Rad AI | Remote US, CAN (+ Office in SF) Empowering physicians with best-in-class AI radiology solutions to save time, reduce burnout, and improve patient care. Series C with tremendous momentum.

High-priority technical roles in ML+Speech, Senior Security Engineer, Application + Cloud, and lots of need for full-stack product engineering

Unique Business Operations & Strategic Initiatives Lead role for the Office of the CEO, reporting to the Chief of Staff.

Apply here >> https://www.radai.com/careers?utm_source=W29wy29rlJ

DMI | Principal Full Stack Engineer | Munich, Germany | Full-time | ONSITE

DMI is a bootstrapped startup building the next-gen autonomy platform for defense & aerospace. Join us as Principal Full Stack Engineer to own and shape our product with the CTO.

You'll:

* Build high-performance frontends (Next.js, React, TypeScript)

* Integrate full-stack systems (FastAPI, Python, Rust)

* Optimize CI/CD and DevOps

* Mentor engineers and drive best practices

* Work directly with the CTO to shape product and technical strategy

You have:

* 5+ years building production software (3+ years frontend)

* Deep experience with our stack

* Strong DevOps/testing mindset

* Bonus: Real-time simulation, 3D/geospatial, or defense experience.

Why DMI?

* Product ownership, ESOP (employee stock option)

* A small, expert, high-impact team

* Great Munich office (simulator, BBQ, mountain views), mobility benefits, health and fitness benefits

Other software/ML roles open, just email me.

Interested?

Reach out directly to me (Pau): pgs(a)datamachineintelligence.eu

Plural | Remote (U.S. Time Zones) | Machine Learning Engineer | Full-Time Contractor | https://pluralpolicy.com/

Plural is a legislative intelligence company that seeks to make democracy more transparent and accessible through a SaaS-based web application, a FOSS suite of legislative data tools, and a growing portfolio of AI-driven tools and agents. We help policy professionals understand and take action on complex legislative documents using LLMs and house-trained ML models, and we are seeking a Machine Learning Engineer to help us design and develop these tools.

https://pluralpolicy.com/wp-content/uploads/2025/07/Job_-Pyt...

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 jobs@9mothers.com

Lovable | Stockholm (In-person) | Full-Stack, Design, and ML eng

We sponsor visas and have very generous relocation packages (even if you just want to come for a year).

Lovable is building an AI software engineer that lives in your browser. Building excellent software engineering agents is significantly harder than people think. We need the best engineers in the world to join us and will compensate you accordingly.

Learn more at: https://lovable.dev/careers or ping me on https://x.com/cviktore

Hestus | Machine Learning Engineer (Python, ML) | Peninsula (Onsite) | Full-time | $130k–$170k + equity | YC-funded

We're building AI-powered CAD tools to transform hardware development — think next-gen design workflows powered by custom ML models. We're a fast-moving startup, working with bleeding-edge tech at the intersection of mechanical engineering and AI.

We're looking for a versatile ML engineer to help us scale: develop and deploy custom models and prototype tools that make complex design work simpler and faster.

https://www.hestus.co/careers for more information

Abnormal AI | REMOTE (US, Canada) with optional offices in SF & NYC | https://grnh.se/y5i0cdv43us

I am an Engineering Manager in the Message Security Division. My team builds the platform for inbound email security, fighting cybercrime every day at a massive scale!

We are looking for a Staff MLE that will serve as a technical leader and subject matter expert, providing architectural guidance and mentorship across multiple machine learning workstreams. This role is central to our mission of protecting the world’s largest enterprises. You will be responsible for reasoning about the gaps in our multi-layered detection system and proposing generalizable ML solutions.

I'm also looking for exceptional backend software and distributed systems engineers. We have multiple open positions for each of these roles, working in Python, Golang, Spark and Kafka among other leading edge technologies.

Abnormal AI recently secured our series D round of financing at $250 million and is growing like a rocket in every way. If you're looking for personal as well as company growth, you won't find a better company than Abnormal AI!

Please see the following links for more details on the open positions and our general careers page link for all open positions across the company. We are hiring for engineering in other divisions as well!

