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HomeCompaniesHophrAI/ML Engineer

AI/ML Engineer

Hophr · San Francisco, CA · Hybrid · Active · Lever

Job facts

FieldValue
CompanyHophr
TitleAI/ML Engineer
Normalized title-
Department / teamEngineering / Artificial Intelligence
LocationSan Francisco, CA, United States
Work modelHybrid / Hybrid
Employment typeFull Time
Salary-
Statusactive
ATS providerLever
Posted / first seen2026-04-22 / 2026-05-29
Changed / last seen2026-05-29 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Hophr.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 San Francisco.Open
Department jobsActive postings in Engineering.Open
Work model jobsActive Hybrid 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

CompanyHophr
Source98e82113-48f8-4a8a-9ad8-b70e3d5a2efe
ATS providerLever

Description

Draup is a Series A-funded agentic AI company building the intelligence layer for how global enterprises make workforce and go-to-market decisions. We work with 250+ enterprise clients — including 5 of the Fortune 10 — processing 1B+ job descriptions, 850M+ professional profiles, and signals from 100+ labor databases. We are now building our Silicon Valley engineering team — a small, senior group focused on next-generation AI research and product. Location: San Francisco, SoMa — minimum 4 days per week in-office. What you'll do • Build and maintain production-grade LLM pipelines and agentic workflows. • Design and optimize RAG architectures using vector databases (Pinecone, FAISS, Weaviate) at scale. • Implement agentic systems using LangGraph, LlamaIndex, or equivalent: tool use, multi-agent coordination, and reasoning loops. • Own prompt engineering, model versioning, evaluation (RAGAS, DeepEval), and LLMOps instrumentation. • Integrate AI features into large-scale data pipelines; maintain observability and guardrails in production. What we require • BS/MS in Computer Science, Machine Learning, or related field. • 3–5 years of AI/ML engineering; minimum 2 years building LLM-powered systems shipped to production. • Strong Python; PyTorch or Hugging Face Transformers; AWS or GCP; Docker/Kubernetes. • Portfolio of shipped AI work required — agentic pipelines, RAG systems, or fine-tuned models. • No visa sponsorship. Must be authorized to work in the US without current or future employer sponsorship.

Full job record

Job ID5ee7c43fb9d544f6ab37dce1ce39c044be874b9b
Org IDc02383ec-f1aa-4454-a175-b91896851020
Source ID98e82113-48f8-4a8a-9ad8-b70e3d5a2efe
Board ID98e82113-48f8-4a8a-9ad8-b70e3d5a2efe
Providerlever
Provider Job Key9e92ee57-64d5-493d-8f7d-42ac429ca826
TitleAI/ML Engineer
Normalized Title
Statusactive
Activeyes
Location TextSan Francisco, CA
DepartmentEngineering
TeamArtificial Intelligence
Employment TypeFull- Time
Workplace Typehybrid
Remote Policyhybrid
CountryUnited States
RegionCA
CitySan Francisco
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://jobs.lever.co/hophr/9e92ee57-64d5-493d-8f7d-42ac429ca826
Apply URLhttps://jobs.lever.co/hophr/9e92ee57-64d5-493d-8f7d-42ac429ca826/apply
First Seen At2026-05-29 07:01:27Z
Last Seen At2026-06-06 07:56:33Z
Last Checked At2026-06-06 07:56:33Z
Last Changed At2026-05-29 07:01:27Z
Inactive At
Source Posted At2026-04-22 18:34:10Z
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=lever/board=hophr/date=2026-06-06/2026-06-06T07-56-33-106Z-66b290b87268f1a7a1f2329dae781d4b69aa44b815e3d81199621aa8f910c716.json
Event Fields
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  "source_hash": "8f1974f0812b28d7afd013bae12f1403ffa496824b53e702924e427462b0a398",
  "last_changed_at": "2026-05-29T07:01:27.018Z",
  "active_status": "active"
}
Parsed Structured
{
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  "location": {
    "raw": "San Francisco, CA",
    "city": "San Francisco",
    "region": "CA",
    "country": "United States",
    "is_remote": false,
    "confidence": 0.9
  },
  "salary_max": null,
  "salary_min": null,
  "inferred_at": "2026-06-06T07:56:33.459Z",
  "launch_scope": {
    "reason": "english_us_canada",
    "included": true,
    "language": "en",
    "location": {
      "raw": "San Francisco, CA",
      "city": "San Francisco",
      "region": "CA",
      "country": "United States",
      "is_remote": false,
      "confidence": 0.9
    },
    "countries": [
      "United States"
    ]
  },
  "remote_policy": "hybrid",
  "salary_period": null,
  "workplace_type": "hybrid",
  "salary_currency": null
}
Extensions
{}
Native Structured
{
  "lists": [],
  "country": "US",
  "createdAt": 1776882850139,
  "updatedAt": null,
  "categories": {
    "team": "Artificial Intelligence",
    "location": "San Francisco, CA",
    "commitment": "Full- Time",
    "department": "Engineering",
    "allLocations": [
      "San Francisco, CA"
    ]
  },
  "salaryRange": null,
  "workplaceType": "hybrid"
}
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