Ask HN: Who is hiring? (September 2026)

We’re building the inference platform for visual intelligence. We’re a deeply technical team of veteran AI / computer-vision engineers (20+ years combined, MIT/CMU PhDs) who’ve shipped production ML infrastructure across autonomous driving and LLMs.

We just launched the VLM Run Gateway (https://vlm.run/gateway), a unified API that serves open-weight VLMs, embodied VLAs, ViTs, served across a fleet of GPUs and clouds. That's exactly the infrastructure problem this role will own.

If you’re interested, email us at hiring@vlm.run with your GitHub profile and link to projects you’ve recently built - especially with docker, k8s, GPUs.

Legile builds OneView, a legal AI platform that legal teams use in production for contract review, risk and compliance. We recently joined the Anchr software group and are scaling from proven MVP to production-grade platform.

You join as the third person in the team, next to the two founders, and take technical ownership of OneView: retrieval (PostgreSQL/pgvector), LangGraph pipelines, FastAPI backend, React/TypeScript frontend, plus the CI/CD and observability that let a small team ship with confidence. As the team grows, the role grows into CTO.

We care more about AI-native workflows you have shipped to real users than about ticking every box on a stack list. Real R&D backed by a Flemish innovation grant (VLAIO).

Stack: Python/FastAPI, React/TypeScript, PostgreSQL + pgvector, LangGraph, Azure.

Apply: jobs@legile.be. No cover letter, just tell us what you built.

Primarily hiring in the U.S. for more senior level roles.

We’re hiring across Engineering (Full-stack and Infra) and Data Science / ML roles. Hiring at Manager/Director level as well as mid-level/Senior levels. We’re language-agnostic and hire for fundamentals.

Across the team you’ll see: • Python, Go, Rust, Scala • PostgreSQL, Snowflake • Kafka, Redis • Terraform, Kubernetes • ML: XGBoost, PyTorch, Feature stores, real-time scoring pipelines

If you love solving complex distributed systems challenges, building customer-facing ML products, or working on detection systems that must be both high-precision and low-latency, you’ll fit right in.

Roles are here: https://jobs.ashbyhq.com/sentilink?utm_source=hacker_news If you have questions, feel free to reach out directly at liz.woodfield at sentilink dot com.

At SentiLink, we stop identity fraud at scale. Our products protect banks, fintechs, marketplaces, and leading financial institutions from synthetic identity fraud, identity theft, and emerging threat. We analyze millions of applications while keeping real users moving fast.

We’ve seen tremendous traction and are growing extremely quickly. Our real-time APIs have helped verify hundreds of millions of identities, starting with financial services and rapidly expanding into new markets. SentiLink is backed by world-class investors including Craft Ventures, Andreessen Horowitz, NYCA, and Max Levchin.

SentiLink supports a variety of ways to work, ranging from fully remote to in-office. We operate as a digital-first company with strong collaboration across the U.S. and India. We maintain physical offices in Austin, San Francisco, New York City, Seattle, Los Angeles, and Chicago in the U.S., and in Gurugram (Delhi) and Bengaluru in India. If you’re located near one of these offices, we would love for you to spend time in the office regularly. Some roles are hybrid or in-office by design. For example, our engineering team in India works primarily from our Gurugram office.

We’re a small, high-impact team solving one of the most interesting and adversarial problems in fintech: how do you build systems that reliably determine whether a real human is on the other side of a financial transaction?

Company: Foray is a plant production company using plant cells, artificial intelligence, and advanced biomanufacturing to grow materials, molecules, and seeds directly from the cell up.

Our work is powered by Pando, our intelligent workspace for plant science. Pando combines novel plant datasets and emerging predictive models to help researchers design and optimize plant production workflows with greater speed and reliability. Together, our software and biomanufacturing platforms are creating new ways to produce what we need from plants while building more resilient plant industries.

Role: We’re looking for a Software Engineer, Data & ML to help build the software and data foundation behind Pando. You’ll work across the product, with a particular focus on backend systems, APIs, data infrastructure, and the systems supporting our machine learning work. A major part of the role is figuring out how to turn complex scientific and experimental information — including scientific literature, natural language, and data generated in the lab — into reliable, structured data.

You’ll work closely with software engineers, biologists, and ML researchers to translate experimental workflows, statistical analyses, and design-of-experiment approaches into scalable software and predictive tools. You’ll join early, have significant ownership, and help make foundational technical and architectural decisions as the platform grows.

You: + Strong software engineering generalist with particular depth in backend and data systems + Experience shipping production-grade software and building backend systems, data pipelines, databases, APIs, or other data-intensive infrastructure + Strong in Python and comfortable with relational databases, APIs, and modern software systems + Familiar with MLOps and the infrastructure needed to run AI models in production + Comfortable turning messy, heterogeneous, or unstructured information into trustworthy data, including through NLP, information extraction, or similar techniques + Understand good scientific data practices including quality, provenance, versioning, reproducibility, permissions, and access controls + Enough statistical fluency to reason about experimental data, uncertainty, and design of experiments + Enjoy learning unfamiliar domains, working across disciplines, and solving ambiguous problems with significant ownership + Experience with scientific or biological data, ML infrastructure, predictive modeling, optimization, or AI applications is helpful, but we don’t expect one person to have done all of these things before + Must be authorized to work in the United States

Learn more & apply: https://jobs.polymer.co/foray-bioscience/41044?source=Hacker...

Referrals: Available in the form of a houseplant or a lab-grown Christmas tree, while supplies last!