As a Research Sourcer, you'll build talent pipelines for elite researchers in AI, engage with hiring managers, and enhance sourcing strategies.
About Luma AI
Luma's mission is to build multimodal AI to expand human imagination and capabilities. We believe that multimodality is critical for intelligence. To go beyond language models and build more aware, capable and useful systems, the next step function change will come from vision. So we are working on training and scaling up multimodal foundation models for systems that can see and understand, show and explain, and eventually interact with our world to effect change.
As a Research Sourcer, you are a talent scout for the world’s most brilliant minds. You will support the hyper-growth of our Research team, covering the full spectrum of the talent ecosystem: Experienced Industry Hiring, University/PhD Hiring, and Conference-based Sourcing.
- Strategic Pipeline Building: Identify and engage elite researchers in areas like Diffusion Models, Transformers, Multimodality, and RL.
- Hyper-Growth Execution: Own the top-of-funnel for senior industry experts, PhD interns, and New Grad researchers.
- Conference Strategy: Support the sourcing and mapping for top AI conferences to build long-term relationships with the global research community.
- Collaborative Partnership: Work closely with Hiring Managers to calibrate on specific needs and build up the sourcing strategy along the team
- You have 0.5+ years of experience in technical sourcing or recruiting. We are open to "rising stars" with a high ceiling for growth.
- You have a solid understanding of the Foundational Model landscape (or a willingness to learn it faster than anyone else).
- You use data to track your progress, calibrate with Hiring Managers, and pivot your sourcing strategy based on real-time funnel health.
- You thrive in a "startup-speed" environment where you have to be proactive and build processes as you go.
What Sets You Apart (Bonus Points)
- You have the ability (or a fierce desire) to navigate ArXiv, Google Scholar, and OpenReview.
- You can translate Luma’s research goals into a compelling pitch, engaging experts in deep conversations about the future of Foundation Models.
Luma’s mission is to build unified general intelligence that can generate, understand, and operate in the physical world.
We believe that multimodality is critical for intelligence. To go beyond language models and build more aware, capable and useful systems, the next step function change will come from vision. So, we are working on training and scaling up multimodal foundation models for systems that can see and understand, show and explain, and eventually interact with our world to effect change.
Top Skills
Arxiv
Google Scholar
Openreview
Similar Jobs
Artificial Intelligence • Automotive • Greentech • Information Technology • Machine Learning • Software • Cybersecurity
The role involves strategic guidance for client programs, program implementation, relationship building, and team management to ensure project success.
Top Skills:
Business AnalysisProject ManagementSoftware Adoption
Artificial Intelligence • Automotive • Greentech • Information Technology • Machine Learning • Software • Cybersecurity
The Director of Change Enablement leads initiatives to drive adoption of systems and process changes through strategic learning and stakeholder engagement.
Artificial Intelligence • Automotive • Greentech • Information Technology • Machine Learning • Software • Cybersecurity
The Senior Client Trainer is responsible for dealer onboarding and product training, ensuring effective implementation of Cox Automotive products and maintaining service level agreements.
Top Skills:
AutotraderCustomer Relationship Management SystemsKbbMS Office
What you need to know about the Chicago Tech Scene
With vibrant neighborhoods, great food and more affordable housing than either coast, Chicago might be the most liveable major tech hub. It is the birthplace of modern commodities and futures trading, a national hub for logistics and commerce, and home to the American Medical Association and the American Bar Association. This diverse blend of industry influences has helped Chicago emerge as a major player in verticals like fintech, biotechnology, legal tech, e-commerce and logistics technology. It’s also a major hiring center for tech companies on both coasts.
Key Facts About Chicago Tech
- Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
- Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
- Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
- Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory
