note.md - note.md is a private, local-first markdown workspace for macOS built for focused writing, research, and structured thought. It supports GitHub Flavored Markdown, complex tables, and LaTeX math, with bidirectional links and a visual graph to connect ideas. Smart citations and research-table extraction are powered by local AI models that keep your data on-device, and you can import scientific papers and PDFs directly. Markdown is the storage format - no proprietary lock-in.

Genpire - Genpire is an AI-native product design and manufacturing platform. It turns any idea, sketch, or prompt into factory-ready output in minutes - design visuals, technical specs, bills of materials, graded size specs, construction notes, materials, and manufacturer matching - all in one workflow. Built for fashion, apparel, and consumer-goods brands, it compresses development timelines that previously ran four to eight weeks.

PollyReach - PollyReach gives every AI agent its own phone number and the ability to make and receive real calls. Its human-like AI voice agents automate lead qualification, customer support, and appointment booking, and can serve as a 24/7 AI receptionist. Polly finds the number, dials, navigates phone menus, handles the conversation, and confirms bookings, syncing with Google Calendar, Outlook, and Calendly to check availability.

Contextberg - Contextberg is a local memory app for AI coding agents. It watches your screens, agent transcripts, and browser activity in the background, then serves both short-term and long-term memory to agents like Claude Code, Cursor, and OpenClaw over the Model Context Protocol (MCP). It is privacy-first and Windows-first - your data never leaves your machine - and installs from the Microsoft Store.

Nota: AI Notes & Voice - Nota is an AI notes and voice app for iPhone, iPad, Mac, and Apple Watch. Capture your way - type, dictate, sketch, scan, or upload images - and let built-in AI clarify, shape, and organize your notes. Its scanner extracts text from documents, whiteboards, business cards, signs, photos, and textbooks, and Apple Pencil support adds handwriting and drawing with tags, pins, search, and visual organization.

Software Engineer, Secrets Infrastructure (Remote) - Fully remote team building Stripe's internal secrets/credentials infrastructure.

Software Engineer, New Grad - New grad SWE role spanning Stripe's payments, money-movement and platform teams.

Applied Scientist / Research Engineer, AI4Engineering - Apply Mistral's models to coding, software engineering, and developer workflows.

AI Scientist - Research scientist role on Mistral AI's research org — onsite, hybrid or remote.

Research Engineer, Machine Learning - Build and optimize large-scale learning systems powering Mistral's open-weight models.

Machine Learning Engineer, Fast Optimized Inference (EMEA Remote) - Build the fastest open-source inference stack — quantization, kernels, serving — at Hugging Face.

Cloud Machine Learning Engineer (US Remote) - Build Hugging Face's cloud ML offerings — inference endpoints, training infrastructure, and customer-facing tooling.

SDE AI/ML II — ML Inference Apps, AWS Neuron - Performance tune and enable ML model families (Llama2, GPT-class) on AWS Neuron / Trainium inference accelerators.

Annapurna Labs at AWS — Early Career (US): ML Systems & Silicon Innovation - Multiple technical tracks across ML Systems & Compilers, Distributed Training Systems and ML Infrastructure on AWS's silicon team.

Machine Learning Research Engineer, Generative AI (Siri) - Build infrastructure, datasets and models that empower Siri across NLU, dialog generation, speech synthesis and multi-modal interaction.

AI Research Scientist — Safety Alignment Team - Research and develop safety-alignment techniques for Meta's frontier AI systems.

AI Research Scientist, Language — Generative AI - Conduct research on generative language models within Meta's GenAI org.

Senior Deep Learning Algorithm Engineer - Develop and optimize deep learning algorithms for NVIDIA's accelerated computing platforms.

Deep Learning Software Engineer, TensorRT Performance — New College Grad 2026 - Integrate TensorRT into open-source frameworks and implement graph compiler algorithms across NVIDIA's inference ecosystem.

Research Engineer, Pretraining - Build and optimize pretraining systems and pipelines for frontier models at Google DeepMind.

Research Engineer, World Models - Implement core infrastructure and conduct research to build generative models of the physical world.

Staff Machine Learning Engineer, Virtual Collaborator - Lead ML engineering for the Virtual Collaborator product line at Anthropic.

Research Engineer, Cybersecurity Reinforcement Learning - Safely advance model capabilities in secure coding, vulnerability remediation, and defensive cybersecurity.

Research Engineer / Research Scientist, Pre-training - Develop the next generation of large language models on Anthropic's Pre-training team.

Research Engineer / Scientist, Alignment Science - Contribute to exploratory experimental research on AI safety with a focus on risks from powerful future systems.