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The coding interview question involves a collection of points (places) on a 2D grid. Places and Queries against those places are listed in sequential order in a commands.txt file in a colon-seperated format. A query is a circle with a center point and radius, along with a collection of 0-N expected places contained within it. Place - id, x, y Query - id, x, y, radius, expected return values (comma-separated) The task…
HomeVision | Multiple Roles - Eng, SRE, Analytics | Hybrid SF & Remote | Full-Time | $100k-$220k + equity We have three open roles: - Engineer - Hybrid SFO I'm looking for an junior-to-senior software engineer to work with me (CTO) directly. Our systems process millions of pages of documents a month for the mortgage industry. We work with some of the largest lenders in the country and are at the forefront of applying…
Datalab trains open-weight, state-of-the-art models for document intelligence — Chandra, Surya, Marker — used across Tier-1 AI labs, Fortune 500s, and government agencies. 50,000+ GitHub stars. 7-figure ARR. ~7× growth in 2025.
We’re a small, senior team shipping fast: everything from novel OCR models to production-grade parsing infrastructure. Tons of ownership, direct customer impact, and the chance to push the frontier of document AI.
Hiring: • Research Engineer — https://pages.datalab.to/Research-Engineer-2a2b95e8757f805da... • Fullstack Engineer — https://pages.datalab.to/Fullstack-Software-Engineer-2b5b95e...
Stack: FastAPI (Python) for backend + frontend, HTMX/JS, Postgres, Redis, Render. Training & inference in Python/PyTorch.
Benefits: Early-exercise options, full health, 401(k), unlimited PTO (incl. holiday shutdown), choose-your-own device.
Interested? Email careers@datalab.to with your resume and GH profile!
Kernel is building the data backbone for commercial real estate — converting messy CRE documents into structured, decision-ready data using ML and distributed systems. It’s a $20T+ market still trapped in PDFs and siloed tools, so the impact is immediate and real.
We’re an engineering-first company — our technical breakthroughs set the direction for what we can commercialize. Our team is small, senior, and high-trust. Every engineer owns production systems and directly shapes the platform’s capabilities.
You’ll design and own backend systems powering AI-driven pipelines: async FastAPI services, SQLAlchemy 2.x models, event-driven ingestion workflows (Pulsar/Kafka), multi-tenant auth (OIDC/JWT), Kubernetes deployments, and full observability.
Stack: Python 3.12+, FastAPI, AsyncIO, SQLAlchemy 2.x, Pulsar/Kafka, OIDC/JWT, Kubernetes, GitOps/Terraform, OpenTelemetry, Prometheus.
Comp: $150k–$200k + up to 3% equity
Apply → https://kernel-intelligence.breezy.hr/p/99e076eed192-backend...
GovDash.com | Full Stack Software Engineer - AI Agent Orchestration | Full-Time | New York City | $150K GovDash is redefining government contracting, a $700B+ market driven by slow, outdated tools. We are building the AI-first ERP that unifies capture, proposal development, and contract management, replacing disconnected point solutions with a unified, intelligent system. We recently closed a $10M Series A led by Nor…
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Sounds quite easy to come up with such tasks. E.g. prove collatz conjecture. or write an O(log N) worst case sort. So there must be some boundaries.
The pay clearly isnt by hour so how is it worked out?
We're an early-stage (pre-seed) VC-backed startup automating RFP proposals for the AEC (Architecture, Engineering, Construction) industry.
We are building an agentic AI platform that embeds directly into Microsoft Word, helping firms find and win more work, while serving as their knowledge management hub for all business development.
You would be the first full-time engineering hire working directly with the founders (I'm the technical co-founder). We need someone who can ship production code across the whole stack.
The Stack: - Frontend: Next.js, React - Backend: FastAPI (Python), Temporal
Hard problems you will solve:
Deep Word Integration: Building a high-performance, "Cursor-like" experience within the constraints of Office.js.
Agentic Workflows: Orchestrating AI agents that can read complex government requirements, reason about compliance, and generate winning output autonomously.
Evolving Knowledge Graph: Architecting a library system that doesn't just store files, but learns from project history and feedback loops.
If you want a chance to work on a hard problem, in an exciting space, with a strong team that has validated the market and de-risked the business, with major upside, let's talk!
To apply, email me directly: majd [at] bidaya.ai or [here](https://app.dover.com/apply/bidaya/d5f29bbb-9c67-4c4e-82bf-5...) Mention HN in the subject.
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Can you drop more info here on how it works. Before we go through sign up process. Sounds quite easy to come up with such tasks. E.g. prove collatz conjecture. or write an O(log N) worst case sort. So there must be some boundaries. The pay clearly isnt by hour so how is it worked out?
Tasks must be coding problems to complete in a set of open-source repositories. We have eight repositories now and will add more in the future. You can source tasks by identifying merged commits into these repos, and making the following: - A well-defined task description (what should the AI do?) - A golden solution (can be sourced by the implementation in the merge commit) - A test patch (can be sourced from the merge commit, this is a testing suite that verifies whether the AI's solution is correct).
If you can make a task that is hard enough for our AI, you will get paid a fixed amount. That's it!
Once you are approved onto the site, there will be a more detailed tech spec + payment info + a tutorial.
Bonsai Robotics | Senior Computer Vision Engineer | Hybrid (Bay Area) | https://bonsairobotics.ai/
Bonsai Robotics is building the world's most reliable and versatile outdoor autonomy stack, starting with deployments in agriculture.
We're hiring both in the MLOps side, building the pipelines that feed our models with data, and the ML/CV side, building the models themselves and the associated CV algorithms. We're especially interested in engineers who have experience building/training 3D birds-eye-view detection/segmentation models, and 3D reconstruction.
Stack: Python, PyTorch, Ray, Rust/C++ (on-vehicle)
Salary: 150,000 - 250,000 USD per year
Apply: https://ats.rippling.com/en-US/bonsairoboticsmain/jobs/2a899...
The job post for the MLOps role is not up yet, please directly send resumes to john.macdonald [at] bonsairobotics.ai in the meantime.
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If this is the case, this post doesn't belong here imo
This post certainly does not follow the comment guidelines or format