FunnelStory | Principal Engineer, AI Systems | Remote (India) | Full-Time | funnelstory.ai

FunnelStory builds a queryable context graph over enterprise data — the infrastructure layer that lets AI agents reason over live customer intelligence. We've built a federated query engine purpose-built for agents, ML models from scratch in Go (health scoring, cohort expansion, process mining, Markov chains, Genetic Pareto optimization), and on-prem deployment infrastructure for enterprise customers. All on a deterministically tested backend.

We need engineers who go deep. The kind who read academic papers to build something novel, then hunt down a performance bottleneck five layers deep in the stack. Go is preferred but not required. Strong math and systems engineering background is a plus. What's required: ability to solve hard problems, use AI tooling to add real value (not slop), and drive work forward independently.

Please reach out to me directly at preetam @ funnelstory.ai with "HN" in the subject.

Radar Labs | Software Engineers (SRE, data platform, backend, full-stack, mobile) | Remote (US), NYC | Full Time | https://radar.com

- Radar 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 (US)

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, other mobile sensors and ML.

- 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

Kraken Tech | Senior Software Engineer - AI Foundations | London, Paris, Berlin, Tokyo, New York, Tel Aviv, Remote | Full Time | https://kraken.tech

Help us use technology to make a big green dent in the universe!

Kraken powers some of the most innovative global developments in energy.

We’re a technology company focused on creating a smart, sustainable energy system. From optimising renewable generation, creating a more intelligent grid and enabling utilities to provide excellent customer experiences, our operating system for energy is transforming the industry around the world in a way that benefits everyone.

You’ll work in the AI Foundations team which exists to enable AI across the entire company. We build the shared platforms, tooling and patterns that enable engineering & product teams to safely, reliably and efficiently use machine learning and generative AI across the business. This is not a research lab. This is a delivery-focused team that sits at the intersection of platform engineering, applied ML and developer enablement.

Apply through the link below, or send me an email to omer.korner at our domain name.

https://jobs.lever.co/kraken123/d57f5f0e-97e5-4d64-a78c-ff12...

Prior Labs | Berlin / Freiburg / NYC | ONSITE | Full-time | Multiple Roles

Tables power every financial model, clinical trial, and scientific experiment, but deep learning has mostly ignored them. No natural sequence, no spatial structure, no shared vocabulary across datasets. LLM architectures don't transfer. We built TabPFN, the first foundation model that actually understands tabular data (published in Nature, 3M+ downloads, new SOTA for tabular ML). The hardest problems are still open.

The model is half the product. The other half - training infrastructure, real-time serving, developer platform, reliability - is what turns a research breakthrough into something enterprises trust in production. We're hiring across both.

ML Engineer, Cloud Platform — Design and scale the core infrastructure for serving and finetuning foundation models in production. Early enough that you're making the architecture decisions, not inheriting them.

ML Engineer, Training Infrastructure — Own GPU infrastructure, distributed training performance, and the developer productivity layer (CI, experiment tracking, model registry) that keeps research moving fast.

Full Stack Engineer, ML Platform — Build the product that puts tabular foundation models in users' hands, from data upload through inference and results. You'll work across frontend, backend, and directly with the research team to turn new model capabilities into production features.

Research Engineer, Foundation Model — Design experiments, run ablations, build training infrastructure, contribute to papers. Research engineers here aren't supporting scientists — they are the science team.

Also hiring: Research Scientist, Applied Scientist, Forward Deployed ML Engineer, Developer Relations Engineer, AE, BDR.

20-person team selected from thousands applicants. Backgrounds from Jane Street, Google, CERN, G-Research. Led by Frank Hutter, advised by Yann LeCun and Bernhard Schölkopf. €9M pre-seed from Balderton, with backing from leaders at Hugging Face, DeepMind, and Black Forest Labs. Comp competitive with top AI labs, meaningful equity.

All roles: https://jobs.priorlabs.ai

Prior Labs | Full Stack Engineer, ML Platform Hiring: Berlin | Salary: Competitive with top AI labs + meaningful equity | Relocation support | Full Time

Building the product that puts tabular foundation models into users' hands. React, FastAPI, Postgres. You'll work across frontend, backend, and directly with researchers shipping new model capabilities to production. 3+ years full stack, strong TypeScript and Python, experience with data-intensive applications. https://jobs.priorlabs.ai

VLM Run (https://vlm.run) | 1x Product + 1x ML Staff Engineer | Santa Clara, CA (HQ)

We're building the inference and orchestration layer for production Vision-Language Models. We care deeply about fast and ergonomic visual inference, reliable structured outputs, and the observability to iterate on them.

