bluedoor data·Job Postings API·bluedoor.sh ↗

HomeCompaniesMrBeastSenior Machine Learning Engineer

Senior Machine Learning Engineer

MrBeast · San Francisco · Hybrid · Active · Greenhouse

Job facts

FieldValue
CompanyMrBeast
TitleSenior Machine Learning Engineer
Normalized title-
Department / teamMBYT
LocationSan Francisco, CA, United States
Work modelHybrid / Hybrid
Employment type-
Salary-
Statusactive
ATS providerGreenhouse
Posted / first seen2026-06-17 / 2026-06-18
Changed / last seen2026-06-20 / 2026-06-20

Related slices

PageWhat it containsOpen
Company jobsActive postings from MrBeast.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Greenhouse.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in San Francisco.Open
Department jobsActive postings in MBYT.Open
Work model jobsActive Hybrid 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

CompanyMrBeast
Sourceb54ef21d-6e29-4bb6-932b-9e6d6e2cddbb
ATS providerGreenhouse

Description

About Us Beast Industries is a multifaceted media and entertainment company founded by Jimmy Donaldson, popularly known as MrBeast, the most watched person in the world. Renowned for revolutionizing digital content creation, Beast Industries encompasses a diverse portfolio of ventures that extend far beyond its origins on YouTube. With a mission to entertain, inspire, and create significant social impact, Beast Industries operates across various domains including digital media, philanthropy, consumer products, and innovative business initiatives. At Beast Industries, we believe in the transformative power of digital media and its potential to entertain, educate, and effect positive change. Our commitment to innovation, creativity, and philanthropy drives us to explore new frontiers, create unforgettable experiences, and build a legacy that inspires future generations. Senior Machine Learning Engineer Primary: Bay Area (San Francisco / Peninsula) | Secondary: NYC The Opportunity We're doing an AI-first engineering rebuild for a company that already has an audience of 100M+ people. This is a zero-to-one build with no legacy constraints, so you get to stand up ML systems the right way from day one. You're here to ship machine learning that creates real, measurable value for a massive consumer audience. The Product You'll design, build, deploy, and operate ML systems that power the MrBeast ecosystem, bridging data science, software engineering, and platform engineering to ship production-grade capabilities. That means: Build scalable ML systems and services that move real business metrics for an audience of 100M+ people. Own the full lifecycle: pipelines for data processing, feature engineering, training, validation, deployment, and monitoring. Set the bar for AI-first engineering, including how we test new model capabilities and bring them into production. What You'll Do Design and implement scalable ML systems and services for production. Develop, evaluate, and optimize models against real business problems. Build and maintain ML pipelines across data processing, features, training, validation, and deployment. Establish monitoring, observability, and model-performance tracking. Partner with product, data scientists, and software engineers to define and ship ML solutions. Drive architecture decisions for ML infrastructure and platform capabilities, and cut deployment cycle time. Mentor engineers, set best practices, and make sure systems meet security, reliability, and compliance bars. Who You Are AI-Native: You live and breathe this: you're already burning through tokens daily, and shipping ML is the job itself. Production ML Builder: Typically 8+ years in software or ML engineering, with strong experience deploying and operating ML systems in production and solid Python and software engineering practice. Systems Thinker: You've designed scalable distributed systems and data-intensive applications, and you know why a model that looks great offline can fail in production. Evidence-Driven Owner: You decide with experimentation and measurable results, and you own outcomes from design through production operation. Bonus points for MLOps platforms and automated model lifecycle management, cloud-native ML architectures and distributed training, responsible AI and model governance, and leading technical initiatives across multiple teams. Benefits Equity: Highly competitive equity package designed for a foundational hire. Hybrid Model: Expected ~3 days per week in-office (Bay Area or NYC). Benefits The Perks, Why Work On the MrBeast Team We are redefining what entertainment and storytelling look like at global scale. Every piece of content we publish reaches millions and influences culture in real time. This is your opportunity to lead the team that decides how those moments come to life across every screen. Competitive Salary Generous Medical (Blue Cross Blue Shield), Dental, Vision and company-paid Life Insurance Company contributions to employee Health Savings Accounts (HSA) 401k Plan with Safe Harbor company-matching Flexible vacation policy and paid company holidays Company-provided technology package Relocation assistance where applicable, including travel and company-provided housing for the first 90 days

