Posted by whoishiring 23 hours ago
Ask HN: Who is hiring? (June 2026)
Please only post if you personally are part of the hiring company—no recruiting firms or job boards. One post per company. If it isn't a household name, explain what your company does.
Please only post if you are actively filling a position and are committed to replying to applicants.
Commenters: please don't reply to job posts to complain about something. It's off topic here.
Readers: please only email if you are personally interested in the job.
Searchers: try https://nthesis.ai/public/hn-who-is-hiring, https://dheerajck.github.io/hnwhoishiring/, http://nchelluri.github.io/hnjobs/, https://hnjobs.emilburzo.com.
Don't miss this other fine thread: Who wants to be hired? https://news.ycombinator.com/item?id=48357724
Conductor lets builders run teams of coding agents. We're a small team, we recently announced our $22m Series A, and we're looking for exceptional software engineers and designers to join us.
Hiring for my team at SpaceX! We work at the intersection of EE/SW/DSP, owning the software for characterizing and operating Ku band phased array antennas that serve as the fronthaul for the Starlink constellation.
Job description: https://job-boards.greenhouse.io/spacex/jobs/8468958002 My email: Joshua.Johnson@spacex.com
We're a seed-stage startup building the context layer for agentic cybersecurity - if you're in the SF Bay Area reach out to alex@northstar.security
Deep learning transformed text and images but mostly skipped tables, even though they're behind most clinical trials, financial models, and scientific experiments. The reason is structural: no natural sequence, no spatial structure, no shared vocabulary across datasets, so the architectures and scaling laws behind LLMs don't transfer. We're building the foundation-model approach for tabular data. We started with TabPFN. v2 was published in Nature and set a new state of the art on tabular benchmarks; since release we've scaled capabilities ~20x and crossed 3M+ downloads and 6k+ GitHub stars. The hard problems are still open: scaling to millions of rows, low-latency inference, new data modalities, and the infrastructure to run all of it in production.
Open roles: - Senior ML Infrastructure Engineer - own multi-cluster GPU infra (Slurm on GCP today, multi-provider next), training performance, and the tooling layer. We spend tens of millions/year on compute; you own that budget. Train your own architecture if you've got one. - ML Engineer, Cloud Platform - design and scale the backend and infra that serve and finetune the models. Python/FastAPI, Terraform, K8s. - Full Stack Engineer, ML Platform - build the product end to end, data upload through inference. TS + Python, React/FastAPI/Postgres. - Research Scientist, Foundation Model - drive the model agenda: novel architectures, scaling 10K to 1M+ samples, multimodal and causal directions. PhD + top-venue publications or equivalent.
Also hiring: Applied Scientist, Forward Deployed ML Engineer, Developer Relations Engineer, AE, BDR.
30-person team with backgrounds from Google, G-Research, Jane Street, Goldman, CERN. Led by Frank Hutter, advised by Bernhard Schölkopf and Yann LeCun. Comp competitive with top AI labs.
All roles: https://priorlabs.ai/careers
Hevy is a multiplatform weight lifting tracker that lets athletes log their workouts, track progress and be part of a community of gym athletes. We are a bootstrapped fitness and technology company operating out of Barcelona, Spain.
Relocation to Spain: full relocation package, work permit + residence permit for spouse, hybrid (2-3 days in office/week), competitive salary + performance bonus. https://www.hevyapp.com/careers/
Trayd is building the operating system for construction payroll and back office. We make payroll fast and compliant for workers and subcontractors in a massive industry that still runs on spreadsheets and outdated systems. YC-backed and growing quickly with real customers and weekly payroll in production.
Apply here: https://www.ycombinator.com/companies/trayd/jobs/1Ez3l4b-sen...
We design and ship category-defining software that enables Ryder and its 50,000+ customers—including some of the world's most well-known brands—to plan and execute freight intelligently, efficiently, and cost-effectively. Our work includes everything from customer-facing software to the data platform that will power the next era of innovation at Ryder.
Baton's mission: enable supply chain on autopilot.
Ryder acquired Baton in 2022 to power its next wave of digital products. We operate at startup speed, with Fortune 500 reach. If you have a passion for solving complex problems and creating impact for the engine of the American economy, you'll love it here.