A few things we've shipped recently you can poke at:

  1. Orion: our visual agent that reasons and acts over images, video, and documents. Chat at https://chat.vlm.run.
  2. mm-ctx: a Unix-style multimodal CLI (find, cat, grep, wc) that gives coding agents real context over images, video, and PDFs. Rust core, Python devex. 
  3. vlmbench:  single-file CLI for benchmarking VLM inference (TTFT, TPOT, throughput) across vLLM, Ollama, and SGLang.

Apply: https://app.dover.com/jobs/vlm-run

Email hiring "at" vlm.run with your GitHub + a couple recent projects.

[1] https://chat.vlm.run

[2] https://pypi.org/project/mm-ctx | https://www.vlm.run/open-source/mm

[3] https://github.com/vlm-run/vlmbench | https://www.vlm.run/open-source/vlmbench

ML6 | Machine Learning Engineer, Data Engineer | Python, TensorFlow, PyTorch, GCP, AWS, Azure | Full-time | Amsterdam, Berlin, Munich, Eindhoven, Ghent (EU) On-site/hybrid

We are a Machine Learning consulting company that builds end-to-end Machine Learning solutions. By applying the latest AI research, we keep our clients at the forefront of innovation. If you are interested check out: https://www.ml6.eu/knowledge-hub/blog and https://www.ml6.eu/customers/cases

Work on innovative projects for the biggest clients across Europe such as Randstad, ASML, FUNKE, and many more! Whether it’s about leveraging LLMs to improve customer support, building data lakes on cloud platforms to improve storage or implementing models using sensor data for quality control. You can find it all at ML6. You will mostly work with Python and a range of ML frameworks such as TensorFlow, PyTorch, or HuggingFace Transformers to solve hard Machine Learning tasks and help bring these application into production by building data pipelines and cloud infrastructure on all of the major cloud providers (GCP, AWS, Azure).

Open roles include:

• Senior/medior AI Engineer

• Senior AI Project Manager

• Chief Product Owner

and many more!

Apply now at the https://jobs.ml6.eu/

Higharc | REMOTE | Full-time | https://higharc.com

Thousands of homes have been built with Higharc since 2022. We’re changing the way homebuilders design, sell, estimate, and build, resulting in better, more affordable homes.

I’m starting a new Labs team to expand our platform and explore new markets in residential construction. I’m especially looking for a rare, entrepreneurial product engineer:

* Staff Software Engineer - https://jobs.ashbyhq.com/higharc/c620be3c-6529-4776-9f02-da1...

We’re also hiring across all teams, from fullstack generalists to ML engineers, keenly interested in folks looking for deep, technical challenges:

* Director of Engineering, Studio - https://jobs.ashbyhq.com/higharc/469e843e-58c4-4e07-91be-d9a...

* Senior Software Engineer, Geometric Modeling/CAD - https://jobs.ashbyhq.com/higharc/d5fbcbf0-0b50-4561-87e6-71c...

* More roles here https://www.higharc.com/company/careers

This is an exceptional opportunity to work on something with real-world impact, with a team of talented & passionate folks across a wide range of domains. We are ~200 people across the world (mostly US) and growing quickly. We were recently named to Fast Company’s Most Innovative Companies in 2026.

Thanks to everyone who previously reached out and/or applied (all 1300+ of you)

Senior ML Engineer | Ping Data Intelligence | REMOTE or ONSITE (Miami, FL) | Full-Time | https://www.pingintel.com Ping Data Intelligence is a dynamic startup based in Miami, FL, revolutionizing the property insurance sector with cutting-edge web technologies and ML-powered tools. Despite rapid growth, we retain the stability of a self-funded, profitable company. Role Overview: As a Senior ML Engineer at Ping, you will sit at the intersection of research and data engineering — designing, training, and deploying machine learning models that power our property attribute classification, document extraction, and geospatial products. This is a hands-on role for someone who can read a paper in the morning, prototype an idea by lunch, and ship it to production by end of week. You will own ML systems end-to-end: from data pipeline design and feature engineering through model training, evaluation, and production deployment. The role is remote-friendly, with the option to work onsite at our Miami, FL office.

