RedditHiring

Machine Learning Engineering Manager, Core Ads Ranking

  • Remote, United States
  • Lead
  • Posted 9 days ago
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or apply from Claude / ChatGPT / Muse

In one line

Management role leading a machine learning team working on foundational models and user understanding for ads ranking, at a platform with around 130 million daily visitors.

About the role

Best for a leader with deep ML knowledge who can balance long-term research bets with clear milestones. The team works closely with retrieval, shopping, click prediction, video and conversion modelling groups.

At a glance

Pay
Not stated in the posting
Remote scope
Remote, United States
Seniority
Lead
Skills
TensorFlow, PyTorch, Machine learning, Knowledge distillation, Model calibration
Posted
26 Oct 2026
Last checked
3 Nov 2026

What you will do

  • Define and execute the roadmap for foundational models and user understanding
  • Partner with vertical, signal and infrastructure teams on direction and priorities
  • Oversee model development from idea through deployment, keeping performance and reliability high
  • Recruit, mentor and keep ML engineers and build a collaborative team culture

What they look for

  • At least one year managing ML-focused teams
  • Six or more years building and scaling machine learning models
  • Four or more years of hands-on work with TensorFlow or PyTorch
  • Experience training, evaluating and deploying large-scale models end to end
  • Background with foundational models or user and content understanding

Nice to have

  • Experience with advertising

Benefits

  • Health cover, income replacement and a 401k with employer match
  • Family planning support, gender-affirming care and mental health coaching
  • Flexible vacation, paid volunteer time and paid parental leave

How Keywordise applies for you

  1. 1Upload your CVAdd your CV once. It takes about a minute.
  2. 2Tailored to this jobKeywordise writes a CV and a cover letter for this job from your real experience.
  3. 3The form fills itselfName, email, experience and screening questions, field by field.
  4. 4Application sentYou get a receipt and follow it in your dashboard.

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Apply from your AI assistant

Connect Keywordise to your assistant once, then send it the prompt. It applies for you.

ClaudeConnectorChatGPTConnectorMuseby Meta

Claude

  1. In Claude, open Settings, then Connectors, and choose Add custom connector.
  2. Name it Keywordise and paste the connector URL.
  3. Click Connect, log in to Keywordise and approve. Then send the prompt in a new chat.
Connector URL
https://keywordise.com/mcp

Disconnect any time in your Keywordise settings.

ChatGPT

  1. In ChatGPT, open Settings, then Connectors. On plans that need it, turn on developer mode first.
  2. Add a new connector with the connector URL and choose OAuth. Leave the client ID and secret empty.
  3. Log in to Keywordise and approve. Then send the prompt in a new chat.
Connector URL
https://keywordise.com/mcp

Disconnect any time in your Keywordise settings.

Muse

  1. Open Muse (muse.ai or the app) and send it the message below.
  2. If Muse asks how to sign in, answer OAuth. Open the sign-in link it sends, log in to Keywordise and approve.
  3. Send the prompt. Muse asks before it sends anything.
Message for Muse
Add a custom connector called Keywordise. It is a remote MCP server at https://keywordise.com/mcp and uses OAuth. Give me the sign-in link.

Muse is available in the US only for now.

Prompt
Apply to Keywordise job yj23gilsoc
How to connect

Questions about this job

Is this job fully remote, and from where?

Yes. The posting lists Machine Learning Engineering Manager, Core Ads Ranking as a remote role for candidates in the United States.

What does this job pay?

No pay range is stated in the posting.

What experience is needed?

It is a lead role. The posting asks for: at least one year managing ML-focused teams; six or more years building and scaling machine learning models; four or more years of hands-on work with TensorFlow or PyTorch. Skills it names include TensorFlow, PyTorch, Machine learning, Knowledge distillation.

How do I apply with Keywordise AI?

Select Apply with Keywordise AI, sign up and upload your CV. Keywordise writes a CV and a cover letter for this job from your real experience and applies for you. The 7-day free trial needs no card.

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