Current openings at Baton:
* Senior Software Engineer - Full Stack, Technical Lead (hybrid, $200,000 - $250,000): https://grnh.se/wkmk2d0e7us
* Group Product Manager, Platform (hybrid, $220,000 - $270,000): https://grnh.se/bd8io8wp7us
* Head of Technical Operations (hybrid, $180,000- $230,000): https://grnh.se/gw86i0tc7us
* Senior Product Designer (hybrid, $140,000 - $190,000): https://grnh.se/2nlrivyp7us
* Software Engineer - Infrastructure, Data Platform (hybrid, $162,000 - $216,000): https://grnh.se/d6s6od6w7us
* Product Marketing Manager (remote, $90,000 - $140,000): https://grnh.se/r7unwhdx7us
* Engineer Manager, Engineering Productivity & Cloud Infrastructure (hybrid, $250,000 - $275,000): https://grnh.se/w9pg8scf7us
* Product Intelligence & Data Analytics Manager (remote, $90,000 - $140,000): https://grnh.se/lyd76nke7us
Hiring a Senior Director, Data Engineering to lead our data platform (Snowflake, dbt, Dagster, DataHub), team, and strategy. Actively hiring- Apply: https://careers.globalp.com/senior-director-data-engineering...
Mitte is an AI creative suite — the agentic OS for creative teams.
Engineering (Berlin, on-site):
- Senior Full-Stack Engineer (Go, React): https://mitte.ai/careers/role/GZHn1_O6
- Senior Frontend Engineer (React, TS, Redux): https://mitte.ai/careers/role/5qi8KR4D
- Senior Backend Engineer (Elixir, Go): https://mitte.ai/careers/role/oaFnPm0A
- Founding Engineer (Go, React): https://mitte.ai/careers/role/7VTbvOae
- AI Educator (Remote): https://mitte.ai/careers/role/ZxfzRYO0
- Founder's Associate: https://mitte.ai/careers/role/0dSWgqG1
Thank you.
We're a small, research-driven, VC-backed team building NeoHuman: a desktop-first system that observes how people actually use AI tools, files, and workflows during real tasks, and turns those sessions into reliable evaluation evidence. We care about the process, not just the final answer — what someone typed, what they copied, what they verified, how they moved across apps.
We've published the AgentIF-OneDay benchmark. Now we're scaling the capture and evaluation infrastructure underneath it.
You'd own: - Cross-platform desktop capture across macOS + Windows (AX/UIA trees, OCR, clipboard, keyboard/mouse boundaries, file interactions) - Trace fusion — turning noisy low-level signals into clean human-readable session timelines - The evaluation evidence pipeline (data model, ingestion, exports) - LLM normalization that summarizes traces without hallucinating or hiding evidence quality - Privacy/consent/proctoring safety for enterprise customers
We want an AI-native engineer: - 3+ years shipping production TypeScript + Node.js - Built or shipped Electron + native helpers - Strong PostgreSQL (schema design, indexing, data quality) - Comfortable with OS APIs, permissions, background processes - Hands-on LLM API experience (structured output, evaluation, hallucination control) - Uses Claude Code, Cursor, or similar as a daily working medium — not a side experiment - Bonus: macOS AX / ScreenCaptureKit / CGEventTap, Windows UIA, or you've studied/built things like Screenpipe, OpenAdapt, Rewind, OpenChronicle
Stack: TypeScript · Node.js · Electron · native macOS/Windows · Next.js 15 · React 19 · Postgres + Supabase · OCR · Accessibility APIs · OpenAI / Anthropic / Gemini · Vercel · GitHub Actions
Why us: Hard, unusual problem at the boundary of OS internals, multimodal capture, and AI evaluation. Small team, technical founders who code daily, real ownership of the capture stack. We hire on demonstrated capability, not credentials.
Apply: email jack@emergences.ai with your resume and a brief note about a system you've built — desktop software, AI infra, data pipelines, evaluation, or low-level debugging. Subject: "Your Name — AI / Systems Engineer". Please mention HN in the email.