bluedoor data·Job Postings API·bluedoor.sh ↗

HomeCompaniesGptzeroMachine Learning Intern

Machine Learning Intern

Gptzero · Toronto Hybrid · Remote · Active · Ashby

Job facts

FieldValue
CompanyGptzero
TitleMachine Learning Intern
Normalized title-
Department / teamMachine Learning / Machine Learning
LocationToronto, ON, Canada
Work modelRemote / Hybrid
Employment typeInternship
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 Gptzero.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 Toronto.Open
Department jobsActive postings in Machine Learning.Open
Work model jobsActive Remote 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

CompanyGptzero
Source955acd3d-4cc1-4f7b-b208-04fa58c20edd
ATS providerAshby

Description

GPTZero is on a mission to restore trust and transparency on the internet. As the leading AI detection platform, we empower educators, students, journalists, marketers, and writers to navigate the evolving landscape of AI-generated content. With millions of users and institutions relying on us, we’re building a category-defining company at the intersection of AI and information integrity. Our team comes from high-performing engineering cultures, including Meta, Perplexity, AWS, Affirm, and leading AI research labs, including Princeton, Caltech, and Vector Institute. What we're looking for At GPTZero, we ensure that machine learning models are created for the benefit of humanity, not the other way around. In this role, you'll build the next-gen platform to verify the origin, quality, and factuality of the world's information. The ideal candidate is someone who has a history of ML research, possesses a great product sense, and is also an excellent software engineer. You'll be working on a fast-paced team of passionate builders, creating industry-defining software that has attracted over 2M users globally. Past intern projects have been the focus of demos to VCs and state-level policy leaders. Responsibilities Depending on the candidate, the role can be targeted more towards ML engineering or research (publication-focused) Design, train, and fine-tune state-of-the-art large language models Develop AI agents combined with retrieval-augmented language models Build efficient and scalable ML training and inference systems Stay up-to-date with the latest literature and emerging technologies to solve novel problems Work closely with product and design teams to develop intuitive applications that create societal impact Qualifications Proficiency in Python and PyTorch Experience pushing or implementing the cutting-edge in machine learning Self-starter and hungry learner Highly motivated to make positive societal impact Ability to wear multiple hats Visa for work in Canada or US Bonus : strong open-source portfolio publications at top-tier ML venues experience working in an early-stage startup environment understanding of how machine learning models fail in the wild Who you'll be joining Our Team You will be working directly with Alex (our CTO) R&D at Uber self-driving division and Facebook, 3 patents in ML George (our AI research lead) PhD from University of Toronto and ex-AWS research. Olivia (our head of design) on translating your research into outputs for millions of users. Edward (our CEO, ex-Bellingcat, Microsoft, BBC investigative journalism) to craft the messages we send to our community, and shape the GPTZero brand. Additionally, you will be working with an experienced (eg. ex-Google, Meta , Microsoft, Bloomberg ML, Uber, Vector, MILA ), diverse (eg. an engineering team with both Y-combinator and Obama scholarship recipients, a designer with art featured in the Met), and driven (eg. an operator who has scaled a company to 100M+ revenue and is committed to doing it again) group of individuals, described by one investor as one of the strongest founding teams seen in their career. Together, we are committed to making a permanent impact on the future of writing, and on humanity. Our Angels and Advisors Tom Glocer (Legendary Reuters CEO) Mark Thompson (Legendary NYT CEO and current CNN chief executive) Jack Altman (CEO of Lattice, brother of Sam Altman) Karthik Narasimhan (Princeton NLP Professor, co-author of OpenAI’s original GPT paper) Emad Mostaque (CEO of Stability AI) Doug Herrington (CEO of Worldwide Amazon Stores) Brad Smith (President of Microsoft) Tripp Jones (Partner at Uncork Capital) Ali Partovi (co-founder of Code.org , early investor in Dropbox and Airbnb) Russ Heddleston (CEO of Docsend) Alex Mashrabov (Snapchat, Director of AI) Faizan Mehdi (Affinity, Director of Demand Generation) Our Perks 🏥 Health, dental, and mental health benefits 💻 Hybrid work in Toronto and NYC offices 🚀 Competitive salary 🏝 Flexible PTO 🎉 Regular company retreats 💡Mentorship opportunities with our world-class team, advisors, and investors 🙌 Wellness and learning stipend At GPTZero, our recruiting team is involved in every step of the hiring process. We use AI-based tools (such as Endorsed.ai and Juicebox.ai) to help us to accelerate candidates at the resume review stage by marking when candidates met certain key criteria. These tools are never the final say in a hiring decision - humans are.