Responsibilities: Design, train, fine-tune, and evaluate ML models (LLMs, classification, sequence models) for property insurance. Build and maintain robust data pipelines that feed training, evaluation, and inference workloads at scale. Develop rigorous evaluation frameworks — establish metrics, build rater alignment processes, and apply statistical methods to determine when a candidate model is genuinely better than production. Run controlled experiments, ablations, and A/B tests; communicate findings clearly with appropriate uncertainty quantification. Deploy models to production and own their performance, drift monitoring, and iteration cycles. Collaborate with the engineering team to integrate ML services into our backend (Django/Python) and frontend (React/TypeScript) products. Stay current with the ML literature and translate relevant advances into practical improvements for our products.

Required:

PhD in Statistics, Machine Learning, Computer Science, Applied Mathematics, or a closely related quantitative field (or equivalent research experience with a strong publication or production track record). Strong foundation in statistics — experimental design, hypothesis testing, Bayesian methods, and uncertainty quantification. Minimum 5 years of combined research and applied ML experience, with a proven track record of shipping models to production. Deep proficiency in Python and the modern ML stack (PyTorch, Hugging Face, scikit-learn, pandas, NumPy). Hands-on experience with LLMs, including fine-tuning (LoRA/QLoRA, full fine-tunes), prompt engineering, and evaluation. Strong data engineering skills — comfort building reliable pipelines over messy real-world data, working with SQL and columnar formats. Excellent debugging, problem-solving, and written communication skills.

Why Join Ping: Work directly on ML systems that touch real production traffic from day one. Collaborate with a small, senior team of insurance and tech veterans building products that are reshaping the property insurance industry. Enjoy the autonomy of a research role with the impact of an applied one — your models will be in production, used by real customers, and you will see the results immediately. Please apply at jobs@pingintel.com

Espresso AI | Staff ML, Staff Infra, FDE | Brooklyn or San Francisco | Full time

We're using LLMs to build neural optimizers, neural scheduling systems, and neural workload tuners. (If you're ex-Google, you can think of it like Borg powered by LLMs.)

Today we use ML to make data warehouses and spark jobs more efficient. We're hiring staff ML engineers to train models that can understand how much compute a job needs, how it scales to larger machines, whether a machine can run more jobs, and so on; and staff infra engineers to take those models and deploy them on real-world production systems.

We're also looking for FDEs who can help us talk to users and run pilots. This is a pretty technical role (you need to be able to do data analysis and debug in prod) that's also user-facing - it should be a good fit for a former (or future) technical founder.

If this sounds cool, please email me: ben [at] espresso [dot] ai

Stellar Science | Hybrid (USA) Albuquerque NM, Washington DC (Tysons VA), Dayton OH | Full time, interns/co-ops | U.S. citizenship required | https://www.stellarscience.com

Company: We're a small scientific software development company that develops custom scientific and engineering analysis applications in domains including: space situational awareness (monitoring the locations, health and status of on-orbit satellites), image simulation, high power microwave systems, modeling and simulation, laser systems modeling, AI/ML including physics-informed neural networks (PINN), human body thermoregulation, computer vision and image processing, high performance computing (HPC), computer aided design (CAD), and more. All exciting applications and no CRUD. We emphasize high quality code and lightweight processes that free software engineers to be productive.

Experience: Except for interns, we currently require a Bachelors degree in physics, engineering, math, computer science, or a related field. Masters or PhD is a plus. (Roughly 25% of our staff have PhDs.)

Technologies: Lots of C++23, Qt 6.9, CMake, git, OpenGL, CUDA, Boost, Jenkins. Windows and Linux, msvc/gcc/clang/clangcl. AI/ML and analysis projects use Python and C++. Web projects use Java and Typescript/React.

Apply online: at https://www.stellarscience.com/careers/.

Cardog | Toronto, ON | Remote (Canada) | Full-time

AI-powered automotive platform — we're building the infrastructure layer for vehicle data, from VIN decoding to market intelligence.

Looking for: iOS/Mobile, Full-Stack, AI/ML, Data Engineers

Stack: React Native/Expo, Next.js, Hono, Cloudflare Workers, PostgreSQL, TypeScript everywhere

https://cardog.app/careers

fal | San Francisco, CA / Remote | Full-time

We are on a mission to build world’s first generative media platform for developers. We are running inference on tens of thousands of GPUs, and looking for people (in all functions) to help us scale it to hundreds of thousands.