Staff Software Engineer - Attack Detection

    Remote USA: https://grnh.se/ayvndq9o3us

Staff Software Engineer - Signals and Serving

    Remote USA: https://grnh.se/y5i0cdv43us

Software Engineer II - Scoring Orchestration

    Remote USA: https://grnh.se/y5w71n2s3us

    Remote Canada: https://grnh.se/hmh78zsg3us

Littlebird | Senior MLE + Senior Swift Engineers | Remote (global) | https://littlebird.ai/

Littlebird is working on a digital twin for Mac + Android to make anyone more productive, no matter what apps they use. Our team is well funded (~$5M+ seed) and remote-first, and passionate about building a product anyone can use. We're hiring developers with a passion for engineering-led cultures, knowledge graphs, search, contextual understanding, and designing infrastructure that can scale.

Core stack: Typescript, React, Swift, python, Postgres, AWS, some Rust

Apply here:

Senior Applied AI Engineer: https://scarlet-magician-747.notion.site/Senior-AI-ML-Engine...

Senior Swift Engineer: https://scarlet-magician-747.notion.site/Senior-Swift-Engine...

Opsin Security | San Jose / SF Bay Area (Hybrid, 2–3 days on-site) | Full-time | https://opsinsecurity.com/careers

Opsin helps enterprises secure and deploy Enterprise Search/AI systems (e.g. Microsoft Copilot, Google Gemini) responsibly without exposing sensitive data. Venture-backed by Race Capital. You’ll work directly with the founders on a small (<10) person team shipping fast in a huge green-field space.

We are hiring for:

- Senior AI Engineer – 5 + yrs backend + 2 + yrs ML/LLM; Python, SQL, AWS/GCP experience; comp + eq (https://www.opsinsecurity.com/jobs/senior-engineer-ai-engine...)

- Senior Full-Stack Engineer – 4–8 yrs shipping product; React/Next.js + API & DB design + Nest.js; TypeScript, Python a plus; comp + eq (https://www.opsinsecurity.com/jobs/senior-engineer-full-stac...)

- Staff Backend Engineer – 8 + yrs building scalable systems + 2 + yrs technical leadership; architect data-driven services for LLM security; comp + eq (https://www.opsinsecurity.com/jobs/staff-engineer-backend)

- Founding Account Executive – full-cycle sales to CISOs/CIOs; 5 + yrs enterprise SaaS; cybersecurity/Microsoft ecosystem a plus; ~50% travel; comp + eq (https://www.opsinsecurity.com/jobs/founding-account-executiv...)

Tech stack: Python, TypeScript (Nest.js), React (Next.js), Postgres, Azure, modern LLM tooling

How to apply: email your résumé + a short note to careers@opsinsecurity.com with subject “HN – [role]”, or apply on our careers page.

I’m Shay Nehmad, Founding Engineer at the company. Happy to answer questions at shay@opsinsecurity.com or on LinkedIn

Duranta | https://www.getduranta.com/ | Seattle, WA | ONSITE | Full-time

Roles: Computer Vision Engineer

We are building software to help lawn care professionals & landscapers design, sell and maintain beautiful spaces. Millions of acres a year are converted into urban dwelling spaces, and we want to help make them as beautiful and as ecologically friendly as possible.

Duranta was founded a little more than a year ago. We are well funded and are expanding our team. Join us, as our second CV/ML engineer and help lead Duranta's computer vision efforts. You'll work on foundational models for aerial imagery understanding, using one of the largest aerial datasets ever assembled, and:

- Collaborate with the founders and a world-class CV/ML advisor to push the limits of aerial image understanding

- Architect scalable training & inference pipelines

- Build and refine models for fine-grained semantic and instance segmentation

- Drive experimentation and infrastructure for rapid iteration

- Help define our CV roadmap—from model architecture to dataset strategy to active learning

Stack: Python, PyTorch, Mask2Former, SwinV2, AWS, W&B

If you're interested in working with us, please apply online. Mention you're from HN and let us know why Duranta is of interest and what you've been working on lately.

Please apply on: https://jobs.lever.co/getduranta

Chestnut | Hiring multiple roles (across engineering) | San Francisco + Seattle hubs (hybrid) | https://jobs.ashbyhq.com/Chestnut

Massive opp. Chestnut is the first AI-native operating system for insurance distribution management, tackling a $100B+ spend pool in the largest industry in the U.S. Legacy software and manual processes dominate this space; Chestnut is the only modern platform enabling real-time data, automation, and agentic AI workflows that directly grow carrier revenue.