Full job record

Job IDc23c59a5f0c48750f82ad8219b4c58de7e64c139
Org IDf5c2b89d-4bfd-4a57-a840-790f10c56a1c
Source IDb54ef21d-6e29-4bb6-932b-9e6d6e2cddbb
Board IDb54ef21d-6e29-4bb6-932b-9e6d6e2cddbb
Providergreenhouse
Provider Job Key6093126004
TitleSenior Machine Learning Engineer
Normalized Title
Statusactive
Activeyes
Location TextSan Francisco
DepartmentMBYT
Team
Employment Type
Workplace Typehybrid
Remote Policyhybrid
CountryUnited States
RegionCA
CitySan Francisco
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://job-boards.greenhouse.io/mrbeastyoutube/jobs/6093126004
Apply URLhttps://job-boards.greenhouse.io/mrbeastyoutube/jobs/6093126004
First Seen At2026-06-18 07:37:02Z
Last Seen At2026-06-20 07:37:49Z
Last Checked At2026-06-20 07:37:49Z
Last Changed At2026-06-20 07:37:49Z
Inactive At
Source Posted At2026-06-17 22:03:53Z
Source Updated At2026-06-19 19:51:02Z
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=greenhouse/board=mrbeastyoutube/date=2026-06-20/2026-06-20T07-37-49-300Z-cc6cee9795b4b48f5bdfc1399aa97af076f0378d00c0b7cee871281c2a51de5d.json
Event Fields
{
  "content_hash": "ca584a10866a01d55ac3ca152faba204581bee6a26dfb450aaa98ded53c89a93",
  "source_hash": "22d2b5147f2d718d990f4e19df6edcc196c09657c12a315c5a3136beebf62c0a",
  "last_changed_at": "2026-06-20T07:37:49.561Z",
  "active_status": "active"
}
Parsed Structured
{
  "dedupe": null,
  "language": "en",
  "location": {
    "raw": "San Francisco",
    "city": "San Francisco",
    "region": "CA",
    "country": "United States",
    "is_remote": false,
    "confidence": 0.75
  },
  "salary_max": null,
  "salary_min": null,
  "inferred_at": "2026-06-20T07:37:49.544Z",
  "launch_scope": {
    "reason": "english_us_canada",
    "included": true,
    "language": "en",
    "location": {
      "raw": "San Francisco",
      "city": "San Francisco",
      "region": "CA",
      "country": "United States",
      "is_remote": false,
      "confidence": 0.75
    },
    "countries": [
      "United States"
    ]
  },
  "remote_policy": "hybrid",
  "salary_period": null,
  "workplace_type": "hybrid",
  "salary_currency": null
}
Extensions
{}
Native Structured
{
  "title": "Senior Machine Learning Engineer",
  "offices": [
    {
      "id": 4067178004,
      "name": "US",
      "location": null,
      "child_ids": [
        4067179004,
        4067180004,
        4067181004,
        4067182004,
        4110180004
      ],
      "parent_id": null
    }
  ],
  "language": "en",
  "location": {
    "name": "San Francisco"
  },
  "metadata": [
    {
      "id": 26617651004,
      "name": "Pay Range",
      "value": null,
      "value_type": "currency_range"
    }
  ],
  "updated_at": "2026-06-19T15:51:02-04:00",
  "departments": [
    {
      "id": 4094543004,
      "name": "MBYT",
      "child_ids": [
        4094552004,
        4094549004,
        4094550004,
        4094551004,
        4094583004,
        4094555004,
        4094557004,
        4094562004,
        4094558004,
        4094559004,
        4094560004,
        4094563004,
        4094564004,
        4094568004,
        4094569004,
        4094570004,
        4094571004,
        4094575004,
        4094577004,
        4094578004,
        4094582004,
        4094587004,
        4094572004,
        4094544004,
        4094565004,
        4094584004,
        4094585004,
        4094586004
      ],
      "parent_id": null
    }
  ],
  "company_name": "MrBeast",
  "requisition_id": 5175037004,
  "first_published": "2026-06-17T18:03:53-04:00",
  "application_deadline": null
}
Get this page with API

Rendered from the bluedoor Job Postings API. Reproduce it:

GET https://api.bluedoor.sh/job-postings/v1/jobs/c23c59a5f0c48750f82ad8219b4c58de7e64c139?include=descriptionJSON
GET https://api.bluedoor.sh/job-postings/v1/orgs/f5c2b89d-4bfd-4a57-a840-790f10c56a1cJSON
GET https://api.bluedoor.sh/job-postings/v1/sources/b54ef21d-6e29-4bb6-932b-9e6d6e2cddbbJSON
GET https://api.bluedoor.sh/job-postings/v1/jobs/c23c59a5f0c48750f82ad8219b4c58de7e64c139/eventsJSON