NewGitHired MCP is live. Check it out
How It Works

Three steps to 100x hiring

STEP 01

Describe your ideal profile

Paste your job description or simply type what you're building/looking for

githired.tech
ML engineer with experience working on code gen models, agent orchestration, LLMs post-training; located in sf bay area
Analyzed GitHub activityAnalyzed Code qualityAnalyzed Tech stackAnalyzed Open source
STEP 02

Get cracked engineers who match

Each dev is evaluated based on actual code complexity, project depth and relevant experience, including private repos.

githired.tech
247 engineers matched· ranked by proof of work
MZ
Marcelo Zaffalon95% Match
marcelozaffalon·San Francisco, CA
Code gen modelsAgent orchestrationPost-training
90
GitScore
MR
Marcus Rivera91% Match
mrivera·San Jose, CA
Code gen modelsPost-training
87
GitScore
AP
Aisha Patel88% Match
aishap·San Francisco, CA
Agent orchestrationLLMs inference
84
GitScore
STEP 03

Hyper-Personalized Outreach

Send automated personalized emails with the click of a button

githired.tech
New AI-Drafted Message
To:marcelo.z@example.com
Sub:Senior ML Engineer Role & your OSS contributions
Hi Marcelo, Been going down a rabbit hole on your vLLM paged-attention PRs and the scheduler in your agent orchestration repo—the way you handled KV cache fragmentation across variable-length sequences is genuinely clever, and the tool-routing pattern in that 4k-star repo is unlike anything I've seen. Would love to hear the backstory on those design choices—down for a quick chat this week?