Our stack: Go, TypeScript/React, Postgres, Temporal, K8s, Dagster, LLMs.

******

We’re hiring:

** Forward Deployed Engineer – Work directly with customers to ship AI-powered workflows and integrations. https://jobs.ashbyhq.com/Chestnut/5d4fd1ec-60f3-4669-a2d2-31...

** Senior Software Engineer – Build core services, event-driven systems, and automation layers that scale. https://jobs.ashbyhq.com/Chestnut/fbbb7601-3d31-48b4-8639-75...

** Staff Software Engineer – Lead architecture and technical direction as we scale past enterprise workloads. https://jobs.ashbyhq.com/Chestnut/f28c5ee5-12aa-4e7b-b0ea-f5...

** Engineer [Agent Orchestration] – Focus on applied systems: multi-agent coordination, workflow automation, retrieval, and tool use. Bridge research to production and design orchestration layers for enterprise reliability. https://jobs.ashbyhq.com/Chestnut/075a0010-bfa5-489e-8808-e9...

** Engineer [ML + Agent Design] – Experiment with prompting, fine-tuning, and novel LLM techniques. Prototype new agent behaviors and push the boundaries of how models reason, interact, and automate in data-heavy domains. https://jobs.ashbyhq.com/Chestnut/0b6e2b45-fab9-47f2-8f10-30...

We’re also hiring for Product & Commercial Lead and Data + Infra roles (details on the site).

******

You'll work on the bleeding edge - embedding enterprise-grade agentic AI at scale. We're looking for engineers who thrive in fast-paced environments and want to make a meaningful impact.

More info + apply: https://jobs.ashbyhq.com/Chestnut

Myndstream | Hybrid London, UK | Full time | https://myndstream.com

Music for health and wellbeing - we're working with leading scientists at MIT, NYU and UPenn alongside a roster of composers to create validated music to improve health and wellbeing.

We are on course to enhance the effectiveness & efficacy of our music through the use of ML.

We've started with hospitality as a launchpad and are now moving into healthcare markets.

Core Stack: TypeScript, Rust (for low-level audio work), React, PostgreSQL, WebSockets, GCP

If you are enjoy ownership, autonomy, design patterns and are a pragmatic generalist then you will enjoy it here.

Hiring Founding Software Engineers in London, UK, - contact me via email: will [at] myndstream.com

krea.ai | Distributed Systems Eng. & Data Engineers | San Francisco (on-site), CA

I'm the cofounder of Krea (https://www.krea.ai), a startup in San Francisco building browser-based AI creative tools to improve the workflows of artists, designers, and creatives. Small team (~15); millions of active users; and we've raised over $83M from top silicon valley 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.

- Work with our research team to build ML pipelines and deploy models to make sense of raw data (example - find clean scenes within videos).

- Learn ML engineering from world-class researchers on a small tight-knit team. As you’re building data pipelines, you’ll contribute to foundation image, video, and world models from 0 → production, and see them used by millions of Krea users.

- Play with massive amounts of compute on huge Kubernetes GPU clusters; our main GPU cluster takes up an entire datacenter from our provider.

Our 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 deep experience with distributed systems, kubernetes, and existing ML or data experience (though not required!). Cool side projects are a green flag.

A few links about us:

- Technical report for FLUX.1 Krea, our latest text-to-image model → https://krea.ai/blog/flux-krea-open-source-release

- HN discussion around FLUX.1 Krea → https://news.ycombinator.com/item?id=44745555

- A cool demo by one of our users → https://x.com/syntonikka/status/1941198480820797921

You can contact me at d+hn@krea.ai (the +hn will bump your email in my inbox).

Radar Labs | Software Engineers (ML, AI, SRE, data platform, full-stack, mobile, security) | ONSITE in New York City | Full Time | https://radar.com - Radar Labs is the geo-location dev tool. - Doing 1B+ API calls per day

- Our main languages are Rust and TypeScript, we also use mobile and offline pipeline languages (Python, Scala, and Terraform).

- We're based in NYC with our HQ in Union Square and remote friendly.

Interesting things we're working on:

- HorizonDB, our Geospatial database written in Rust

- Precise indoor location more accurate than iOS and Android leveraging Ultra-Wideband and other sensors and ML.

