jobctl

Senior Staff Machine Learning Engineer, Agentic AI Platform (Ads Ranking)

Reddit - Remote - United States - original posting ->
Status
Open
Remote policy
Remote
Employment type
Not stated
Salary
292,500-409,500 USD / year
Categories
Ads Product & Engineering
Tech
pythonremote-countrymlstaff
Source
reddit
First observed
2026-09-15 21:32 UTC
Last seen
2026-10-08 15:01 UTC
Source claims posted
2026-09-15 18:58 UTC
Consecutive misses
0 of 3

What the posting says

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com.

About the Role:

We are seeking a Senior Staff Machine Learning Engineer to define and accelerate how we leverage agentic AI to transform machine learning models and modeling workflows. This high-impact role focuses directly on modeling leverage—enhancing model quality and velocity—rather than building general infrastructure. As a senior staff engineer, you will operate as a technical leader across the entire modeling loop, utilizing modern AI-assisted development systems (such as Claude, Cursor, and comparable tools) to make model development faster, more rigorous, and significantly more effective across the organization.

Why Join Us? This role offers a domain-flexible platform to redefine how ML engineering is done. If you are passionate about combining deep ML fundamentals with the vanguard of agentic AI to multiply team impact, we’d love to talk to you.

What you’ll do:

Develop advanced ML models and the agentic workflows that help teams design, train, evaluate, and improve them.

Use tools such as Claude, Cursor, and comparable AI-assisted development systems to investigate model behavior, generate and test hypotheses, automate repetitive analysis, and improve code and experiments.

Build reliable loops for data and label analysis, feature and embedding development, architecture comparison, hyperparameter optimization, error analysis, and experiment readouts.

Design evaluation harnesses that measure both model outcomes and agent/workflow quality, including correctness, reproducibility, regressions, cost, and latency.

Partner with product, data science, ML infrastructure, and engineering teams to connect modeling improvements to user and business outcomes.

Set technical direction across teams, mentor engineers, and raise the bar for modeling rigor and AI-assisted engineering.

Required Qualifications:

9+ years of experience in ML engineering, applied ML, or a related field, with substantial production impact.

Senior Staff-level technical leadership and a record of influencing direction across teams.

Deep modeling expertise and strong fundamentals in data, objectives, architectures, optimization, evaluation, and experimentation.

Concrete examples of using agentic AI or AI coding tools to produce better ML outcomes—not just faster code generation.

Ability to design guardrails and evaluations that make autonomous or semi-autonomous workflows trustworthy.

Strong coding ability in Python and fluency with modern ML frameworks and data tooling.

Clear, concise communication and a collaborative, low-ego approach to technical leadership.

Perks and Benefits:

100% remote opportunity (we have 4 office locations for hybrid/onsite work preference in NY, SF, LA and Chicago)

Competitive salary and equity options

Comprehensive health benefits (medical, dental, vision) & workplace perks (home office set up stipend etc)

Generous 401k matching

Flexible vacation policy

Paid parental leave (4+ months)

Family planning support

Paid volunteer time off

#LI-AS1

Pay Transparency:

This job posting may span more than one career level.

In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/.

To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.

The base salary range for this position is:

$292,500—$409,500 USD

In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.

During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors.

Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Quality

Completeness: 100%
Honesty: 100%

Based on 51 observation(s).

