281–290 of 394 posts
WorkHero https://workhero.pro | Senior SWE, AI Automation Engr, Senior PM | REMOTE (US+INTL for eng, US for product & automations) WorkHero is building the AI-powered back office for the skilled trades, starting with HVAC. Small contractors spend their nights on rebates, permits, equipment registrations, billing, and collections. We pair dedicated office managers with AI agents that take this work over end to end. We…
NetBird | Berlin, Germany (or remote, CET/CEST overlap) | Full-time https://netbird.io/careers NetBird is open source networking and access control WireGuard-based overlay networks with zero-config peer-to-peer connectivity. Open source, built in Europe, used by thousands of teams worldwide. We're a small and growing team going up against the incumbents in network security. Post Series A. - Engineering Manager : You…
I run the engineering team at Neon, the commerce platform for mobile games. We're working on making it easier for game developers to monetize their games. We're going after the Apple/Google duopoly by creating ways for developers to reach their players directly and avoid the App Store tax.
We're a small team, and growing quickly. We just raised our Series A and are focused on expanding to more countries, growing our commerce offering, and scaling the core product.
We're looking for senior engineers looking for full-stack, product work. The stuff you build will ship directly to our customers (game developers) and their customers (game players). There's a lot to own and manage, and you'll sit alongside a world-class team in doing so.
You can apply here: https://jobs.ashbyhq.com/Neon/86131334-4a12-4e86-8b53-d81651... - I review every resume myself. (Don't forget to add your favorite game!)
We build foundation models for tabular data. Deep learning transformed text and images but mostly skipped tables, which are still the data 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.
Our approach: pre-train a transformer on millions of synthetic datasets sampled from causal-structure priors. The whole dataset goes in as context, predictions come out in one forward pass. No per-dataset training, no hyperparameter tuning, seconds instead of hours. TabPFN v2 was published in Nature and set a new state of the art; TabPFN-3 scales to 10M rows. 4M+ downloads, 8k+ GitHub stars, in production from liquid biopsy to rail maintenance. Code: https://github.com/PriorLabs/TabPFN
Since July we're an independent lab inside SAP, with more than EUR 1B committed over four years. Models stay open, research stays public, same team and offices.
Roles (most can sit in any of the three offices):
- 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 per year on compute; you own that budget.
- Research Scientist, Foundation Model: drive the model agenda - novel architectures, scaling from 10K to 1M+ samples, multimodal and causal directions. PhD plus top-venue publications, or equivalent.
- Research Engineer, Foundation Model: same agenda from the engineering side. You design experiments, write the training and eval infra, and co-author the papers.
- ML Engineer, Cloud Platform: design and scale the backend that serves and finetunes the models. Python/FastAPI, Terraform, K8s.
- Full Stack Engineer, ML Platform: build the product end to end. TypeScript + Python, React/FastAPI/Postgres.
Also hiring: Applied Scientist, Forward Deployed ML Engineer, Research Scientist (Foundational Data Science), PhD research interns, plus GTM and ops roles.
~40 people with backgrounds from Google, DeepMind, Jane Street, Goldman, G-Research, CERN. Led by Frank Hutter, advised by Bernhard Schölkopf and Yann LeCun. Comp competitive with top AI labs.
All roles and applications: https://jobs.ashbyhq.com/prior-labs
Questions welcome in the replies here.
The best developers don't wait for a customer to tell them something's broken. They catch it first, in the pull request, in staging, or in the checkout flow at 3am, before a single user notices. That instinct is Checkly's whole reason to exist. We give developers and their agents the tools to own reliability the way they own their code: monitoring defined as code, powered by OpenTelemetry and Playwright, versioned and reviewed like everything else they ship. From pull request to post-mortem, in one place.
Open roles:
- Product Manager (DevTools & AI Reliability) - remote UTC-3 to UTC+3 - Senior Sales Engineer - remote Europe (UTC+1 to UTC+2) - Sales Engineer - remote US, Eastern time zone
All roles, compensation and applications: https://jobs.ashbyhq.com/checkly?utm_source=hn
A human, either me or the Hiring Manager, will review your application!
We’re hiring experienced software engineers for fully remote positions open to candidates based in the US.
We’re looking for engineers with 3+ years of professional experience in areas including:
• Full-Stack Engineering • Backend / Frontend Engineering • Python • Cloud Infrastructure / DevOps • AI / Machine Learning • Data Engineering
Candidates should have strong hands-on engineering experience and be comfortable working independently in a remote environment.
To apply, send your resume to hassanonewaytech@gmail.com.
Cora AI | Founding Full Stack / Applied AI Engineer | REMOTE (US ONLY, LA/SF preferred) | Full-time | $190–250k + early equity We build customer success agents and account intelligence that do the actual manual work — so CS teams can focus on the relationship-driven work that drives growth. What we're looking for: - You build with AI IDEs (Cursor, Claude Code) as a force multiplier — not occasionally, as your default…
Republic Services is the second largest environmental services companies in North America — ~40K employees, thousands of trucks, hundreds of facilities, and a mountain of operational data that has never had an AI layer on top of it. We have a backlog of hundreds of Agentic AI ideas that we need to deliver and a foundation of ontologies, evaluations, guardrails, etc... that we need to build.
We're hiring a Staff Engineer now to be the first hire and plan to expand the team aggressively. You will own that platform end to end, not manage the people.
What you'll work on
- Agent orchestration: tool calling, planner/executor and multi-agent patterns, MCP/A2A integrations with enterprise systems
- Making enterprise context reliably available at inference time — retrieval, memory, hybrid search, reranking, access controls
- LLMOps that isn't hand-wavy: evals and golden datasets, prompt/agent versioning, tracing, token and cost budgets, CI/CD for agents
- Safety in a regulated enterprise: prompt injection, data exfiltration, PII handling, human-in-the-loop, audit logging
You should have
- 7–10+ years building and scaling production systems, with recent, hands-on GenAI/agentic work in production (not just demos)
- Shipped agents or LLM pipelines at scale
- Solid data chops — vector stores, chunking, hybrid search, knowing when retrieval is the wrong answer
- Cloud experience (we're primarily AWS / Bedrock); comfortable with both containers and serverless
- Track record of technical leadership and mentoring without needing a manager title
Nice to have: LangGraph / Semantic Kernel / PydanticAI, GraphRAG, knowledge graphs, LangFuse/LangSmith, multimodal.
Comp & benefits: $175k is our midpoint for salary + 20% annual target bonus, 401(k) with company match, ESPP, medical/dental/vision, PTO. Remote eligible, prefer AZ timezones +/-1. Not sponsorship eligible.
Why you should want to work here: We build cool stuff
email me (jgardner@republicservices.com) directly with the most interesting agent you've shipped.
CoVar | Durham, NC and McLean, VA | https://covar.com/ | Full-time | HYBRID (3 days in office per week) CoVar is a small R&D company specializing in AI/ML and software development for defense and healthcare. Bootstrapped and profitable. We're looking for a jack-of-all-trades who can: prototype computer vision algorithms, build Python web services, wrangle large sets of data from disparate classes of sensors, ... any…