Ask HN: Who wants to be hired? (June 2026)

Location: London, UK

Remote: Yes

Willing to relocate: Yes

Technologies: Python, PyTorch, JAX, TypeScript, C++, Machine Learning, LLMs, AI Agents, Reinforcement Learning, Transformers, Diffusion, Flow Matching, Robotics

Résumé/CV: https://mariogemoll.com/cv.pdf

Email: mariogemoll@mailbox.org

Software engineer with 15+ years of industry experience. Over the last two years I've focused full-time on machine learning and AI, building models and training pipelines from first principles to develop a deep understanding of the field. A selection of projects and experiments is available on my website.

I combine senior engineering experience with hands-on ML expertise and am looking for ML Engineer, AI Engineer, or Research Engineer roles.

Portfolio: https://mariogemoll.com

GitHub: https://github.com/mariogemoll

LinkedIn: https://www.linkedin.com/in/mariogemoll

Location: Orange County, CA (Pacific Time) Remote: Yes (preferred); hybrid Orange County also fine Willing to relocate: No Technologies: Python, Go, SQL | FastAPI, Django, Vue, HTMX | Postgres, TimescaleDB, DuckDB, Redis | Temporal, Airflow, NATS | AWS (S3/RDS/EC2/Redshift), Docker, Kubernetes | Prometheus/Grafana | LLMs in production (RAG, eval, orchestration, structured extraction) Resume/CV: https://brojonat.com/Jon_Brown_Resume.pdf Website / writing: https://brojonat.com GitHub: https://github.com/brojonat Email: brojonat@gmail.com

PhD-trained engineer/manager (astronomy by training -- data is data). Currently Senior Data Science Manager at Hyundai Motor America's North American Safety Office, where I build large-scale vehicle telemetry pipelines, LLM-driven classification and RAG over enterprise data, and led department-wide LLM/AI adoption from technical workshops to production SDLC. Previously managed a data science team at HeadSpin: built data science pipelines, killed error-prone spreadsheet workflows with proper APIs and dashboards, reimplemented the flagship data product to reduce costs, latency, and churn.

Looking for senior data / platform sorts of roles. Equally happy IC or manager -- I just want to ship. Open to full-time or fractional/contract; happy to even work on small projects you want to send my way to help get to know each other.

I build a lot on my own time, and the side projects are probably the best read on how I work:

- forohtoo -- Go service for awaiting Solana payments via SSE/NATS, with a clean `Await(memo, amount)` SDK. Writeup: https://brojonat.com/posts/forohtoo/ - IncentivizeThis (https://incentivizethis.com) -- bounty-based authentic ad platform using LLM-as-judge across Reddit, YouTube, Twitch, Instagram, HN, TripAdvisor. Writeup: https://brojonat.com/posts/incentivizethis/ - If I Go Missing (https://if-i-go-missing.com) -- dead-man's-switch service (Go + Temporal + Postgres + Twilio + Stripe). - IYBI ("If You Build It [They Will Come]", https://iybi-twc.com) -- websites for independent workers, managed entirely by email. Customer pays via Stripe, emails an AI agent (Claude + Cloudflare Email Worker + R2 + K8s CronJob), the agent researches them, builds the site, and handles ongoing updates. My own consulting site runs on it.

Mostly Go or Python services running on my personal k8s cluster. Happy to talk shop or small projects we could work on together to assess fit.

  Location: New York City
  Remote: Yes
  Willing to relocate: If it's on the east coast, yeah maybe
  Technologies: JavaScript, TypeScript, C, Haskell, Solidity, C#, MUMPS
  Resume: https://haltman.neocities.org/resume.pdf
  Email: harry.j.altman@gmail.com

Hi, I'm Harry Altman! I was the maintainer of Truffle Debugger (https://github.com/ConsenSys-archive/truffle/tree/develop/pa...), a Solidity smart contract debugger, for 5 years. I eventually ended up writing my own decoding and encoding libraries to support it, as well as a bunch of other things.