Timeline

  1. *
    #777843 2026-09-15 21:32 UTC
    Published
  2. ~
    #782429 2026-09-16 01:32 UTC
    Modified
    • source_updated_at
      2026-09-15T14:58:04-04:00->2026-09-15T20:14:46-04:00
  3. ~
    #791083 2026-09-16 13:32 UTC
    Modified
    • source_updated_at
      2026-09-15T20:14:46-04:00->2026-09-16T08:26:58-04:00
  4. ~
    #804730 2026-09-17 01:33 UTC
    Modified
    • source_updated_at
      2026-09-16T08:26:58-04:00->2026-09-16T20:16:50-04:00
  5. ~
    #814044 2026-09-17 13:34 UTC
    Modified
    • source_updated_at
      2026-09-16T20:16:50-04:00->2026-09-17T08:26:32-04:00
  6. ~
    #824042 2026-09-18 01:44 UTC
    Modified
    • source_updated_at
      2026-09-17T08:26:32-04:00->2026-09-17T20:16:44-04:00
  7. ~
    #834942 2026-09-18 13:44 UTC
    Modified
    • source_updated_at
      2026-09-17T20:16:44-04:00->2026-09-18T08:33:29-04:00
  8. ~
    #854183 2026-09-19 01:45 UTC
    Modified
    • source_updated_at
      2026-09-18T08:33:29-04:00->2026-09-18T20:21:00-04:00
  9. ~
    #862137 2026-09-19 13:45 UTC
    Modified
    • source_updated_at
      2026-09-18T20:21:00-04:00->2026-09-19T08:20:59-04:00
  10. ~
    #869895 2026-09-20 01:50 UTC
    Modified
    • source_updated_at
      2026-09-19T08:20:59-04:00->2026-09-19T20:14:59-04:00
  11. ~
    #877636 2026-09-20 13:50 UTC
    Modified
    • source_updated_at
      2026-09-19T20:14:59-04:00->2026-09-20T08:19:46-04:00
  12. ~
    #883910 2026-09-21 01:50 UTC
    Modified
    • source_updated_at
      2026-09-20T08:19:46-04:00->2026-09-20T20:07:14-04:00
  13. ~
    #894225 2026-09-21 13:51 UTC
    Modified
    • source_updated_at
      2026-09-20T20:07:14-04:00->2026-09-21T08:16:17-04:00
  14. ~
    #912719 2026-09-22 01:53 UTC
    Modified
    • source_updated_at
      2026-09-21T08:16:17-04:00->2026-09-21T20:22:22-04:00
  15. ~
    #922400 2026-09-22 13:55 UTC
    Modified
    • source_updated_at
      2026-09-21T20:22:22-04:00->2026-09-22T08:28:18-04:00
  16. ~
    #934614 2026-09-23 01:56 UTC
    Modified
    • source_updated_at
      2026-09-22T08:28:18-04:00->2026-09-22T20:11:05-04:00
  17. ~
    #946228 2026-09-23 14:02 UTC
    Modified
    • source_updated_at
      2026-09-22T20:11:05-04:00->2026-09-23T08:21:05-04:00
  18. ~
    #960200 2026-09-24 02:03 UTC
    Modified
    • source_updated_at
      2026-09-23T08:21:05-04:00->2026-09-23T20:16:38-04:00
  19. ~
    #970897 2026-09-24 14:03 UTC
    Modified
    • source_updated_at
      2026-09-23T20:16:38-04:00->2026-09-24T08:23:26-04:00
  20. ~
    #987547 2026-09-25 02:06 UTC
    Modified
    • source_updated_at
      2026-09-24T08:23:26-04:00->2026-09-24T20:18:50-04:00
  21. ~
    #998217 2026-09-25 14:11 UTC
    Modified
    • source_updated_at
      2026-09-24T20:18:50-04:00->2026-09-25T08:16:18-04:00
  22. ~
    #1010569 2026-09-26 02:15 UTC
    Modified
    • source_updated_at
      2026-09-25T08:16:18-04:00->2026-09-25T20:21:39-04:00
  23. ~
    #1017797 2026-09-26 14:20 UTC
    Modified
    • source_updated_at
      2026-09-25T20:21:39-04:00->2026-09-26T08:15:07-04:00
  24. ~
    #1025390 2026-09-27 02:20 UTC
    Modified
    • source_updated_at
      2026-09-26T08:15:07-04:00->2026-09-26T20:32:50-04:00
  25. ~
    #1032152 2026-09-27 14:20 UTC
    Modified
    • source_updated_at
      2026-09-26T20:32:50-04:00->2026-09-27T08:38:19-04:00
  26. ~
    #1038868 2026-09-28 02:28 UTC
    Modified
    • source_updated_at
      2026-09-27T08:38:19-04:00->2026-09-27T20:21:26-04:00
  27. ~
    #1046985 2026-09-28 14:28 UTC
    Modified
    • source_updated_at
