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Research Engineer
Sesame · San Francisco · On Site · Active · Ashby
Job facts
| Field | Value |
|---|---|
| Company | Sesame |
| Title | Research Engineer |
| Normalized title | - |
| Department / team | Machine Learning / Machine Learning |
| Location | San Francisco, CA, United States |
| Work model | On Site |
| Employment type | Full Time |
| Salary | - |
| Status | active |
| ATS provider | Ashby |
| Posted / first seen | — / 2026-05-29 |
| Changed / last seen | 2026-06-06 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Sesame. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Ashby. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in San Francisco. | Open |
| Department jobs | Active postings in Machine Learning. | Open |
| Work model jobs | Active On Site postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Sesame |
| Source | fadca3b3-d0b9-42cc-9362-5135e2ab8a21 |
| ATS provider | Ashby |
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 ID | 706ffe4413b93ebf516c2d83e1f7652edeae1c90 |
| Org ID | 7ba82021-65aa-45a8-82cb-c064fc1f5f6a |
| Source ID | fadca3b3-d0b9-42cc-9362-5135e2ab8a21 |
| Board ID | fadca3b3-d0b9-42cc-9362-5135e2ab8a21 |
| Provider | ashby |
| Provider Job Key | 5e846cd7-5719-440c-b8ef-2fba501847ae |
| Title | Research Engineer |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | San Francisco |
| Department | Machine Learning |
| Team | Machine Learning |
| Employment Type | full_time |
| Workplace Type | on_site |
| Remote Policy | — |
| Country | United States |
| Region | CA |
| City | San Francisco |
| Salary Raw | — |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://jobs.ashbyhq.com/sesame/5e846cd7-5719-440c-b8ef-2fba501847ae |
| Apply URL | https://jobs.ashbyhq.com/sesame/5e846cd7-5719-440c-b8ef-2fba501847ae/application |
| First Seen At | 2026-05-29 07:10:34Z |
| Last Seen At | 2026-06-06 09:42:03Z |
| Last Checked At | 2026-06-06 09:42:03Z |
| Last Changed At | 2026-06-06 09:42:03Z |
| Inactive At | — |
| Source Posted At | — |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=ashby/board=sesame/date=2026-06-06/2026-06-06T09-41-48-582Z-99e2b56958aa30bacc61ede1f9390eed4381210f4cc08d139749e4d0dae2c26d.json |
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