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Who wants to be hired? (July 2026)

Who wants to be hired? (July 2026)

151 pointsby whoishiring525 comments

Discussion summary

Multiple developers from various locations are seeking remote or hybrid roles, with some open to relocation and visa sponsorship. Technologies range from Python and JavaScript to Rust and C++, with experience in full-stack, DevOps, and system development.

What the discussion says

  • Many candidates are open to remote work, some prefer hybrid or in-office roles.
  • Several are willing to relocate, depending on circumstances.
  • Candidates have diverse tech stacks including Python, JavaScript, Rust, C++, and more.
“Willing to relocate: Yes”
— arikrahman
“Remote: Yes, open to remote, hybrid, or in office”
— btrettel

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  • Hacker News
  • Location: Hyderabad, India

    Remote: Yes

    Willing to relocate: Yes

    Technologies: Python, PyTorch, ONNX, ONNX Runtime, quantization, QDQ, INT8/INT4, model compression, calibration, accuracy recovery, computer vision, LLM fine-tuning, LoRA/QLoRA, evaluation pipelines, Docker, Linux

    Résumé/CV: Available on request

    Email: johnzakkam2592@gmail.com

    AI / ML engineer focused on model optimization, quantization, and deployment.

    I help teams take models from “works in research” to “runs efficiently in production.” My work includes PyTorch to ONNX export/debugging, INT8/INT4 quantization, calibration, accuracy recovery after compression, latency/memory benchmarking, and fine-tuning/evaluation workflows.

    Best fit: startups or teams with ML/AI models that are too slow, too expensive to serve, hard to deploy, or losing accuracy after quantization/compression.

    Interested in freelance, consulting, part-time, or full-time opportunities around model optimization, edge AI, inference efficiency, and applied ML systems.

    by johnzakkam
  • I'm the one who made the project featured in https://news.ycombinator.com/item?id=48704289

    Incoming 4th-year CS major @ GT, looking for contract work (~20 hours a week) from Aug 2026 - May 2027. Especially interested in robotics, RL / embodied ML opportunities; security engineering background. Internships: 2x Apple, SpaceX, Samsung

    Location: Atlanta, GA, USA

    Remote: Yes

    Willing to relocate: Yes, after grad. Need to be in ATL for the school year

    Technologies: Python, PyTorch, MuJoCo, PufferLib, reinforcement learning (PPO), C#, Java, JavaScript/TypeScript, SQL, Linux, Kubernetes, Wireshark

    Résumé/CV: https://karolina.mgdubiel.com and https://linkedin.com/in/karolinadubiel -- please email for actual resume :)

    Email: karolina+hn [at] mgdubiel (dot) com

    by kar0lina
  • Location: Munich, Germany

    Remote: Yes

    Willing to relocate: Yes, internationally for the right role

    Technologies: Python, C++, statistical inference, probabilistic modelling, agentic development, ML evaluation, scientific computing, open-source research software, reproducible analysis pipelines, Git, CI/CD, pytest, Docker, HPC workflows

    Résumé/CV: https://drive.google.com/file/d/1e0p0BcPuZF4o0_4h6mf5P-qGPEZ...

    Email: lorenz.gaertner@gmail.com

    Research Engineer / Applied Statistics Engineer with a physics background and strong Python/C++ skills.

    I build statistical methods, probabilistic models, and research software for technically hard problems. In particle-physics research at LMU Munich, I developed a new statistical method used in multiple publications, built open-source Python software for automated statistical analysis workflows, and contributed to widely used research-computing libraries.

    My work sits between mathematical modelling and robust software: turning ambiguous inference problems into reusable tools, reproducible analyses, and clear technical explanations.

    I have presented technical work at international research-software and scientific-computing venues, including CERN and PyHEP, and have advised technical stakeholders in German parliamentary and international-agency contexts.

    Looking for full-time Research Engineer / Applied Statistics Engineer roles, especially where rigorous inference and evaluation matter. Particularly interested in AI evals/safety, applied statistics, scientific computing, and technical strategy.

    by lorenzennio
  • Location: London (UK)

    Remote: Yes (Remote/Hybrid depending on location)

    Willing to relocate: No

    Technologies: Primarily Typescript, React, Bash, GitHub Actions

    Résumé/CV: https://punkbit.com/docs/cv-punkbit-helder-oliveira.20260417...

    Email: info (at) punkbit (dot) com

    I'm a Product Engineer and a creative based in London. I’ve built full-stack applications across web, mobile, blockchain and embedded platforms. My client-side work includes React, Electron, Roku’s Scenegraph, and native iOS development with Swift and SwiftUI, always with a strong focus on UX and design-first thinking. On the service-side, I’ve worked with traditional service hosting, containers, and serverless, including (but not limited to) AWS, GCP, Cloudflare, Workers, CloudFormation, SAM CLI, nodejs, bunjs, MySQL, Postgres, NoSQL, grpc, Redis, Docker, nginx, and a few legacy tools best left unnamed (yes, including CodeIgniter and ftp).

