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Head of Engineering
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Head of Engineering
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Head of Data Engineering
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Head of Data Engineering
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Head of Software Engineering
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Head of Security Engineering
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Staff Planner
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Head of Engineering
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Head of Engineering
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Head of Engineering - Palo Alto, United States - Luma AI
Description
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.
Luma is a group of very strong and action-biased engineers and researchers.We are looking for a head of engineering who can help us scale this incredible team to deliver on our ambitious mission.
A mix of deep technical expertise, strong recruiting skills, and experience managing high performing teams.What's expected
Previous experience building and scaling engineering function in high growth tech startup
Deep understanding of infra, performance, and reliability at scale and hands-on problem solving
Experience as an IC in or leading an ML team is a strong plus
Strong recruiting skills and engineering network
Proven track record of successfully managing high performance teams
Startup Mindset
Value velocity and execution.
Communicate clearly.
Focuson building what will matter to users and the product.
Beresourcefulat finding creative ways to overcome challenges.
Benefits
Equity grant to reflect the incredible value you will bring to Luma, with annual refreshes.
Excellent salary and benefits.
Full health, dental, and vision coverage.
Latest and greatest gear.
Stipends towards wellness, house cleaner, and phone/internet.
Unlimited paid time off with 12 days minimum.
Unlimited sick days.
$180,000 - $250,000 a year
The pay range for this position is for Bay Area. Base pay offered may vary depending on job-related knowledge, skills, candidate location, and experience.
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