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Senior Talent Partner — AI & ML hiring

AI role · Open offer

Senior Talent Partner — AI & ML hiring

LinkedIn

Full-time
Senior
Technical recruiting
Hybrid
1000 W Maude Ave, Sunnyvale, CA 94085, United States · Hybrid
Sunnyvale, United States
USD 130k–165k/year + bonus

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LinkedIn

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Posted on Ganloss

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At a glance

How you'll work, where, and key listing dates.

Employment: Full-time
Workplace: Hybrid
Location: 1000 W Maude Ave, Sunnyvale, CA 94085, United States · Hybrid
Compensation: USD 130k–165k/year + bonus
Experience level: Senior
Team: Technical recruiting
Benefits & perks: Bonus, equity, hybrid Silicon Valley.
How to apply: Full-cycle AI/ML hiring with structured loops and diversity outcomes.
Company site: www.linkedin.com
Listed: Jul 1, 2026
Updated: Aug 3, 2026

About this role

What the team is looking for and how this position fits.

LinkedIn is hiring a Senior Senior Talent Partner — AI & ML hiring on the Technical recruiting team (Hybrid · Sunnyvale, United States). This is a hands-on role in LLM & generative AI—not a generic “AI enthusiast” post.

You will own LLM features, retrieval, agents, and evaluation end to end: problem framing, offline evaluation, safe rollout, and iteration from production signals. Success is measured with clear metrics (quality, latency, cost, or business KPIs)—not slide decks alone.

LinkedIn hires hundreds of AI and ML engineers yearly. Senior Talent Partner designs structured loops, scorecards, and sourcing for LLM, ranking, and trust teams.

Hybrid Sunnyvale: partner with hiring managers on role design and bar calibration.

What you will do

Full-cycle recruiting for AI/ML IC and leadership roles.
Build pipelines with diversity goals and measurable funnel metrics.
Coach interviewers on technical depth beyond buzzwords.

Stack & environment

LinkedIn Recruiter, Greenhouse, structured scorecards.
Hybrid Silicon Valley.

What we look for

5+ years technical recruiting in AI/ML or platform.
Data-driven hiring stories.

Skills we're hiring for

What each capability means for this role—not a keyword checklist.

NLP
Text pipelines: tokenization, fine-tuning, evaluation, and guardrails for user-facing language features.
Machine Learning
Practical Machine Learning experience applied to LLM features, retrieval, agents, and evaluation in production or rigorous pilots.
Recruiting
Practical Recruiting experience applied to LLM features, retrieval, agents, and evaluation in production or rigorous pilots.

You're a strong fit if…

Tailored to this listing—use it as a self-check before you apply.

You can show evidence in your application: Full-cycle AI/ML hiring with structured loops and diversity outcomes.
Several of these show up in recent shipped work—not only on your CV: NLP, Machine Learning, and Recruiting.
You have owned LLM features, retrieval, agents, and evaluation in production: debugging live issues, running postmortems, and iterating from real user or business signals.
You are comfortable with the hybrid rhythm (Hybrid · Sunnyvale, United States)—onsite collaboration when it matters, deep work when remote.
You explain trade-offs (quality, cost, latency, safety) in plain language—with numbers or examples, not buzzwords.
You read the full listing (comp: USD 130k–165k/year + bonus, benefits in At a glance) and your expectations align.

Apply

Candidate accounts only: add your headline and bio on My account, and optionally a CV link or PDF so recruiters see your full résumé. Then write a short pitch below—applications use your login email.

What the employer asked for

Full-cycle AI/ML hiring with structured loops and diversity outcomes.

Sign in with a candidate account to apply

Register, add a headline and bio, then you can attach a CV link or PDF on My account before you apply. That keeps applications tied to your profile and makes it easier for employers to review your background.

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Senior Talent Partner — AI & ML hiring

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