Live data from Hacker News

Ask HN: Who wants to be hired? (November 2025)

news.ycombinator.com

441–450 of 536 posts

Re: Ask HN: Who wants to be hired? (November 2025)

#441

  Location: Europe, CET timezone (async ideal)
  Remote: Yes
  Willing to relocate: Yes, depends
  Technologies: Clay, Smartlead, Instantly, Apollo, Outscraper, AI etc
  Résumé/CV: https://drive.google.com/file/d/1R_bWa7JMQrrROWnY9MZT1FI92dB87py5/view?usp=sharing
  Linkedin: https://www.linkedin.com/in/email-marketer/
  Portfolio: https://docs.google.com/document/d/1h0sZqni_WGEeRS9A2J25Pd_GAC8f7Oaz3JdcSD9OSE4/edit?usp=drive_link
  Email: filip@filipstanojevic dot com


You built something good.

Now you need the right people to notice, consistently.

And of course, you want it to be automated, but not sound robotic.

That’s where I fit in. I work at the intersection of positioning, copy, email, and systems -- turning a good product into attention and a steady pipeline.

GTM engineering + B2B lead gen + copywriting + email + automation.

Open to full-time, part-time or fractional roles with smart teams that need help in this area.

-Filip

Re: Ask HN: Who wants to be hired? (November 2025)

#442
Location: Chicago

Remote: Yes, remote only

Willing to relocate: No

Technologies: Swift, ARKit, SwiftUI, RealityKit, Reality Composer Pro, Shader Graph, SwiftData, object tracking, room tracking, LiDAR scene reconstruction, world tracking, hand tracking, Enterprise APIs, plane tracking, body tracking, postprocessing, face tracking, image saliency analysis, semantic segmentation, depth estimation, RoomPlan, SceneKit, Object Capture, photogrammetry, CoreML, Create ML, OpenAI API, Supabase, Metal, Combine, iMessage extensions, Firebase, Firestore

Résumé/CV: https://www.linkedin.com/in/atmorales0/

Email: tony@1984.dev

GitHub: https://github.com/robomex

I am a freelancer/contractor who specializes in developing augmented reality, spatial computing, and computer vision apps for iOS & visionOS. Several of my apps were handpicked and featured worldwide by Apple. I've worked with solo founders, startups that went on to get acquired (OpenAI, Shopify), and R&D teams at large corporations.

If you have any questions or you want to get a conversation started: Shoot me a message & let's talk!

Re: Ask HN: Who wants to be hired? (November 2025)

#444
Location: Minneapolis, MN, USA

Remote: Yes

Willing to relocate: No

Technologies: Svelte, React, Vue, Go, Node, Python, FastAPI, C#, C++, Java, PHP, Symfony, Ruby on Rails, PostgreSQL, MySQL, MongoDB, AWS, Terraform, Docker, CI/CD, Git, Swagger, TypeScript, JavaScript, HTML/CSS, jQuery, UIKit, Jest, ArcGIS, ESRI, Redmine, Bash, Linux

Résumé/CV: https://ryanisler.com/resume

Email: islerryan@gmail.com

Portfolio: https://github.com/ryanIs

- Senior Full Stack Developer with a background in weather forecast mapping, API and CMS integration for big data, and product database tooling for non-profits and schools. Currently back-n-forth between a few endeavors: building a Scryfall-inspired MTG assistant in React + Django; A Vue + Rails version for Hearthstone and Runeterra; and building all kinds of home lab apps for roommates and games/gadgets using Unity and Python.

I am searching for remote full-time or contract opportunities.

Re: Ask HN: Who wants to be hired? (November 2025)

#445
Remote: Optional Willing to relocate: Yes, worldwide Technologies: Python, Matlab Email: m.faylias [at] gmail [dot] com

My Contribution (Short Profile) • Applied Al research with focus on real-time signal processing, decision logic & anomaly detection • Modular signal & system architecture — complements classical ML stacks • Physically informed analogy modules (e.g., superposition in Python) • Hand-crafted, explainable features & operators • Guiding principle: ML/RL cleanly embedded into a predefined architecture Example Result Phase-aware XGBoost trained on "Melodic House" harmonies → showed genre generality beyond training data Working Principle Reproducible research: clear pipelines, paper-style notebooks, deterministic exports Mainstream Deep Learning (TensorFlow) • Purpose: ML, Deep Learning, neural networks • Focus: Classification, regression, prediction • Architecture: Computation graph & tensors • Inputs: n-dim tensors • Outputs: Probabilities, models, vectors • Computational Principle: Gradient descent • Components: Layers, losses, optimizers • Tooling: GPU-first workflows, tf.keras, deployment stacks • Data Strategy: Big Data, automatic feature learning • Explainability: Often low (requires additional tooling) • Style: GPU-heavy, often overdimensioned • Versioning: Model checkpoints, weights

Re: Ask HN: Who wants to be hired? (November 2025)

#446
Location: Paris, France (dual citizenship: French & Brazilian) Remote: Yes Willing to relocate: Case-by-case

Technologies: Python, C/C++, PyTorch, TensorFlow, OpenCV, scikit-learn, ONNX, MLOps

Résumé/CV: https://lolynepacheco.wixsite.com/home

Summary: Senior AI Research Engineer with over 10 years of experience in Computer Vision and Machine Learning. I specialize in designing and deploying AI-driven solutions for real-world visual understanding challenges. My expertise spans computer vision research, deep learning, and MLOps orchestration, enabling seamless model development and large-scale deployment across diverse environments.

Email: lolyne.pacheco@gmail.com

Post reply on HN