Featured Roles:

- Distributed Systems Engineer, https://fal.ai/careers/4009192009

- Virtualization Engineer, https://fal.ai/careers/4146037009

- ML Performance & Systems Engineer, https://fal.ai/careers/4009191009

Remaining: https://fal.ai/careers

Starbridge | Senior Engineers (Kotlin/Java/React/Typescript) | NYC or Remote | Full-time | starbridge.ai Starbridge is building an AI platform that turns large-scale public and enterprise data into reliable sales insights. We are early, moving fast, and building from zero to one, so this role will have huge ownership and product impact.

Backend Engineer: (looking for Kotlin/Java/Scala experience). You'll work across the backend: building enterprise integrations, large-scale scraping and parsing pipelines, and systems that let users apply LLMs to millions of documents to generate insights at scale.

AI Engineer: Applied AI plus strong software engineering. You will build, evaluate, and deploy LLM-driven features like deep document analysis and interactive chat, working with models from OpenAI, Anthropic, and Gemini. Expect hands-on Python, ML system design, experimentation, and production reliability. Bonus for RAG depth and frameworks like LangChain, LlamaIndex, or Hugging Face.

We're looking to build our in-person team in NYC but also open to remote!

Apply: https://starbridge.ai/careers and mention HackerNews or email recruiting@starbridge.ai with your resume.

Innolitics | https://innolitics.com | Medical Device AI/ML Engineer | REMOTE | Full-Time | $120,000 - $150,000 + benefits | US Only |

Innolitics helps companies build and FDA-clear healthcare AI.

Requires at least 3 years of full-time experience in AI/ML development work.

Apply here: https://innolitics.com/join/medical-device-ai-ml-engineer/

River | Senior + Staff Engineers (Elixir, React, ML/AI) | SF or NYC or REMOTE (US, Europe, South America) | Full-Time | $150K-$250K + equity | https://jobs.ashbyhq.com/river?utm_source=Zp9nJyqvd4

I'm Alex, founder and CEO of River. I also wrote the first line of code and still ship PRs.

River is a client-first Bitcoin-only financial institution building the financial app people use every day to save in bitcoin and spend in dollars. We custody over 25,000 BTC, serve individuals and businesses across the U.S., and are profitable. We publish cryptographic proof of reserves monthly and our company financials annually.

Here's what our engineering team is working on:

  - Real-time Bitcoin and USD payments, trading, and settlement on an Elixir monolith with a unified GraphQL API
  - Next-generation Bitcoin custody with quorum signing, key ceremonies, and geo-redundant infrastructure
  - Scaling our ML/AI systems (Python, PyTorch, XGBoost, LLMs) to automate operations and tackle fraud/risk
  - A ground-up React and React Native rewrite of our consumer app
  - Porting our Lightning Network infrastructure from Go into Elixir

We're hiring:

  - Staff Software Engineer (Elixir) | $200K-$250K
  - Senior Software Engineer (React, Full-stack) | $150K-$220K
  - Senior/Staff Machine Learning Engineer | $200K-$250K

Apply at https://jobs.ashbyhq.com/river?utm_source=Zp9nJyqvd4

ko-br | Robotics, Computer Vision, Imitation Learning, Reinforcement Learning Engineers & Reserchers | https://ko-br.com | Cairo, Egypt & London, UK

We build Physical AI models deployable today in warehouses to solve mundane tasks like palletizing. Our tech lets robotic arms adapt to mixed SKUs, grip slips, and chaotic environments in real time.

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

We want you if you solve problems like an owner (no ego, no blockers). Don’t say "it won’t work." Try it. Validate it. Ship it.

Engineering roles:

  — You're hands-on, no theory, just building
  — Experienced engineer? Great! Recent grad/PhD? Don't get discouraged, apply if you're itching to ship real products

Why join?

  — Generous base + equity
  — Work with state-of-the-art AI and real robots (UR/ABB/KUKA/FANUC).
  — Build tech that solves valuable problems today.

