Posted by whoishiring 7 days ago
Ask HN: Who is hiring? (April 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, http://nchelluri.github.io/hnjobs/, https://hnjobs.emilburzo.com, or this (unofficial) Chrome extension: https://chromewebstore.google.com/detail/hn-hiring-pro/mpfal....
Don't miss this other fine thread: Who wants to be hired? https://news.ycombinator.com/item?id=47601858
We build environments that frontier AI labs use to train their models to do real-world software engineering. Team of ~25. We have more demand than we can keep up with, so we're hiring fast. Backed by Nat Friedman, Daniel Gross, and Patrick Collison.
We’re a team of experienced generalist SWEs and AI enthusiasts who are building custom AI agents for enterprise clients. No AI experience required: we are actively trying to be the best place in the world to learn applied AI.
I’m Frank, an engineer here. This is the first services-style company I’ve worked at, so for those of you in a similar boat, this is what I’ve really liked so far:
* The learning rate is super fast. 3-4 client projects a year, each with different tech stacks, products, industries, and architectures. Lots of learning resources including a full AI engineering bootcamp when you onboard.
* Our projects are typically high priority and sponsored by prominent executives. The path here for projects to have real impact on usage or bottom line is much shorter.
* We’re “selling pickaxes during the gold rush”. When AI finds its next killer app, we’ll be the first to know about it.
We’re hiring staff+ SWEs onsite with offices in San Francisco, New York, Durham NC, and Dubai. Feel free to reach out to me directly (frank@fractional.ai) or take a look at the full job posting:
https://jobs.ashbyhq.com/fractional-ai/1db16198-e91e-425d-83...
Senior Software Engineer: You'll own complex technical problems end-to-end—translating customer needs into scalable architecture, optimizing AI model efficiency through prompt engineering, and shipping features that directly impact how revenue teams operate. We want bold ideas and people who push boundaries.
Junior Software Engineer: You'll work across our stack (Python, FastAPI, Next.js, React) alongside senior engineers, contributing to real features from day one. Great fit if you're hungry to learn, ship fast, and grow with a startup building cutting-edge agentic systems.
New Grad Software Engineer: Entry point for recent grads excited about AI and agentic systems. You'll get hands-on experience with our modern data stack (Postgres, ElasticSearch, ClickHouse, DuckDB), Kubernetes/AWS deployment, and Temporal.io workflow orchestration while shipping production code.
This role is based in our Manhattan office (4 days/week in-person). Full health and dental coverage.
Apply: https://forms.gle/kEi5MDDiaJKdyN3fA or email maksym at withlantern.com with your resume.
Nuance Labs is building the first "human foundation model" — a unified system that understands and expresses human emotion in real-time across speech, facial expression, and body language. We are crossing the "uncanny valley" to create AI interactions that feel truly alive.
We recently raised a $10M seed round (Accel, South Park Commons, Lightspeed) and our founding team comes from MIT, UW, and Oxford, with deep experience shipping AI products at Apple and Meta. We are a small, fast-moving team that values in-person collaboration in our Seattle HQ.
We are looking for:
Machine Learning Infra Engineer: Own our GPU-backed serving stack, Kubernetes clusters, and media serving layer.
Systems Engineer (Real-Time Engine): Build our core server-side runtime. High-concurrency, low-latency systems. Python/Asyncio today, transitioning to Rust.
Why join?
Massive ownership in a high-bar, research-heavy environment.
Work on the frontier of multimodal generative AI and real-time graphics.
Competitive equity and the chance to shape a company from the ground up.
Apply: Check out the roles at https://www.nuancelabs.ai/careers and mention "hackernews" for how you heard about us.
We build AI-powered tools that help researchers and organizations make sense of the scientific literature. Small team, hard problems, real momentum. Our MCP server just launched, enterprise adoption is growing, and the product roadmap is full of ambitious bets.
Stack:
Frontend: React 18, Redux/Redux Saga, Webpack, SWC, Express (SSR), CSS Modules Backend: FastAPI (Python 3.11), Flask, PostgreSQL, Elasticsearch, Redis, Celery AI/ML: Claude (Anthropic), OpenAI, PyTorch, Hugging Face Transformers, sentence-transformers, RAG pipelines
Infrastructure: AWS (ECS Fargate, RDS, S3, Lambda), Docker, Kong API Gateway, GitHub Actions, CircleCI
Observability: OpenTelemetry, New Relic, Sentry, PostHog
Other: Stripe, SendGrid, Playwright, TypeScript
What we're looking for:
Strong engineering fundamentals Comfort working across the stack, Python and JavaScript/React in particular Experience with PostgreSQL, Elasticsearch, or similar data-intensive systems is a plus
Familiarity with LLM APIs and retrieval-augmented generation (RAG) is a bonus Genuine curiosity about how AI can improve how people interact with research
If you're interested or know someone who might be a great fit, email josh@scite.ai
Uncountable accelerates R&D for industrial scientists across leading materials, chemicals, and life sciences organizations. With our SaaS solution, our customers get better products to the market in half the time. Uncountable was founded by MIT and Stanford engineers and has been profitable since 2016. Our team has grown from 50 to 150 over the last two years.