- Extracting raw map data from satellite maps and the web leveraging ML and AI

- Anomaly detection to identify spoofed locations

- Mobile infrastructure that automatically configures itself optimizing battery-life and location accuracy for different use-cases over time

- Multi-Region AWS K8s deployment, 99.99%+ availability

- Frontend tools to visualize and debug location data at scale

Check out our jobs page here: https://radar.com/jobs#jobs If you have any questions, feel free to reply here or you can e-mail me at tim@radar.com

ko-br | Hiring across design, engineering, research and business development | https://ko-br.com | Onsite (London, UK or Cairo, Egypt)

It’s a shame that we have unbelievably good hardware like collaborative robots (cobots) that could transform warehouses and yet they still struggle with basic tasks like unloading mixed pallets. Why? Because today's software can't handle real-world chaos.

That's where we come in. At ko-br, we're building the AI brains that make robots truly adaptable. Our physical AI models tackle messy, unstructured problems starting with depalletizing of mixed boxes in dynamic warehouses. Think real-time adaptation to shifting pallets, mixed SKUs, and unexpected failures.

We're a deep tech startup at the crossroads of AI, robotics, and human-machine interaction. While warehouses are our first battlefield, our core mission is physical AI. So you need to be comfortable with the idea of pivoting to other sectors like education (ex: building robots for schools and universities).

Curious about our philosophy? Dive into our manifesto: https://ko-br.com/manifesto

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We're hiring generalists across design, engineering, research, and business development. If you thrive on agency: designing, building, and shipping products end-to-end, join u :).

We offer strong base salaries: £100k+. We don’t shy from offering large equities, following PG advise: https://www.paulgraham.com/equity.html

Apply here: https://ko-br.com/careers

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About me: Ex-Amazon/Meta. Built AI for everything from satellite imagery to nanotech, powered Alexa's vision, and led ML for WhatsApp.

—

P.S. We'll be in SF USA this fall, say hi if you're around :)

Cosuno | Senior Full Stack Developer (TypeScript) / Senior Machine Learning Engineer – Generative AI | Remote (EU) / Berlin | Full-time | https://www.cosuno.com

Cosuno is a fast-growing tech startup revolutionizing the construction industry with our digital platform for tenders and procurement. We use AI to analyze millions of price data points, helping construction companies create precise and efficient bids. We're looking to expand our team with creative minds who want to solve real-world problems and reshape a massive industry. We are an open-minded, collaborative, and international team.

We're hiring for two key senior roles:

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Senior Full Stack Developer (TypeScript)

Location: Remote (EU) / Berlin

Stack: TypeScript, React, Node.js, Cypress, Kubernetes, AWS

Mission: Take full ownership of features on both the frontend and backend of our product. You'll have the responsibility to extend and build upon our platform to make it more valuable, reliable, and maintainable. We value a trunk-based development workflow with daily releases, comprehensive end-to-end testing, and a solid CI/CD pipeline.

You have: 5+ years of hands-on engineering experience, substantial expertise in JavaScript/TypeScript, and experience with Node.js (React is a plus). You thrive in an agile environment and have a pragmatic, startup mindset.

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Senior Machine Learning Engineer – Generative AI

Location: Remote (EU) / Berlin

Mission: Own end-to-end ML workflows from data ingestion to production deployment. You will dive deep into core application domains like price prediction, two-sided market design (ranking/recommendations), or agentic workflows using state-of-the-art LLMs. A key part of your role will be establishing and enforcing MLOps and LLMops best practices.

You have: 5+ years of ML engineering experience, with at least one year working with LLMs. You possess strong Python skills, a proven track record of deploying containerized services (Docker, Kubernetes), and deep expertise in at least one of the following: deep learning (PyTorch, Transformers), ranking/matching algorithms, or LLMops (RAG, evals, fine-tuning).

Interested? To apply and for more detailed information, please see the full job descriptions on our careers page: https://www.cosuno.com/en/company

ko-br | Hring across design, engineering, research and business development | https://ko-br.com | Onsite (London, UK or Cairo, Egypt)

It’s a shame that we have unbelievably good hardware like cobots (collaborative robots) but we can’t get them to unstack pallets of boxes reliably because of the software.

At ko-br, we’re solving this software bottleneck with AI. We build physical AI models to power robots and make them adaptable. Our focus today is on cobots and using them to automate mundane hard problems like depalletizing of mixed-pallets.

