--- title: 'Shoot Your Shot at Alljoined' canonical: 'https://feeny.ai/job/shoot-your-shot-alljoined-san-francisco-23qhsqfx5mq6' type: 'job' last_seen: '2026-09-07' --- # Shoot Your Shot at Alljoined - **Company:** Alljoined - **Location:** San Francisco, CA - **Employment:** full-time - **Work type:** onsite - **Posted:** 2026-03-14 - **Last confirmed live:** 2026-09-07 - **Apply:** https://jobs.ashbyhq.com/alljoined/6042ab09-029e-492a-b903-f8fa8dbe78a7 ## Job description ## ABOUT ALLJOINED Alljoined is creating a future where humans are fully understood and augmented by technology. Our work solves the communication bottleneck between humans and computers by decoding thoughts from the brain, entirely non-invasively. We apply deep learning research to large scale EEG datasets to decode multimedia input, eventually moving to internal thought. We are state-of-the art in capabilities and are fully vertically integrated. Our goal is to develop a general consumer interface to completely transform how we can live our lives. ## ABOUT THE ROLE Job descriptions are inherently limiting. The most impactful people usually have skill profiles that span multiple disciplines and don't fit perfectly into a standard title. If you are exceptionally good at what you do and see a clear path to accelerating our work, this is the place to tell us. Our current open roles represent our immediate, obvious needs, but we are always looking for outliers. Use this application to pitch your ideal role, define your own scope, and show us exactly how your specific background will help us build the next interface between humans and technology. YOU MIGHT BE A GOOD FIT IF YOU - Have built, researched, or shipped things at an elite level, regardless of your specific domain. - Are deeply fascinated by the intersection of human psychology, biology, and advanced computing. - Operate best when the playbook hasn't been written yet. You prefer to find a vague problem, scope it out, and solve it completely end-to-end. - Default to high-bandwidth, low-ego collaboration. We are a small group where the best idea wins, regardless of who it comes from. - Are fundamentally driven by building technology that serves and empowers people, rather than just extracting value or optimizing for engagement. ## COMPENSATION RANGE Competitive cash based on role and experience. Generous equity for full time staff. ## BENEFITS - Comprehensive health, vision, dental insurance - Options for housing support - Visa sponsorship - Unlimited PTO - 3% 401k matching ## About Alljoined ## Company Overview - **One-liner**: Alljoined develops neural decoding technology to interpret thoughts from brain signals non-invasively, aiming to bridge human cognition and technology by applying deep learning to EEG and fMRI data. - **Entity Type**: Private (Seed round, January 2025) - **Headquarters**: San Francisco, California, United States - **Founded**: 2023 - **Founders**: Not publicly disclosed (CEO is Jonathan Xu) ## Core Business - **Primary industries**: Research Services, Artificial Intelligence, Brain-Computer Interfaces (BCI) - **Target customers**: B2B (research institutions, healthcare providers), B2C (future consumer BCI applications); currently research‑focused - **Mission statement**: “Create a future where people can better understand themselves and connect with technology” – developing neural decoding to augment human capability and dignity ## Products & Services - **ENIGMA Model**: A multi‑subject EEG‑to‑image decoding model that learns a shared visual language across brains, enabling adaptation to new users in minutes. Achieves state‑of‑the‑art accuracy (demonstrated in peer‑reviewed work). - **MindEye2**: Multi‑subject fMRI‑to‑image architecture that trains 40× faster than prior models while matching performance (ICML 2025). - **Public EEG Dataset**: Largest public dataset for EEG‑image decoding – 6+ hours of recordings per participant across 20 subjects using consumer‑grade hardware. - **Proprietary Research Models**: Decoding of semantic content, emotion, inner speech, and intentional planning from brain signals. All offerings are research‑stage technology, not yet commercialized (pre‑revenue). ## Market Standing - **Valuation / Total Funding**: Not disclosed (Seed round in Jan 2025, 2 investors) - **Key Metric**: Total funding amount not publicly available; headcount 12 employees (LinkedIn) with conflicting report of 9 (BuiltIn) - **Notable Investors & Advisors**: - Individual investors include **Jeff Dean** (Chief Scientist, Google), **Guillermo Rauch** (CEO, Vercel), **Anastasis Germanidis** (Co‑founder, RunwayML), **Oliver Cameron** (Co‑founder, Odyssey), **Vas Bailey**. - Scientific Advisory Board: **Dr. Anil Seth** (Professor, University of Sussex), **Dr. Rufin VanRullen** (CNRS), **Dr. Arnaud Delorme** (Chief Architect of EEGLAB), **Dr. Thomas Naselaris** (University of Minnesota), **Dr. Tanishq Mathew Abraham** (CEO, MedARC). - **Growth Signals**: - Headcount grew **+142.9% YoY** (LinkedIn); currently 7 open positions across research and engineering. - Published papers at **ICML 2025** (MindEye2) and **CVPR** (mental imagery reconstruction from fMRI, highlight paper). - Released the largest public EEG‑image decoding dataset and demonstrated log‑linear neural scaling laws. ## Competitive Advantages - **Non‑invasive decoding**: Uses consumer‑grade EEG, making BCI practical for widespread use. - **Multi‑subject learning**: Models (ENIGMA, MindEye2) generalize across individuals, reducing calibration time from hours to minutes. - **Cutting‑edge research**: Peer‑reviewed publications at top ML/vision conferences; team includes world‑class neuroscientists and ML researchers. - **Ethical positioning**: Focus on augmenting human capability and dignity, not replacement. ## Strategic Focus - Decoding increasingly complex cognitive processes (emotion, inner speech, planning, abstract reasoning). - Scaling neural decoding through larger datasets and more powerful models. - Building a practical, non‑invasive interface for mental health, self‑understanding, and human‑computer interaction. ## Why Work Here - **In‑office culture** in San Francisco, CA (all roles require on‑site presence). - **Early‑stage environment** with ability to shape foundational technology; currently 12 employees. - **Research‑heavy team** – roles include Machine Learning Researcher, Computational Neuroscientist, Data Infrastructure Engineer, Software Engineer. - **Mission‑driven** – “improving human capability and dignity” with a focus on ethical augmentative AI. - **World‑class advisors** from top institutions (Google, CNRS, Princeton, etc.) and a highly collaborative team (former employees from Tesla, Snowflake, Microsoft, etc.). ## Sources 1. [alljoined.com](https://www.alljoined.com/) 2. [alljoined.com/about](https://www.alljoined.com/about) 3. [linkedin.com/company/alljoined](https://www.linkedin.com/company/alljoined) 4. [builtin.com/company/alljoined-inc](https://builtin.com/company/alljoined-inc) 5. [jobs.ashbyhq.com/alljoined](https://jobs.ashbyhq.com/alljoined) ## Other roles at Alljoined - [Executive Assistant](https://feeny.ai/job/executive-assistant-alljoined-san-francisco-51epbag83025) — San Francisco, CA - [Data Infrastructure Engineer](https://feeny.ai/job/data-infrastructure-engineer-alljoined-san-francisco-hdnsfa556y1p) — San Francisco, CA - [Software Engineer](https://feeny.ai/job/software-engineer-alljoined-san-francisco-pcx5663q5d58) — San Francisco, CA - [Computational Neuroscientist](https://feeny.ai/job/computational-neuroscientist-alljoined-san-francisco-f1p4kmdzg8rz) — San Francisco, CA - [Machine Learning Researcher](https://feeny.ai/job/machine-learning-researcher-alljoined-san-francisco-sn24fm8zxqk1) — San Francisco, CA