We are a key center of AI expertise within the US government, and are hiring programmers, ML engineers & scientists, and more. I've found the past 13 months working here impactful and rewarding.
The Team: We have a unique concentration of talent in USG, including former frontier lab technical staff, folks from MIT/Berkeley/Harvard ML PhD programs, world-class cyber & bio experts, and a Y Combinator founder of multi-million dollar startups. Our staff has previously co-invented RLHF, discovered the reversal curse, and built Inspect and RStudio.
The work: Developing AI capability and security evaluations (e.g. cyber capabilities, agent hijacking, backdoor detection), red-teaming, and briefing leaders across government. Our mandate includes monitoring frontier AI for national security risks.
Apply here: https://www.nist.gov/caisi/careers-caisi (first posting closes Feb 17)
We help manufacturing facilities to be compliant with the environmental regulations, reduce their emissions, and become better stewards of the Earth for generations to come.
We are searching for an intermediate/senior full-stack engineer. You will work in a small team of talented developers, and be a part of decision making, starting from the user problems we are trying to solve, all the way through technical implementation, and UX design. Just a slice of technologies we use: Node, TypeScript, Postgres, React, React Native, event-driven architecture with RabbitMQ, analytics with Sigma and Snowflake data warehouse integration.
Mapistry is committed to work-life balance, it has flexible hours and vacation. The work never failed to provide me with plenty of opportunities to grow, and challenges to solve as environmental regulations can get quite complex depending on an industry or specific manufacturing processes. No worries there is a team of domain experts that is a delight to work with!
Wanna join the team, send us your resume at https://jobs.gusto.com/postings/mapistry-full-stack-software...
Knit Health is building a clinical foundation model to improve how healthcare is delivered. We combine AI systems engineering with clinical domain expertise to develop reliable models and workflows that can be integrated into provider environments. Knit is venture-backed and led by a team with UC Berkeley, Stanford, and UCSF research roots. We work with multiple large US health systems and data partners.
We are looking for AI/ML Engineers to contribute to foundation models (1+ years experience, SF only), Senior Data Scientists (5+ years), and Product Engineers (3+ years). Join a tight-knit team where you’ll shape the technical direction of our models and drive the evolution of a product suite that improves patient health outcomes at scale.
To apply: aamar AT knit.health (Subject: "HN job post")
Halfpricesoft has quietly dominated the small business payroll and tax compliance space for 20 years. We are a profitable, bootstrapped company with thousands of customers and a massive track record of stability.
We are entering a new era and transitioning our proven legacy solutions into a modern, cloud-native suite. We are looking for a Founding Engineer to serve as our technical partner in this expansion. You will report directly to the Founder, own the technical roadmap, and help build the team.
The Role:
Architect & Build: Lead the transition from legacy systems to a modern cloud architecture.
Infrastructure: Manage and scale our Kubernetes deployment.
Leadership: Set hiring standards and mentor future engineers.
Tech Stack: Python (Django), React, Kubernetes, Cloud-native.
Why join?
Real Impact: You aren't a cog in the machine; you are building the machine.
Stability + Upside: Competitive salary plus a Phantom Stock Plan with a transparent, revenue-based valuation formula (no VC dilution).
Autonomy: High-level ownership over the tech stack and product direction.
Apply here: https://www.halfpricesoft.com/career/founding-engineer/
At xdof, we're at an inflection point. Frontier labs are racing to build general-purpose robots, and high-quality training data is the bottleneck. We're building the foundation behind the foundation models – the data collection systems, operational capability, exabyte-scale data warehouse, and software toolchain – to help our partners drive the field forward.
Founded by UC Berkeley Robotics PhDs and MechEs, this is a team that executes across software, hardware, and operations faster than I can believe sometimes. This speed and ability to deliver has led to partnerships with many of the top players in the space.
We are not quite yet out of stealth, so not able to share more details here, but are so understaffed relative to demand that I'd like to start semi-public hiring ASAP.
https://jobs.ashbyhq.com/xdof/
If you are interested but can't find a role that suits you, please email me at (check username)
PrairieLearn (https://www.prairielearn.com) is an open-source assessment platform used by universities across the US (Berkeley, Princeton, Michigan, Illinois, and others). We power mastery-based learning and large-scale exams.
We’re a small, profitable, early-stage company (bootstrapped, no VC) that is growing quickly. Our users love us and we have very high retention and rapid spread through word of mouth. As an early-stage hire, you’ll work across the stack and enjoy meaningful ownership from day one.
Tech we use: Node.js / TypeScript backend, Postgres, AWS, React. We’re also developing AI tooling, including LLM agents to help instructors create content, and vision-language models to help grade student work. PrairieLearn is open core: https://github.com/PrairieLearn/PrairieLearn
Details:
- Location: Remote (US only)
- Salary: $100k-$140k depending on experience
- Benefits: Stock options (0.5% - 1.5%), unlimited PTO, flexible hours
- Role: Full-time. (We’re not able to sponsor visas at this time.)
Apply at https://www.prairielearn.com/jobs-ashby?ashby_jid=ee6fdbc3-1...