I'm good at this sort of nitpicky work, spotting and thinking about edge cases. I like getting things exactly right, even though that obviously isn't always possible due to various constraints. I've been kind of wondering if I should get into embedded development; I find it appealing when things are low-level or similarly constrained. I've beaten Microcorruption. :) (The original levels, I haven't played the new ones.)

I'm also quite interested in unusual or obscure data formats, and working on Truffle Debugger and its associated libraries certainly involved a bunch of having to figure undocumented formats and interfaces. :) I put down above what languages I've worked substantially in but I'd say I'm a generalist and will figure out whatever you give me (I knew approximately no Javascript, Typescript, or Solidity when I started working at Consensys).

I'm a mathematician by background and in my spare time, so after the Truffle Debugger project was shut down I took some time off to focus on my mathematical projects, including old ones I've been shepherding through publication. But now I'm looking for work again! If you need someone like me, I'm available for hire!

Location: Oslo, Norway (CET)

Remote: Yes (EU/US time zones)

Willing to relocate: Yes.

Technologies: Rust, Python (PyTorch, NumPy/Pandas, Flask, Django), PyO3 Databases/infra: Postgres, ClickHouse, Qdrant, Redis, Kafka, Docker, Kubernetes (k8s) ML and systems: vLLM, TensorRT, Ray, edge ML inference, gRPC/Protobuf, systems profiling (perf, flamegraphs, Valgrind) Rust focus: Async services (Tokio, Axum/Actix), data/compute (Polars/Arrow), database proxies, performance-critical pipelines.

Domain expertise: - Academic: PhD in mathematics (topological data analysis, representation theory), MSc finance, MSc neuroscience. - Applied: database proxies/networking, quant dev and backtesting engines, ML/DL for banking & finance (risk/fraud), LLMs and agentic frameworks (tools, planning, eval), image processing, audio processing.

Résumé/CV: available upon request

Systems-oriented ML/LLM engineer specializing in Python/PyTorch and Rust for low-latency, high-throughput services. I have 8+ years of professional experience with Python and machine learning, and 5 years of production experience in Rust.

I thrive at the intersection of complex math and low-level systems. I've worked across multiple heavy domains, with deep experience building high-performance database proxies, modeling financial risk and architecting LLM agentic workflows, alongside applied work in audio and image processing. Actively exploring remote or relocation opportunities where I can apply my deep mathematical background and backend developer skills to hard engineering challenges.

Open to full-time roles or freelance/contract work (able to invoice B2B via my own company).

Email: hn [at-symbol] vixe.re

Location:Los Angeles

Remote: Yes

Relocation: Case-by-case

I'm an engineer and data professional interested in team-building, consulting and architecting data pipelines. At Edmunds.com, I worked on a fairly successful ad-tech product and my team bootstrapped a data pipeline using Spark, Databricks, and microservices built with Java, Python, and Scala.

At ATTN:, I re-built an ETL Kubernetes stack, including data loaders and extractors that handle >10,000 API payload extractions daily. I created SOPs for managing data interoperability with Facebook Marketing, Facebook Graph, Instagram Graph, Google DFP, Salesforce, etc.

More recently, I was the CTO and co-founder of a crypto gaming startup. We raised over $6M and I was in charge of building out a team of over a dozen remote engineers and designers, with a breadth of experience ranging from Citibank, to Goldman Sachs, to Microsoft. I moved on, but retain significant equity and a board seat.

I am also a minority owner of a coffee shop in northern Spain. That I'm a top-tier developer goes without saying. I'm interested in flexing my consulting muscle and can help with best practices, architecture, and hiring.

Would love to connect even if it's just for networking!

Blog: https://ai.dvt.name/whos-david/ (under construction)

GitHub: https://github.com/dvx

Email: [d]@[dvt].[name]