</li>\n<li data-section-id=\"1h8hbkb\" data-start=\"3097\" data-end=\"3200\">You have experience working across teams and influencing technical direction in large-scale systems</li>\n<li data-section-id=\"ic3hpm\" data-start=\"3201\" data-end=\"3315\">You are comfortable navigating ambiguity and making thoughtful decisions that balance speed, quality, and risk</li>\n<li data-section-id=\"1hpeh7m\" data-start=\"3316\" data-end=\"3422\">You communicate clearly and collaborate effectively with both technical and non-technical stakeholders</li>\n\n</div>"
    },
    {
      "text": "Where You Will Be",
      "content": "<div>\n\n<li data-section-id=\"1spg5jy\" data-start=\"3444\" data-end=\"3482\">This role is based in New York, NY</li>\n<li data-section-id=\"vxuqay\" data-start=\"3483\" data-end=\"3635\">We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.</li>\n\n</div>"
    }
  ],
  "country": "US",
  "createdAt": 1778070463931,
  "updatedAt": null,
  "categories": {
    "team": "Experience",
    "location": "New York, NY",
    "commitment": "Permanent",
    "department": "Engineering",
    "allLocations": [
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  "workplaceType": "hybrid"
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