Airgoods | Platform Engineer, Design Engineer, Mobile Engineer | NYC | Full-time | $120k-$220k + equity
Airgoods is building the future of food and beverage distribution. Today, we help emerging brands (think Fishwife, Ghia, and David Protein) rapidly grow their wholesale business and earn placement into the nation’s best specialty food stores.
Apply here: https://jobs.ashbyhq.com/airgoods
Improving South America | REMOTE (LATAM) | Full-Time,
- Node + TS + AWS Developer - SR.
- Database Engineer - SSR/SR.
- Fullstack Engineer: Python + TS + AI - SR.
- Data Engineer w/ Snowflake - SR.
- Node.js Developer - SR.
Apply here: getonbrd.com/companies/improving - or follow us on LinkedIn
Extend | Senior Software Engineer, ML Engineer, AI Engineer | NYC | Full-time | $250k-$350k + equity
Extend is building a LLM-native document processing platform (massive market w/ low NPS existing solutions) (https://extend.ai/)
Apply here: https://jobs.ashbyhq.com/extend
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Why you should consider joining:
- High comp (both cash & equity), culture of high impact and ownership, in-person in NYC
- We blew past 7-figures in ARR with a team of 6, and have grown 5x YoY
- Our customers include companies like Zillow, Chime, Flatiron Health, Brex, Mercury, Checkr, and many more
- We're supporting customer and revenue metrics with 1/2 the team size of other startups, so everyone joining at this stage will have outsized impact
- Backed by YC, Homebrew, investors from OpenAI, and more
krea.ai | Distributed Systems Eng. & Data Engineers | San Francisco (on-site), CA
I'm the cofounder & CTO of Krea (https://www.krea.ai). We are a startup in San Francisco building browser-based AI creative tools to improve the workflows of artists, designers, and professional creatives. Small team (~22); millions of active users; and raised over $83M from top Silicon Valley investment firms.
We're looking for talented engineers who want to tackle hard technical challenges with smart people while building a creative platform that big companies and startups will rely on.
The job:
- Build distributed systems to process massive (billions of files, petabytes), amounts of image, video, and 3D data, solving scaling bottlenecks as you go.
- Learn ML engineering from world-class researchers on a small tight-knit team. You’ll contribute to foundation image, video, and world models from 0 → production, and see them used by millions.
- Play with huge Kubernetes GPU clusters; our main GPU cluster takes up an entire datacenter from our provider.
Tech stack: python, pytorch, k8s, a rotating cast of data tools (e.g. DuckDB, massive relational DBs, PyArrow, etc.)
You should apply if you are an excellent generalist engineer with strong backend experience and an intuition for systems design. Bonus points for experience with dist. systems, k8s, and existing ML or data experience (but not required!). Cool side projects are a green flag.
A few links about us:
- Sneak peek of our real-time video model → https://x.com/krea_ai/status/1961074072487620635
- Technical report for FLUX.1 Krea, our first open-source text-to-image model → https://krea.ai/blog/flux-krea-open-source-release
You can contact me at:
Email is hidden (the +hn will bump your email in my inbox)
Microsoft Research | AI researchers / engineers | ONSITE (UK/GERMANY) | Full-Time
We are a team of researchers at the crossroads between biophysics and machine learning. Our work hit the cover of Science magazine a few weeks ago (https://www.science.org/toc/science/389/6761).
We have several FTE senior research/engineering openings. Annual salary ~100k GBP/y + 30% optional bonus + MSFT stock
https://jobs.careers.microsoft.com/global/en/job/1885786/sen...
https://jobs.careers.microsoft.com/global/en/job/1885738/sen...
https://jobs.careers.microsoft.com/global/en/job/1885746/sen...
https://jobs.careers.microsoft.com/global/en/job/1885775/pri...
We also have internships + a fixed-time postdoc position available:
https://jobs.careers.microsoft.com/global/en/job/1880857/res...
https://jobs.careers.microsoft.com/global/en/job/1880858/res...)
SPREAD | https://www.spread.ai/ | Technical writer | Germany (Berlin, ideally) | Full-time
SPREAD builds B2B software for mechatronics customers like cars and defense systems. We help them design, build and diagnose problems with their systems faster. We do it with a combination of a well-designed ontology we've spent years working on as well as AI-based systems. Right now, we're looking for a technical writer to join our team that's really forward thinking to own the writing, tooling, and also lead the company in ambitious technical writing.
You can reach me at shane at spread . ai with your resume
9 Mothers Defense | Robotics Eng. & Computer Vision / Data Scientist | Hybrid (Austin TX) | Full-time
Building AI-driven turrets that stop hostile drones. We need sharp, hands-on engineers:
Embedded Robotics: Python on Jetson, CAN (+ EtherCAN / EtherCAT) drive buses, high-speed cameras, real-time PID/servo control, ROS, TensorRT
Computer Vision / ML: detection + tracking, transformer-based visual models, TensorRT tuning on Jetson
US persons only (e.g. green-card, citizens). Shoot your résumé / GitHub and a quick note on why you're good fit to Email is hidden
Mechanize Inc. | San Francisco, CA (Hybrid, ONSITE preferred) | Senior SWE ($500k+equity), Junior SWE ($250k+equity)
Apply at: https://jobs.ashbyhq.com/mechanize
Mechanize builds sophisticated reinforcement learning environments to simulate realistic software engineering tasks (feature development, debugging, refactoring, reliability testing) for frontier AI labs. Our mission is to automate software engineering first, then all economically valuable work. We're growing quickly, working with leading AI labs, and backed by investors like Nat Friedman, Daniel Gross, Patrick Collison, and Jeff Dean. Featured in NYT and TechCrunch.
Artificial Analysis | https://artificialanalysis.ai | Full Stack Engineer, ML Engineer, Member of Technical Staff | Onsite in San Francisco or in Australia/New Zealand | Competitive Salary + Equity
Artificial Analysis is an independent AI benchmarking and insights provider. We benchmark AI to help engineers and companies understand AI and make informed decisions regarding which AI technologies to use. We are fast growing with a team of 20 and have backing from investors including Nat Friedman, Daniel Gross & Andrew Ng.
We are hiring for four roles: 1. Full Stack Engineer: Full Stack Engineer to support our benchmarking of AI and with communicating these benchmarks to our users. Proficiency in Typescript & Python required. Familiarity with LLM APIs preferred. Tech stack: Javascript/Typescript, Node.js, React/Next.js, Python.
2. ML Engineer: ML Engineer to support our benchmarking and evaluation of AI software stack. You will design and run benchmarks and evaluations of different AI models. Strong analytical skills and proficiency in Python required.
3. Member of Technical Staff: You will design evaluations of different AI models and work to translate technical insights to analysis that helps companies navigate AI.
4. Product Manager (AI Media Generation): You'll work closely with us to develop and enhance our media generation (Image, Video, Speech, Music) arenas and leaderboards, contributing to product strategy and execution at the intersection of creativity and AI.
Apply at hiring (-at-) artificialanalysis.ai with your resume, github and dot points on relevant experience (including anything you've built). Add | HackerNews to email subject line.
Metaculus | https://www.metaculus.com/ | Remote: GMT-8 to GMT+3 | Full Time | Remote
Role: Full-Stack Engineer (https://apply.workable.com/metaculus/j/945ed2a234/)
Metaculus is an online forecasting platform and aggregation engine working to improve human reasoning and coordination on topics of global importance. We offer trustworthy forecasting and modeling infrastructure for forecasters, decision makers, and the public. Our mission is to to build epistemic infrastructure that enables the global community to model, understand, predict, and navigate the world’s most important and complex challenges.