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HomeCompaniesCharacterResearch Engineer, Post-Training (All Industry Levels)

Research Engineer, Post-Training (All Industry Levels)

Character · Redwood City or New York City · Hybrid · Active · Ashby

Job facts

FieldValue
CompanyCharacter
TitleResearch Engineer, Post-Training (All Industry Levels)
Normalized title-
Department / teamTechnical Staff - ML / Technical Staff - ML
LocationNew York City, NY, United States
Work modelHybrid / Hybrid
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 Character.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 New York City.Open
Department jobsActive postings in Technical Staff - ML.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

CompanyCharacter
Source5cc18698-d051-4391-9efd-d7f87e30c65a
ATS providerAshby

Description

About the role and team Joining us as a Research Engineer on the Post-Training team, you'll be diving into the exciting world of fine-tuning AI models, optimizing their performance, and ensuring they meet the highest standards of quality and efficiency. Your work will directly contribute to our groundbreaking advancements in AI, helping shape an era where technology is not just a tool, but a companion in our daily lives. At Character.AI , your talent, creativity, and expertise will not just be valued—they will be the catalyst for change in an AI-driven future. The Post-Training team is responsible for developing our powerful pretrained language models into intelligent, engaging, and aligned products. As a Post-Training Researcher, you will work across teams and our technical stack to improve our model performance and training methods, including data, compute and algorithms. You will get to shape the conversational experience of millions of users per day. What you'll do Develop alignment algorithms and loss functions to improve data sample efficiency. Write data pipelines to process diverse web data into a format models can ingest. Identify quality signals to understand our model’s performance in the real world. Design sampling algorithms to improve serving efficiency of large generative models. Who you are "All Industry Levels": have at least PhD (or equivalent) Write clear and clean production-facing and training code Experience working with GPUs (training, serving, debugging) Experience with data pipelines and data infrastructure Strong understanding of modern machine learning techniques (reinforcement learning, transformers, etc) Track-record of exceptional research or creative applied ML projects Nice to Have Experience with product experimentation and A/B testing Experience training large models in a distributed setting Familiarity with ML deployment and orchestration (Kubernetes, Docker, cloud) Publications in relevant academic journals or conferences in the field of machine learning About Character.AI Character.AI empowers people to connect, learn and tell stories through interactive entertainment. Over 20 million people visit Character.AI every month, using our technology to supercharge their creativity and imagination. Our platform lets users engage with tens of millions of characters, enjoy unlimited conversations, and embark on infinite adventure s. In just two years, we achieved unicorn status and were honored as Google Play's AI App of the Year—a testament to our innovative technology and visionary approach. Join us and be a part of establishing this new entertainment paradigm while shaping the future of Consumer AI! At Character, we value diversity and welcome applicants from all backgrounds. As an equal opportunity employer, we firmly uphold a non-discrimination policy based on race, religion, national origin, gender, sexual orientation, age, veteran status, or disability. Your unique perspectives are vital to our success.

Full job record

Job ID6e4732fb6a9e0940d4cedc42912a480292827e08
Org ID9adfea1f-716c-40c2-be68-6586a91c4794
Source ID5cc18698-d051-4391-9efd-d7f87e30c65a
Board ID5cc18698-d051-4391-9efd-d7f87e30c65a
Providerashby
Provider Job Key449bf7c1-41d7-47a4-89a7-0ee0b31f5918
TitleResearch Engineer, Post-Training (All Industry Levels)
Normalized Title
Statusactive
Activeyes
Location TextRedwood City or New York City
DepartmentTechnical Staff - ML
TeamTechnical Staff - ML
Employment Typefull_time
Workplace Typehybrid
Remote Policyhybrid
CountryUnited States
RegionNY
CityNew York City
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://jobs.ashbyhq.com/character/449bf7c1-41d7-47a4-89a7-0ee0b31f5918
Apply URLhttps://jobs.ashbyhq.com/character/449bf7c1-41d7-47a4-89a7-0ee0b31f5918/application
First Seen At2026-05-29 05:59:53Z
Last Seen At2026-06-06 20:28:56Z
Last Checked At2026-06-06 20:28:56Z
Last Changed At2026-05-29 05:59:53Z
Inactive At
Source Posted At
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=ashby/board=character/date=2026-06-06/2026-06-06T20-28-54-781Z-d88f534246218fb978e2f8bc370e9bfa53e928e6b5e6b0de1437c2ce837148d9.json
Event Fields
{
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  "source_hash": "2d7a095faa578976b3a7bcd5898e1cd3baf38fe7a8ff0155672fbdedb5569909",
  "last_changed_at": "2026-05-29T05:59:53.577Z",
  "active_status": "active"
}
Parsed Structured
{
  "language": "en",
  "location": {
    "raw": "New York City",
    "city": "New York City",
    "region": "NY",
    "country": "United States",
    "is_remote": false,
    "confidence": 0.75
  },
  "salary_max": null,
  "salary_min": null,
  "inferred_at": "2026-06-06T20:28:56.559Z",
  "launch_scope": {
    "reason": "english_us_canada",
    "included": true,
    "language": "en",
    "location": {
      "raw": "New York City",
      "city": "New York City",
      "region": "NY",
      "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
{
  "id": "449bf7c1-41d7-47a4-89a7-0ee0b31f5918",
  "team": "Technical Staff - ML",
  "title": "Research Engineer, Post-Training (All Industry Levels)",
  "jobUrl": "https://jobs.ashbyhq.com/character/449bf7c1-41d7-47a4-89a7-0ee0b31f5918",
  "address": null,
  "applyUrl": "https://jobs.ashbyhq.com/character/449bf7c1-41d7-47a4-89a7-0ee0b31f5918/application",
  "isListed": true,
  "isRemote": false,
  "location": "Redwood City or New York City",
  "updatedAt": null,
  "apiVersion": "ashby-non-user-graphql-v1",
  "department": "Technical Staff - ML",
  "publishedAt": null,
  "workplaceType": "Hybrid",
  "employmentType": "FullTime",
  "secondaryLocations": []
}
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GET https://api.bluedoor.sh/job-postings/v1/jobs/6e4732fb6a9e0940d4cedc42912a480292827e08?include=descriptionJSON
GET https://api.bluedoor.sh/job-postings/v1/orgs/9adfea1f-716c-40c2-be68-6586a91c4794JSON
GET https://api.bluedoor.sh/job-postings/v1/sources/5cc18698-d051-4391-9efd-d7f87e30c65aJSON
GET https://api.bluedoor.sh/job-postings/v1/jobs/6e4732fb6a9e0940d4cedc42912a480292827e08/eventsJSON