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Research Intern (Fall)

Alljoined · San Francisco · On Site · Active · Ashby

Job facts

FieldValue
CompanyAlljoined
TitleResearch Intern (Fall)
Normalized title-
Department / teamEngineering / Engineering
LocationSan Francisco, CA, United States
Work modelOn Site
Employment typeFull Time
Salary-
Statusactive
ATS providerAshby
Posted / first seen / 2026-05-29
Changed / last seen2026-05-29 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Alljoined.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Ashby.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in San Francisco.Open
Department jobsActive postings in Engineering.Open
Work model jobsActive On Site postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyAlljoined
Source77fef1e5-0ecc-496f-9e4e-ece4af594b32
ATS providerAshby

Description

About Alljoined Alljoined aims to solve the communication bottleneck between humans and technology by decoding thoughts from the brain, entirely non-invasively. We apply deep learning research to large scale EEG datasets collected on affordable hardware to decode stimuli like images, and eventually emotion, intent, train of thought and more. Targeting business applications first, we will eventually create a general consumer interface for productivity, entertainment and AI applications. We are actively growing our world-class team of researchers to build the most performant and accessible interface to greatly improve the quality of individual lives as well as the well-being of society as a whole. About the Role As a Research Intern , you will contribute to building the computational infrastructure that powers our breakthrough brain-computer interface research. You'll work at the intersection of neuroscience and machine learning, developing and optimizing pipelines that process massive EEG datasets and implementing cutting-edge deep learning experiments. This role offers hands-on experience with state-of-the-art neural decoding technology while working alongside world-class researchers pushing the boundaries of what's possible in brain-computer interfaces. About You Currently pursuing or recently completed a degree in Computer Science, Software Engineering, or related field Strong programming skills in Python with ability to quickly learn new frameworks Solid understanding of algorithms and data structures Problem-solving mindset with attention to detail in experimental work Ability to work collaboratively in a fast-paced research environment Enthusiasm for learning about neuroscience and brain-computer interfaces Responsibilities Implement and run computational experiments using PyTorch, adapting existing models or developing new ones as research requires Develop performant, distributed pipelines and algorithms for EEG data processing and analysis Perform rigorous quality checks and preprocessing to ensure data integrity Experiment with different parameters to optimize EEG data collection and analysis conditions Collaborate with computational neuroscientists, ML researchers, and engineers on cutting-edge research projects Maintain thorough documentation of experiments, procedures, and results Required Skills Programming Proficiency: Strong Python skills with ability to implement algorithms and quickly learn ML techniques in PyTorch Computer Science Fundamentals: Solid grasp of CS principles, algorithmic thinking, and problem-solving Full-Stack Familiarity: Experience with web development (React, SQL) is a plus but not required Nice to Have Experience with deep learning frameworks and techniques Knowledge of signal processing for data preprocessing and analysis Familiarity with EEG or other neuroimaging modalities Previous research or project experience in experimental design Compensation & Benefits $30/hour USD Corporate housing provided Potential for full-time conversion based on performance

Full job record

Job ID9395839dfdf75c2194858f95a76ff79448840007
Org IDf036d896-cb89-42ee-a045-f4ae189e1118
Source ID77fef1e5-0ecc-496f-9e4e-ece4af594b32
Board ID77fef1e5-0ecc-496f-9e4e-ece4af594b32
Providerashby
Provider Job Keyb9e2f607-6a07-4836-8d89-e4f6de8bd515
TitleResearch Intern (Fall)
Normalized Title
Statusactive
Activeyes
Location TextSan Francisco
DepartmentEngineering
TeamEngineering
Employment Typefull_time
Workplace Typeon_site
Remote Policy
CountryUnited States
RegionCA
CitySan Francisco
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://jobs.ashbyhq.com/alljoined/b9e2f607-6a07-4836-8d89-e4f6de8bd515
Apply URLhttps://jobs.ashbyhq.com/alljoined/b9e2f607-6a07-4836-8d89-e4f6de8bd515/application
First Seen At2026-05-29 06:04:05Z
Last Seen At2026-06-06 09:16:25Z
Last Checked At2026-06-06 09:16:25Z
Last Changed At2026-05-29 06:04:05Z
Inactive At
Source Posted At
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=ashby/board=alljoined/date=2026-06-06/2026-06-06T09-16-20-283Z-d0d65581e170613f100219ed1489fc4d1e0afc60e3bbc6e428dc579e14415206.json
Event Fields
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  "last_changed_at": "2026-05-29T06:04:05.686Z",
  "active_status": "active"
}
Parsed Structured
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  "workplace_type": "on_site",
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}
Extensions
{}
Native Structured
{
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  "title": "Research Intern (Fall)",
  "jobUrl": "https://jobs.ashbyhq.com/alljoined/b9e2f607-6a07-4836-8d89-e4f6de8bd515",
  "address": null,
  "applyUrl": "https://jobs.ashbyhq.com/alljoined/b9e2f607-6a07-4836-8d89-e4f6de8bd515/application",
  "isListed": true,
  "isRemote": false,
  "location": "San Francisco",
  "updatedAt": null,
  "apiVersion": "ashby-non-user-graphql-v1",
  "department": "Engineering",
  "publishedAt": null,
  "workplaceType": "OnSite",
  "employmentType": "FullTime",
  "secondaryLocations": []
}
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GET https://api.bluedoor.sh/job-postings/v1/orgs/f036d896-cb89-42ee-a045-f4ae189e1118JSON
GET https://api.bluedoor.sh/job-postings/v1/sources/77fef1e5-0ecc-496f-9e4e-ece4af594b32JSON
GET https://api.bluedoor.sh/job-postings/v1/jobs/9395839dfdf75c2194858f95a76ff79448840007/eventsJSON