Home › Companies › Asari.Ai › Member of Technical Staff - Machine Learning
Member of Technical Staff - Machine Learning
Asari.Ai · San Francisco Office · On Site · Active · Ashby
Job facts
| Field | Value |
|---|---|
| Company | Asari.Ai |
| Title | Member of Technical Staff - Machine Learning |
| Normalized title | - |
| Department / team | Core / Core, Engineering |
| 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 | 2026-05-29 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Asari.Ai. | 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 Core. | 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 | Asari.Ai |
| Source | 814e078b-d46c-4591-bd68-af6f2c9ecf55 |
| ATS provider | Ashby |
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 ID | c0be6ce38509807c232231b590866e9158aba76c |
| Org ID | 041a979a-862b-4a82-b766-0fb1f5dd6f6a |
| Source ID | 814e078b-d46c-4591-bd68-af6f2c9ecf55 |
| Board ID | 814e078b-d46c-4591-bd68-af6f2c9ecf55 |
| Provider | ashby |
| Provider Job Key | 53c6404c-4fe5-4685-86ed-f6661b0fccf2 |
| Title | Member of Technical Staff - Machine Learning |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | San Francisco Office |
| Department | Core |
| Team | Core, Engineering |
| 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/asari.ai/53c6404c-4fe5-4685-86ed-f6661b0fccf2 |
| Apply URL | https://jobs.ashbyhq.com/asari.ai/53c6404c-4fe5-4685-86ed-f6661b0fccf2/application |
| First Seen At | 2026-05-29 06:18:15Z |
| Last Seen At | 2026-06-06 09:17:26Z |
| Last Checked At | 2026-06-06 09:17:26Z |
| Last Changed At | 2026-05-29 06:18:15Z |
| Inactive At | — |
| Source Posted At | — |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=ashby/board=asari.ai/date=2026-06-06/2026-06-06T09-17-25-919Z-7a169db58d6c5c138c0516031addccd5ce56dde63a93d16cd7988aaeed4c30dc.json |
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