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Research Engineer

Sesame · San Francisco · On Site · Active · Ashby

Job facts

FieldValue
CompanySesame
TitleResearch Engineer
Normalized title-
Department / teamMachine Learning / Machine Learning
LocationSan Francisco, CA, United States
Work modelOn Site
Employment typeFull Time
Salary-
Statusactive
ATS providerAshby
Posted / first seen / 2026-05-29
Changed / last seen2026-06-06 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Sesame.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 Machine Learning.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

CompanySesame
Sourcefadca3b3-d0b9-42cc-9362-5135e2ab8a21
ATS providerAshby

Description

About Sesame Sesame believes in a future where computers are lifelike - with the ability to see, hear, and collaborate with us in ways that feel natural and human. With this vision, we're designing a new kind of computer, focused on making voice agents part of our daily lives. Our team brings together founders from Oculus and Ubiquity6, alongside proven leaders from Meta, Google, and Apple, with deep expertise spanning hardware and software. Join us in shaping a future where computers truly come alive. Responsibilities: Own evaluation pipelines — design, build, and automate offline and live evals that keep our speech and multimodal models honest in production. Harness the data — create tooling for safe, versioned, privacy-aware dataset curation and discovery. Ship models, not slide decks — partner with research and infra to prototype, train, and deploy state-of-the-art voice models that power Sesame’s real-time companion experience. Squeeze silicon — scale training and inference for LLM-class workloads; chase latency, throughput, and cost until the graphs flatten. Wire up monitoring and live evals — surface quality regressions before users or PMs notice. Move at startup speed — take ideas from whiteboard to production in days, not quarters; leave a clean trail of tests and dashboards behind. Required Qualifications: Expert-level PyTorch. Proven software engineer who loves ML; comfortable writing production code across the stack. Hands-on experience training or fine-tuning large language or other large-scale models with a variety of techniques. Evaluation expert — you’ve designed metrics and harnesses that actually predict user happiness. Deep knowledge of the ML lifecycle: dataset ops, training pipelines, eval frameworks, deployment, and monitoring. History of shipping complex projects to production—especially user-facing, online ML systems—despite shifting requirements and surprise roadblocks. High agency and the judgment to know when to sprint solo vs. pull in the squad. Track record of setting technical direction, driving consensus, and partnering smoothly with product, infra, and research. Sesame is committed to a workplace where everyone feels valued, respected, and empowered. We welcome all qualified applicants, embracing diversity in race, gender, identity, orientation, ability, and more. We provide reasonable accommodations for applicants with disabilities. Contact [email protected] for assistance. Full-time Employee Benefits: 401 (k) max employer match: 3.5% of compensation 100% employer-paid health, vision, and dental benefits for you and your dependents Unlimited PTO and sick time Flexible spending account with employer matching up to $1,650/year (medical FSA) Guardian Employee Assistance Program (EAP) Opportunity to share in the company's success with competitive stock options Benefits do not apply to contingent/contract workers.

Full job record

Job ID706ffe4413b93ebf516c2d83e1f7652edeae1c90
Org ID7ba82021-65aa-45a8-82cb-c064fc1f5f6a
Source IDfadca3b3-d0b9-42cc-9362-5135e2ab8a21
Board IDfadca3b3-d0b9-42cc-9362-5135e2ab8a21
Providerashby
Provider Job Key5e846cd7-5719-440c-b8ef-2fba501847ae
TitleResearch Engineer
Normalized Title
Statusactive
Activeyes
Location TextSan Francisco
DepartmentMachine Learning
TeamMachine Learning
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/sesame/5e846cd7-5719-440c-b8ef-2fba501847ae
Apply URLhttps://jobs.ashbyhq.com/sesame/5e846cd7-5719-440c-b8ef-2fba501847ae/application
First Seen At2026-05-29 07:10:34Z
Last Seen At2026-06-06 09:42:03Z
Last Checked At2026-06-06 09:42:03Z
Last Changed At2026-06-06 09:42:03Z
Inactive At
Source Posted At
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=ashby/board=sesame/date=2026-06-06/2026-06-06T09-41-48-582Z-99e2b56958aa30bacc61ede1f9390eed4381210f4cc08d139749e4d0dae2c26d.json
Event Fields
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  "last_changed_at": "2026-06-06T09:42:03.618Z",
  "active_status": "active"
}
Parsed Structured
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  "launch_scope": {
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  "workplace_type": "on_site",
  "salary_currency": null
}
Extensions
{}
Native Structured
{
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  "team": "Machine Learning",
  "title": "Research Engineer",
  "jobUrl": "https://jobs.ashbyhq.com/sesame/5e846cd7-5719-440c-b8ef-2fba501847ae",
  "address": null,
  "applyUrl": "https://jobs.ashbyhq.com/sesame/5e846cd7-5719-440c-b8ef-2fba501847ae/application",
  "isListed": true,
  "isRemote": false,
  "location": "San Francisco",
  "updatedAt": null,
  "apiVersion": "ashby-non-user-graphql-v1",
  "department": "Machine Learning",
  "publishedAt": null,
  "workplaceType": "OnSite",
  "employmentType": "FullTime",
  "secondaryLocations": []
}
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GET https://api.bluedoor.sh/job-postings/v1/orgs/7ba82021-65aa-45a8-82cb-c064fc1f5f6aJSON
GET https://api.bluedoor.sh/job-postings/v1/sources/fadca3b3-d0b9-42cc-9362-5135e2ab8a21JSON
GET https://api.bluedoor.sh/job-postings/v1/jobs/706ffe4413b93ebf516c2d83e1f7652edeae1c90/eventsJSON