Why this grade
This listing scored 70/100, which is a B. It lost the most ground on pay transparency.
- Description depth 20 / 20 How much the posting actually says about the work, measured in characters of real text.
- Freshness 15 / 15 How recently it was posted. Older postings are likelier to be filled or abandoned.
- Remote clarity 15 / 15 Whether "remote" means anywhere, or is quietly restricted to one country.
- Pay transparency 12 / 25 A published salary range, worth more than any other single factor because it is what a candidate cannot find out without applying.
- Corroboration 5 / 10 Whether more than one source carries this listing.
- Role specificity 3 / 10 Whether the listing is tagged well enough to tell what the role actually is.
Every figure above is arithmetic over the posting itself — its salary field, its text, its age, its tags and how many sources carry it. How the grades work →
hn-hiring
AI, ML Infra, Data Platform)| ONSITE 5 days/week, New York City (union square area!) | Full-time | $150k–$260k + equity | https://jobs.ashbyhq.com/rebar
We build AI estimating software for commercial HVAC, plumbing, and electrical contractors. Before bidding on a job, a contractor or estimator has to count every duct, fitting, diffuser, and piece of equipment across a set of construction drawings that can run to thousands of pages. We speed this up by ingesting the drawings, detecting the equipment schedules, finding symbols, and producing a priced takeoff that the estimator reviews and corrects in a collaborative canvas editor. We have strong PMF and raised a $14M Series A earlier this year.
It may not sound sexy, but it actually is!! There are a ton of hard and interesting engineering challenges. Just to highlight a few:
* very dense document drawings with a realtime collaborative canvas editor (think 50k DOM elements and up)
* segmentation models (and many more) whose output has to become geometry a user can interact with
* gpu inference across hundreds of concurrent jobs
* dynamic analytics and chart generation from agentic workflows custom built for estimators
Open roles:
* Software Engineer, Product ($180k–$240k): https://jobs.ashbyhq.com/rebar/5ab49c2d-9a70-4723-9217-7704a455155c
* Software Engineer, Applied AI ($150k–$250k): https://jobs.ashbyhq.com/rebar/ad41a627-d9a4-49a4-a1b4-f7202d9d5eb1
* Software Engineer, ML Infrastructure ($200k–$260k): https://jobs.ashbyhq.com/rebar/ead8df0c-b6da-4e79-90d0-99651cc309f5
* Software Engineer, Data Platform ($170k–$220k): https://jobs.ashbyhq.com/rebar/c227ea05-98f8-4a08-9760-f7e3c37927c4
Stack: TypeScript/React/Next.js, Python, PyTorch, Postgres, Temporal, AWS, Kubernetes, Modal.
We're also hiring for PMs, implementation, sales, and marketing roles! I'm the Head of Engineering. Apply through Ashby and mention HackerNews or HN in the Ashby form. Or email me at [email protected]. We will reply to everyone, but it might take us some time! Thank you in advance for your patience
Additionally, there's a fun puzzle on our marketing site that will fast track your application if you want to solve!
Apply for this role Opens jobs.ashbyhq.com — verified as the employer's own application page
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Where this listing came from
- 02 Oct 2026 Hacker News first sighting
Seen on 1 board over 1 day.