Luma AI · 1 day ago
Recruiter, Applied Research
Palo Alto, CA
Full-time
Hybrid
Mid, Senior Level
4+ years expLuma AI is focused on building multimodal AI to enhance human capabilities, with a strong emphasis on vision technology. They are seeking multiple senior recruiters to join their Applied Research team, which is responsible for recruiting roles in Data Infrastructure and Machine Learning Engineering, among others. The role involves defining candidate profiles, sourcing talent from diverse platforms, and evaluating candidates based on their projects and portfolios.
Artificial Intelligence (AI)Foundational AIGenerative AIVideoVideo Editing
Responsibilities
Recruit for Data Infra and ML Engineering roles (for now), with scope expanding as the team grows
Partner with hiring managers to define what 'good' looks like in a field that's evolving fast
Source beyond LinkedIn - GitHub, Twitter, academic labs, niche communities. The best candidates often aren't job hunting
Evaluate candidates by what they've built, not just where they've worked. Portfolios, side projects, and GitHub matter here
Move fast. AR is the velocity engine of Luma. You match that pace
Morning sync with the AR recruiting team on pipeline and priorities
Deep sourcing block - you're in GitHub, Twitter, or a niche ML community looking for candidates who aren't applying anywhere
Intake call with a hiring manager for a new ML Eng role. You're helping them figure out what 'great' looks like, not just taking a req
Candidate screens - you're evaluating what they've built, not just where they've been
Afternoon spent on outreach. You're testing new messaging, maybe using AI to personalize at scale
Quick debrief on an onsite. You're pushing for signal, not just 'thumbs up.'
End of day: update your pipeline, flag blockers, prep for tomorrow
Some days you're heads down sourcing. Some days you're in back-to-back screens. Some days you're working on a new sourcing strategy or tool. It moves fast
Qualification
Required
4+ years recruiting for technical roles - specifically ML, Data Infra, Research Engineering, or similar. Not generic SWE
You know the difference between a Researcher and an Applied Engineer. You can speak to what makes a good ML Engineer vs. a good Data Infra Engineer
You're a builder. You don't wait for permission to try a new sourcing strategy or tool. High agency
You use AI in your workflow - for outreach, research, automation, whatever. It's a co-pilot, not a threat
You've worked at a startup or high-growth company. You're comfortable with ambiguity and shifting priorities
Preferred
You've recruited for gaming, VFX, or creative tools companies
You've hired Research Engineers, Applied Scientists, Technical Artists, or Graphics Engineers
You have a personal interest in generative AI, creative technology, or the tools we're building
You come from a top AI lab or frontier company (OpenAI, Anthropic, DeepMind, NVIDIA, etc.)
Company
Luma AI
Luma AI develops tools that let users generate photorealistic images and videos from text, image, or video prompts.
51-200 employees
Funding
Current Stage
Growth StageTotal Funding
$1.06BKey Investors
HUMAINAndreessen HorowitzAmplify Partners
2025-11-19Series C· $900M
2024-12-06Series B· $90M
2024-01-09Series B· $43M
Leadership Team
Amit Jain
Co-Founder
Recent News
2026-01-09
2026-01-06
Company data provided by crunchbase