    I’ve also developed developer tools like CLIs and SDKs, primarily Typescript/JavaScript land, and have written code in systems languages such as Rust and Zig.

    I care about clean code, great UX, developer experience, documentation, rapid iteration and automating workflows with CI/CD (GitHub Actions, Bash scripts, etc).

    Also familiar with modern development practices by leveraging coding agents, such as pi, opencode, claude and LLM, including kimi over fireworks inference.

    Want to know more? https://punkbit.com

    by punkbit
  • Location: US (WA)

    Remote: Preferred

    Willing to relocate: For the right role, though I'd prefer to stay in the PNW.

    Technologies:

        * Languages: Python (proficient), Bash (proficient), JS/Go/SQL (familiar)
    * DevOps: Kubernetes, Ansible, Docker, Zabbix, DNS (TinyDNS/BIND), Harvester, Netbox, KeaDHCP, CI/CD, GHA
    * Platforms/infra: Linux (Rocky/Debian/Arch), Hetzner, AWS, Colo/On-Prem
    * HPC/ML: SLURM, Ceph, TF/Keras/PyTorch
    * Biophysical: GROMACS, OpenMM, FoldX, PyRosetta
    Resume/CV: https://jbarnes.dev/resume

    Email: jonathan [at] jbarnes.dev

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

    Hi, I'm Jonathan, a PhD physicist who moved into infrastructure: Linux systems, DevOps, and automation

    I run infrastructure for an open-source blockchain project; a 40+ node Linux fleet covering provisioning, virtualization, DNS, monitoring, deployments, and user-facing services. I also operate a small IT/hosting consultancy where I own the full stack from bare metal up. Before this, my background was postdoctoral biophysics and ML research (GROMACS, SLURM, ML-assisted free-energy prediction) plus contract cloud engineering at a startup.

    I'm a strong fit for platform, infrastructure, SRE, DevOps, or computational research roles. I do my best work in small, collaborative teams, and I'm comfortable wearing many hats.

    by quipacorn
  • SEEKING WORK | Data scientist consultant | Canada/Remote Worldwide

    Most of what people call "data science" is now doable with an LLM and a weekend. I focus on the messy, ambiguous, regulation-heavy gnarly problems where nobody is sure what the right question is. Often it involves getting hands on to find the data and signal that's really needed.

    What I've done:

       - AI verification of building and architectural BIM/CAD against 400 page ESG standards. (Days of work down to minutes)
   - Part failure prediciton, saving a German automaker from lemon law recalls. ($20M+ exposure avoided)
   - Oil & gas well and lease production forecasting. 
   - Real-time emissions detection for industrial smokestacks. ($75K fines per incident prevented)
   - Revenue optimization and persona identification for debt collections (15-20% net revenue lift)
   - LLM-based legal document extraction (land runsheet), reducing due diligence turnaround from 3 days to 30 minutes
   - Built vessel piracy risk engine that informed naval escort deployment, contributing to fewer hijackings
    Things I'm unwilling to work on:

       - Gambling.
   - Ads/Surveillance.
   - Payday loans/rent-to-own.
    Email me with a short description of your problem. If it's hard enough, I'll reply within 24 hours.
    by Grosvenor
  • Location: Charleston, SC

    Remote: Yes

    Willing to relocate: Yes

    Technologies: Ruby, Python, JavaScript (ES6), TypeScript, React, Node.js, PostgreSQL, MongoDB, OpenSearch/Elasticsearch, AWS (ECS, EC2, VPC, ALB, Secrets Manager), Docker, Terraform, OpenTelemetry, Jaeger, Prometheus

    Resume/CV:https://drive.google.com/file/d/1L0ufKuiPJn1RoWWi25VUeg7xX6h...

    LinkedIn: https://www.linkedin.com/in/zane-lee-14496a297/

    Email: zanedev28@gmail.com

    GitHub: https://github.com/Kcstills17

    Co-creator of Retriever (https://runretriever.app/), an AWS-deployed observability platform that enables AI-powered trace analysis through distributed systems. Built a custom MCP server allowing developers to query trace data using natural language through LLMs like Claude, optimizing context consumption through intelligent data distillation from verbose OTLP structures.

    Experienced with building full-stack applications. I am comfortable using AWS as a cloud environment and have experience with AI technologies such as RAG, MCP, and Vector embeddings.

    by zanedev28

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