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Member of Technical Staff - Machine Learning

Asari.Ai · San Francisco Office · On Site · Active · Ashby

Job facts

FieldValue
CompanyAsari.Ai
TitleMember of Technical Staff - Machine Learning
Normalized title-
Department / teamCore / Core, Engineering
LocationSan Francisco, CA, United States
Work modelOn Site
Employment typeFull Time
Salary-
Statusactive
ATS providerAshby
Posted / first seen / 2026-05-29
Changed / last seen2026-05-29 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Asari.Ai.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Ashby.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in San Francisco.Open
Department jobsActive postings in Core.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

CompanyAsari.Ai
Source814e078b-d46c-4591-bd68-af6f2c9ecf55
ATS providerAshby

Description

Build AI to co-invent the future Our mission is to empower people to invent solutions for the world’s hardest problems, working together with scalable and reliable AI agents. For example, our agents can efficiently reason about and verify mission-critical code, including migrating space-grade software from C to Safe Rust . Our team has published award-winning AI research and is backed by top-tier investors including Eric Schmidt, Caltech, Jeff Dean, and JP Millon. We move fast, think from first principles, and build with purpose. We believe that great results come when people take ownership, grow together, and share both the challenges and the wins. What you'll do Design, train, and evaluate hybrid AI systems that perform well at scale and make optimal trade-offs. Build scalable data processing and machine learning systems Solve min-max problems: how can we do more with less? Accelerate our work by removing operational and tooling bottlenecks. What we look for You are energized by solving challenging real-world problems. You have a track record in a technical domain, e.g., machine learning, computer science, physics, math. You have strong programming (Python, C++) and math abilities. You have strong conceptual and structured thinking. You have clear verbal and written communication skills You are willing and able to learn quickly. You have team spirit. You can independently structure, plan, prioritize, and get things done. You have a drive for excellence, take ownership, and are biased to action. It would be nice to have Open-source projects, published research papers, or other examples of experience in using machine learning. Experience with applying deep learning, reinforcement learning, unsupervised learning, and other techniques to large-scale problems. Experience with distributed computing and handling large datasets. Our compensation, benefits, and perks Competitive salary Stock options Premium insurance: health (100% covered), dental (90% covered), and vision (90% covered). Dependents are covered at 50%. Wellness benefits (e.g., gym, fitness classes, physical therapy). Retirement 401k: 100% match of your 401k deferrals up to 4% of your compensation. Commuter benefits Daily meals in the office Training and development budget, e.g., for domestic conferences. Flexible working hours Unlimited PTO (with manager approval) Team-building events and celebrations

Full job record

Job IDc0be6ce38509807c232231b590866e9158aba76c
Org ID041a979a-862b-4a82-b766-0fb1f5dd6f6a
Source ID814e078b-d46c-4591-bd68-af6f2c9ecf55
Board ID814e078b-d46c-4591-bd68-af6f2c9ecf55
Providerashby
Provider Job Key53c6404c-4fe5-4685-86ed-f6661b0fccf2
TitleMember of Technical Staff - Machine Learning
Normalized Title
Statusactive
Activeyes
Location TextSan Francisco Office
DepartmentCore
TeamCore, Engineering
Employment Typefull_time
Workplace Typeon_site
Remote Policy
CountryUnited States
RegionCA
CitySan Francisco
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://jobs.ashbyhq.com/asari.ai/53c6404c-4fe5-4685-86ed-f6661b0fccf2
Apply URLhttps://jobs.ashbyhq.com/asari.ai/53c6404c-4fe5-4685-86ed-f6661b0fccf2/application
First Seen At2026-05-29 06:18:15Z
Last Seen At2026-06-06 09:17:26Z
Last Checked At2026-06-06 09:17:26Z
Last Changed At2026-05-29 06:18:15Z
Inactive At
Source Posted At
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=ashby/board=asari.ai/date=2026-06-06/2026-06-06T09-17-25-919Z-7a169db58d6c5c138c0516031addccd5ce56dde63a93d16cd7988aaeed4c30dc.json
Event Fields
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  "last_changed_at": "2026-05-29T06:18:15.109Z",
  "active_status": "active"
}
Parsed Structured
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    "country": "United States",
    "is_remote": false,
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  "salary_max": null,
  "salary_min": null,
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  "launch_scope": {
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    "location": {
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      "region": "CA",
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    ]
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  "remote_policy": null,
  "salary_period": null,
  "workplace_type": "on_site",
  "salary_currency": null
}
Extensions
{}
Native Structured
{
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  "team": "Core, Engineering",
  "title": "Member of Technical Staff - Machine Learning",
  "jobUrl": "https://jobs.ashbyhq.com/asari.ai/53c6404c-4fe5-4685-86ed-f6661b0fccf2",
  "address": null,
  "applyUrl": "https://jobs.ashbyhq.com/asari.ai/53c6404c-4fe5-4685-86ed-f6661b0fccf2/application",
  "isListed": true,
  "isRemote": false,
  "location": "San Francisco Office",
  "updatedAt": null,
  "apiVersion": "ashby-non-user-graphql-v1",
  "department": "Core",
  "publishedAt": null,
  "workplaceType": "OnSite",
  "employmentType": "FullTime",
  "secondaryLocations": []
}
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GET https://api.bluedoor.sh/job-postings/v1/sources/814e078b-d46c-4591-bd68-af6f2c9ecf55JSON
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