About me: Ex-Amazon/Meta. Built AI from satellite imagery to nanotech SEM, powered Alexa’s vision, led ML for WhatsApp. Now building robots that adapt to chaos.

https://www.linkedin.com/in/ahmadbaracat

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

Cloudflare | Systems or ML Engineer, Workers AI | Austin, TX or London, UK or San Francisco, CA (Hybrid) | Full-Time | https://cloudflare.com

Cloudflare is building across the entire AI stack. Here are some exciting things that we have launched recently:

- Kimi k2.5: https://blog.cloudflare.com/workers-ai-large-models/

- Kimi Performance Improvements: https://blog.cloudflare.com/high-performance-llms/

- Kimi k2.6 Speculative Decoding and Shared KV Cache: https://x.com/kevin_flansburg/status/2050238819065299110

- Unweight Tensor Compression: https://blog.cloudflare.com/unweight-tensor-compression/

- Code Mode MCP Servers: https://blog.cloudflare.com/code-mode/

- Agents SDK: https://blog.cloudflare.com/building-agents-with-openai-and-...

- Agent Memory: https://blog.cloudflare.com/introducing-agent-memory/

- Internal AI Tooling: https://blog.cloudflare.com/internal-ai-engineering-stack/

- Release Cog v0.19: https://github.com/replicate/cog/releases/tag/v0.19.0

- Dynamic Worker Sandboxes: https://blog.cloudflare.com/dynamic-workers/

- Dynamic Workflows: https://blog.cloudflare.com/dynamic-workflows/

We are looking for systems and ML engineers to help build our edge inference platform:

- Senior Systems Engineer, Workers AI - https://job-boards.greenhouse.io/cloudflare/jobs/7764827?gh_...

- Senior / Principal Machine Learning Engineer, Workers AI- https://job-boards.greenhouse.io/cloudflare/jobs/6297179?gh_...

Foxglove | Onsite (San Francisco) + Remote | Full Time | https://foxglove.dev/

Foxglove is the leading data infrastructure & observability platform for robotics & physical AI.

Prior experience in the autonomous vehicle or robotics industry is a bonus, but not required.

Many open roles:

- Senior Rust Engineer

- Senior ML Engineer

- Senior Frontend Engineer (Visualization, WebGL, WASM)

- Solutions Engineer, Data Infrastructure

- Product Manager, Data + ML

- Head of Product Marketing

- Account Executive

Email in profile.

https://foxglove.dev/careers

Sumble is the newco from the founders of Kaggle. We are hiring full stack engineers, ai/ml engineers and growth/marketing. Can view our roles and apply here: https://sumble-inc.workable.com/ We are building a knowledge graph from web data with a first focus on data for go-to-market teams.

We use web data to identify things like org structure, tech stack, and key projects (e.g., GenAI initiatives, cloud migrations). Our product already has strong product-market fit, early revenue, and happy customers — and now we’re ready to accelerate.

Our long-term vision is to become the world's best data vendor. Try the product at sumble.com.

We are a team of 25 with experience at companies such as Google, Meta, Stack Overflow, Rippling, Snowflake, Confluent and Kaggle.

We raised $38.5MM from Coatue, Canaan, Square Peg Capital https://techcrunch.com/2025/10/22/sumble-emerges-from-stealt...

SonarMD | Senior Full Stack Engineer | Remote (US East/Central) | $180-220k+ | Unlimited PTO, healthcare, 5% bonus, 401k match

Healthcare AI company. We monitor IBD patients between doctor visits and catch clinical deterioration before it becomes an ER visit. Real patients, real outcomes, peer-reviewed studies.

Node/Express, React/React Native, Python, MongoDB Atlas, Postgres, AWS (EC2, Ansible, the real stuff, not just Lambda bingo). HIPAA/SOC2. Team of 5. Lots of data. More AI and ML in prod every other week. You will contribute to 5 and 6 figure mistakes and also the 6 and 7 figure outcomes. It's just another day in the life. You will discover your gaps quickly and then you get to close them. You will have real access and real responsibility. Your decisions will have meaningful impact on other people's lives. Some people struggle with that. You can't. You will own things. You will learn things. We will build things.

I am six interviews deep into candidates reading me AWS product pages after being asked about their approach to enrichment. If you have ever debugged something in production and have an opinion about literally anything, please talk to me. If you're interested: resume to eng.hiring@sonarmd.com.

If you're really interested: send a cover letter in .md format (no AI, I will know) with answers to: - Last 3 things you personally shipped to prod, preferably ones that failed or had unexpected results - Most recent thing you learned but are too embarrassed to admit you didn't already know - Your 3 biggest pain points working with AI/LLMs/agents - Most recent thing you built that you're legitimately proud of - Preferred tech stack - How many full, 8-hour-day, 5-day-a-week production shipping years you got under your belt, for real

The .md skips the line. I'll read it before anything else in the inbox.