Full-Stack Engineers | $130k - $220k + Equity
---> Uncountable is looking for engineers who can spearhead the development of the Uncountable Web Platform. The position is heavily product-driven and comes with challenges across the stack.
LLM Applications Engineers | $130k - $220k + Equity
---> Uncountable is looking for LLM applications engineers who can push the Uncountable data model forward through LLM-native UI's and application extensions.
--> Summer internships and working student positions are also available.
Learn more: https://www.uncountable.com/hiring/hn
Uncountable is hiring in New York City, San Francisco, London, and Munich.
Contact our CTO directly at jason@uncountable.com
We're a B2B payments platform (VCC, ACH, check) building a multi-tier agent architecture that replaces manual batch workflows with real-time, AI-optimized decision-making. Think ML-based scoring, decision-theoretic optimization, and human-AI collaboration — making thousands of real financial allocation decisions per day.
The architecture is designed and documented. You'll join a sharp, experienced team and own the build.
Day-to-day: decision engine for optimal action sequencing, real-time WebSocket infrastructure for human agents, scoring/ranking pipelines combining ML outputs with business rules, data pipelines for ML feature extraction, database migrations, event handlers, serverless functions.
Stack: .NET 10, C#, DDD/CQRS/event-driven, SQL Server, AWS (Lambda, EventBridge, DynamoDB), React (internal admin UI), Python (ML scoring pipeline). We use Claude Code as a daily development tool.
Looking for: strong C#/systems fundamentals, fluent with agentic coding workflows (Claude Code, Cursor, etc.), someone who thinks in state machines and optimization trade-offs, and who ships. React/TypeScript, AWS serverless, Python, or payments/fintech experience are strong pluses.
Small team, low ceremony, fully remote. Profitable company — not dependent on the next funding round. Competitive benefits (health, dental, vision, 401k match, PTO). You'll own features end-to-end from schema to production.
Contact: gfermoyle@viewpost.com
Burnin builds hard environments that break AI agents. We design continuous-time evaluation and training arenas for multi-agent coordination, coding agents, computer use In these envs agents face ticking clocks, cascading failures, and rules nobody wrote down. Small team from Meta FAIR, Pinecone, and AWS. Seed round closing this summer.
We're looking for a founding research scientist to own the research agenda: invariant learning (extracting implicit codebase rules for real-time grading), continuous-time evaluation design (why do LLM agents collapse under temporal pressure?), and new environment design (what is the field failing to measure?).
You have deep experience in at least two of: multi-agent systems, RL, program analysis, or evaluation methodology. PhD preferred, equivalent output without one is fine. You write production code, not just experiment scripts. You think about where models break, not what they can do.
Apply here: https://wellfound.com/l/2Carrr
I'm the cofounder of Krea (https://www.krea.ai/), a company building creative tooling and large-scale infrastructure for multimedia teams. Users range from hobbyists to world-renowned creatives: architects behind the World Trade Center or creative teams at Apple.
We treat research, engineering, and creativity as first-class citizens. We're looking for engineers to join our research, product, and infra teams.
What we value (staff & company writings):
- AGI: https://www.matthewnewton.com/blog/arc-challenge-diffusion
- Diffusion research: https://re-n-y.github.io/devlog/rambling/steering/
- Pragmatic LLM reflections: https://maxemitchell.com/writings/i-read-all-of-cloudflares-...
- Low-level computing: https://gab-menezes.github.io/2025/01/13/using-the-most-unhi...
- Open-sourcing AI research: https://www.krea.ai/blog/flux-krea-open-source-release
Current projects:
- WebGL2/WebGPU for node-based tools & CRDTs for collaboration
- Large-scale multimodal model training
- Cross-service metrics, tracing, and observability
- LLM-driven JS bundle optimization
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Please apply via `ssh apply@krea.engineering`
You can also apply via https://krea.ai/careers but that's no fun.
We're building a computational geometry engine from scratch in C++20. B-Rep modeling, surface-surface intersection, tolerance-aware geometric algorithms, and next-gen data exchange formats like QIF and STEP AP242. Clean codebase, no legacy code, no C++98.
If you've worked on a geometry kernel, CAD internals, or computational geometry libraries, you know how rare it is to find a modern codebase in this space. We're looking for someone who has actually implemented or worked closely with things like half-edge data structures, NURBS/spline evaluation, parametric surface operations, or spatial indexing for geometric queries. Experience with ACIS, Parasolid, or OpenCascade is a strong signal.
Huge bonus if you understand GD&T, tolerancing, or model-based definition well enough to implement it, not just read a drawing. The intersection of manufacturing domain knowledge and C++ engineering skill is exactly what we're building for.
Small team, early stage. Every engineer has real influence over architecture and technical direction. This is also a customer-facing role: you'll participate in demos and technical conversations with enterprise customers, so communication skills matter.
Requirements: modern C++ (C++17/20), US citizenship (required for government CUI work).
$95K–$125K base + performance bonuses, health insurance, 401k match, home office budget, professional development budget. Fully remote, US time zones.
jobs@rubypoint.io