Full job record

Job IDaed13a60f81829e6b256813bec2deeaaf1522903
Org IDca44292e-2038-45cb-8f22-9df2c4f185e2
Source ID955acd3d-4cc1-4f7b-b208-04fa58c20edd
Board ID955acd3d-4cc1-4f7b-b208-04fa58c20edd
Providerashby
Provider Job Keyd7e6f3ee-8446-4ac4-b1f8-e79c9876c31a
TitleMachine Learning Intern
Normalized Title
Statusactive
Activeyes
Location TextToronto Hybrid
DepartmentMachine Learning
TeamMachine Learning
Employment Typeinternship
Workplace Typeremote
Remote Policyhybrid
CountryCanada
RegionON
CityToronto
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://jobs.ashbyhq.com/gptzero/d7e6f3ee-8446-4ac4-b1f8-e79c9876c31a
Apply URLhttps://jobs.ashbyhq.com/gptzero/d7e6f3ee-8446-4ac4-b1f8-e79c9876c31a/application
First Seen At2026-05-29 06:27:35Z
Last Seen At2026-06-06 09:17:40Z
Last Checked At2026-06-06 09:17:40Z
Last Changed At2026-05-29 06:27:35Z
Inactive At
Source Posted At
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=ashby/board=gptzero/date=2026-06-06/2026-06-06T09-17-29-315Z-c33875c763e85a820abc4299d9cd51f44a1b178365c662ddf61509b20a40abb7.json
Event Fields
{
  "content_hash": "e97673bb11fb9f636968b1ca05bc789b2e648c0183c0759c5067db1ff8914ffe",
  "source_hash": "b0937ece4a3f57b2c4db97dad6820315df4477dd80c9c0598234496bbf92515d",
  "last_changed_at": "2026-05-29T06:27:35.784Z",
  "active_status": "active"
}
Parsed Structured
{
  "language": "en",
  "location": {
    "raw": "Toronto Hybrid",
    "city": "Toronto",
    "region": "ON",
    "country": "Canada",
    "is_remote": true,
    "confidence": 0.75
  },
  "salary_max": null,
  "salary_min": null,
  "inferred_at": "2026-06-06T09:17:40.650Z",
  "launch_scope": {
    "reason": "english_us_canada",
    "included": true,
    "language": "en",
    "location": {
      "raw": "Toronto Hybrid",
      "city": "Toronto",
      "region": "ON",
      "country": "Canada",
      "is_remote": true,
      "confidence": 0.75
    },
    "countries": [
      "Canada"
    ]
  },
  "remote_policy": "hybrid",
  "salary_period": null,
  "workplace_type": "remote",
  "salary_currency": null
}
Extensions
{}
Native Structured
{
  "id": "d7e6f3ee-8446-4ac4-b1f8-e79c9876c31a",
  "team": "Machine Learning",
  "title": "Machine Learning Intern",
  "jobUrl": "https://jobs.ashbyhq.com/gptzero/d7e6f3ee-8446-4ac4-b1f8-e79c9876c31a",
  "address": null,
  "applyUrl": "https://jobs.ashbyhq.com/gptzero/d7e6f3ee-8446-4ac4-b1f8-e79c9876c31a/application",
  "isListed": true,
  "isRemote": true,
  "location": "Toronto Hybrid",
  "updatedAt": null,
  "apiVersion": "ashby-non-user-graphql-v1",
  "department": "Machine Learning",
  "publishedAt": null,
  "workplaceType": "Remote",
  "employmentType": "Intern",
  "secondaryLocations": [
    {
      "location": "NYC Hybrid"
    }
  ]
}
Get this page with API

Rendered from the bluedoor Job Postings API. Reproduce it:

GET https://api.bluedoor.sh/job-postings/v1/jobs/aed13a60f81829e6b256813bec2deeaaf1522903?include=descriptionJSON
GET https://api.bluedoor.sh/job-postings/v1/orgs/ca44292e-2038-45cb-8f22-9df2c4f185e2JSON
GET https://api.bluedoor.sh/job-postings/v1/sources/955acd3d-4cc1-4f7b-b208-04fa58c20eddJSON
GET https://api.bluedoor.sh/job-postings/v1/jobs/aed13a60f81829e6b256813bec2deeaaf1522903/eventsJSON