We’re a deep tech startup at the intersection of AI, robotics and HMI. Our focus will always be on physical AI. So you need to be comfortable with the idea of pivoting to other sectors like education (ex: building robots for schools and universities).

Please have a read through our manifesto: https://ko-br.com/manifesto

—

We’re looking for ppl who demonstrate agency in designing, building and shipping products.

We’re hiring for several generalist roles across design, engineering, research and business development. If the above sounds interesting, please apply here: https://ko-br.com/careers

We offer strong base salaries: £100k+. We don’t shy from offering large equities, following PG advise: https://www.paulgraham.com/equity.html

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About me: Ex-Amazon/Meta. Built AI for satellite imagery to nanotech SEM, powered Alexa’s vision, led ML for WhatsApp.

—

We will be in SF in Q4 come say hi :)

SmarterDx | 150-250k+ + equity + benefits | Remote (US only) | Multiple roles | https://smarterdx.com/careers

We build clinical AI that empowers hospitals to analyze the complete record of every patient to fully capture the value of care delivered. Founded by physicians in 2020, our proprietary AI platform understands the nuances of clinical reasoning, enabling hospitals to accurately reflect every patient visit for fair reimbursement. By doing so, hospitals can recover millions in earned revenue, enhance care outcome and quality metrics, and optimize healthcare operations.

The current team is very high functioning (MD + data scientist combos, former ASF board member, Google and Amazon engineers, Stanford LLM researchers, etc.) and initially scaled the company to $1MM+ in contracted revenue without raising capital.

SmarterDx recently became part of Smarter Technologies as part of a $1.1B deal by New Mountain Capital, a leading growth-oriented investment firm. We have been backed by top investors including Floodgate (Lyft, Twitch, Twitter), Transformation Capital, and Bessemer for a total of $71M, including our $50M Series B, and are experiencing an incredible growth trajectory customer and revenue wise with no signs of slowing down with 150% YoY headcount growth! This time last year, we were at ~90 employees, and are above 225 as of today!

We are looking for: Senior Platform Engineers - Staff and Senior SWEs, Full Stack and Backend focused - Staff and Sr ML Engineers - An Engineering Manager for our MLE team - A Director of Engineering for our Product groups - Staff Data Scientists - Senior Data Analysts - More!

We have PMF, and it's time to scale! For more and to apply, see https://smarterdx.com/careers

Shortform | REMOTE | Full-stack Engineer | Full-time / Part-time | $120-200k

https://www.shortform.com/

Do you feel overwhelmed by the amount of stuff to learn? Do you have hundreds of books and articles in your to-read list, but wish you could extract the main ideas faster?

The goal of Shortform is to make the world's best ideas more accessible. We started by creating the world's best book guides, with in-depth chapter-by-chapter summaries, original insights building on the book, and distillation of ideas into actionables. They're like superpowered book summaries.

Our ultimate goal is to index every idea on Earth and make sense of it. Specifically, we want to summarize and contextualize every meaningful idea published each day, in every form of media (books, articles, podcasts, videos, news, research papers). Illustrative ideas include a news summarizer that shows the entire spectrum of opinions on a topic to help avoid polarization, and mini-courses that draw from the best sources across media to teach a topic (eg to learn negotiation, start with this book, then listen to this interview, then see these news articles for the principles at work, do these exercises).

If ideas like these interest you, please apply.

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Company status: We launched 6 years ago. Shortform was funded by the founder (who has built multiple bootstrapped profitable companies in the past) and has taken on no outside investment. Our financials allow us to be profitable, but currently we're reinvesting in growth. Engineering team consists of 10 full-stack engineers.

Technology: Vue.js on frontend, Flask / Python on backend, with heavy R&D in AI / LLM / GPT. (Keywords for searchers with tech flexibility: Angular, React, Django | BERT, LLaMA, Natural Language Processing / NLP, Large Language Models, ML)

About the role: Ideally you're fullstack on the web, and comfortable on both front-end and back-end. Position is remote (current team is worldwide). Fulltime roles preferred; hours negotiable for strong candidates. We're able to pay competitive market salaries (i.e. not decreased by equity).

Email jobs+engineerhn@shortform.com to get more details about the company, what we're building, and the application process. In your email, please discuss your experience for our stack, and also your favorite non-fiction book (to help us screen spam emails).