      2026-09-27T20:21:26-04:00->2026-09-28T08:16:37-04:00
  28. ~
    #1057174 2026-09-29 02:28 UTC
    Modified
    • source_updated_at
      2026-09-28T08:16:37-04:00->2026-09-28T20:29:02-04:00
  29. ~
    #1068422 2026-09-29 14:36 UTC
    Modified
    • source_updated_at
      2026-09-28T20:29:02-04:00->2026-09-29T08:21:46-04:00
  30. ~
    #1083348 2026-09-30 02:43 UTC
    Modified
    • source_updated_at
      2026-09-29T08:21:46-04:00->2026-09-29T20:12:35-04:00
  31. ~
    #1091959 2026-09-30 14:43 UTC
    Modified
    • source_updated_at
      2026-09-29T20:12:35-04:00->2026-09-30T08:21:33-04:00
  32. ~
    #1103097 2026-10-01 02:44 UTC
    Modified
    • source_updated_at
      2026-09-30T08:21:33-04:00->2026-09-30T20:19:15-04:00
  33. ~
    #1109584 2026-10-01 10:45 UTC
    Modified
    • source_updated_at
      2026-09-30T20:19:15-04:00->2026-10-01T03:25:10-04:00
  34. ~
    #1114615 2026-10-01 14:49 UTC
    Modified
    • source_updated_at
      2026-10-01T03:25:10-04:00->2026-10-01T08:08:31-04:00
  35. ~
    #1125940 2026-10-02 02:59 UTC
    Modified
    • source_updated_at
      2026-10-01T08:08:31-04:00->2026-10-01T20:20:53-04:00
  36. ~
    #1137152 2026-10-02 15:26 UTC
    Modified
    • source_updated_at
      2026-10-01T20:20:53-04:00->2026-10-02T08:26:05-04:00
  37. ~
    #1148732 2026-10-03 03:48 UTC
    Modified
    • source_updated_at
      2026-10-02T08:26:05-04:00->2026-10-02T20:07:43-04:00
  38. ~
    #1156590 2026-10-03 15:54 UTC
    Modified
    • source_updated_at
      2026-10-02T20:07:43-04:00->2026-10-03T08:09:18-04:00
  39. ~
    #1165423 2026-10-04 03:55 UTC
    Modified
    • source_updated_at
      2026-10-03T08:09:18-04:00->2026-10-03T20:08:53-04:00
  40. ~
    #1171624 2026-10-04 15:55 UTC
    Modified
    • source_updated_at
      2026-10-03T20:08:53-04:00->2026-10-04T08:27:26-04:00
  41. ~
    #1177869 2026-10-05 03:59 UTC
    Modified
    • source_updated_at
      2026-10-04T08:27:26-04:00->2026-10-04T20:10:21-04:00
  42. ~
    #1186443 2026-10-05 14:45 UTC
    Modified
    • source_updated_at
      2026-10-04T20:10:21-04:00->2026-10-05T08:24:37-04:00
  43. ~
    #1192623 2026-10-05 22:46 UTC
    Modified
    • source_updated_at
      2026-10-05T08:24:37-04:00->2026-10-05T16:12:43-04:00
  44. ~
    #1196398 2026-10-06 02:15 UTC
    Modified
    • source_updated_at
      2026-10-05T16:12:43-04:00->2026-10-05T20:12:15-04:00
  45. ~
    #1208098 2026-10-06 14:29 UTC
    Modified
    • categories
      Not stated->Not stated
    • source_updated_at
      2026-10-05T20:12:15-04:00->2026-10-06T10:15:17-04:00
  46. ~
    #1214392 2026-10-06 18:29 UTC
    Modified
    • source_updated_at
      2026-10-06T10:15:17-04:00->2026-10-06T13:20:28-04:00
  47. ~
    #1224486 2026-10-07 02:42 UTC
    Modified
    • source_updated_at
      2026-10-06T13:20:28-04:00->2026-10-06T20:15:17-04:00
  48. ~
    #1227267 2026-10-07 06:42 UTC
    Modified
    • source_updated_at
      2026-10-06T20:15:17-04:00->2026-10-07T02:13:50-04:00
  49. ~
    #1234343 2026-10-07 14:48 UTC
    Modified
    • source_updated_at
      2026-10-07T02:13:50-04:00->2026-10-07T08:30:25-04:00
  50. ~
    #1246041 2026-10-08 02:49 UTC
    Modified
    • source_updated_at
      2026-10-07T08:30:25-04:00->2026-10-07T20:18:54-04:00
  51. ~
    #1255999 2026-10-08 15:01 UTC
    Modified
    • Title
      Senior Staff Machine Learning Engineer, Ads Ranking ->Senior Staff Machine Learning Engineer, Agentic AI Platform (Ads Ranking)
    • source_updated_at
      2026-10-07T20:18:54-04:00->2026-10-08T09:31:40-04:00