Remote job · IT and software
Staff Machine Learning Engineer, Content Visual AI
In one line: Staff Machine Learning Engineer, Content Visual AI is a remote role in the United States at a consumer technology platform.
- Remote (US)
- A consumer technology platform
- Posted 8 Oct 2026
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https://keywordise.com/mcpApply to Keywordise job 2h7ptfpqxhAbout the role
A technical lead role setting direction for foundational machine learning that helps a large platform understand content and users, turning advances in multimodal models into product impact.
At a glance
- PayNot stated in the posting
- Remote scopeRemote, United States
- Posted8 Oct 2026
- Last checked18 Oct 2026
What you will do
- Lead scientific and technical initiatives from problem definition through experimentation, production and adoption.
- Build reusable embeddings, semantic signals and ML infrastructure using VLMs, LLMs, sequence modeling, retrieval and distillation.
- Mentor engineers and scientists.
What they look for
- Experience leading ambiguous, high-impact scientific and engineering work.
- Strong ML judgment combined with product intuition.
- Expertise in visual representation learning and content understanding.
- Relevant experience with user understanding, recommender systems and LLMs.
Questions about this job
Is this a remote job, and where can I work from?
The posting lists it as remote for people in the United States.
What does this job pay?
The posting does not state a salary, so there is no figure to quote.
What experience is needed?
The posting asks for: experience leading ambiguous, high-impact scientific and engineering work; strong ML judgment combined with product intuition; expertise in visual representation learning and content understanding.
How do I apply with Keywordise AI?
Press the Apply with Keywordise AI button and add your CV. Keywordise tailors your CV and cover letter to this posting and sends the application for you, with a free 7-day trial and no card.
How it works
- 1Upload your CVSign up with Google or your email and add your CV. It takes about a minute.
- 2We tailor your applicationKeywordise writes a CV and a cover letter for this job from your real experience.
- 3We apply for youYour application goes to the employer and you follow it in your dashboard.
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