Presentation
Senior Backend Engineer
SessionJob Postings
DescriptionDescription
You will work on building generative AI inference infra at an unprecedented scale. You’ll be responsible for Luma’s REST APIs, and backend systems. You will build infrastructure with thousands of GPUs in production serving SOTA machine-learning models to millions of Luma users. You'll work closely with the research team to rapidly prototype, build, and optimize inference pipelines, and compute.
Startup Mindset
Value velocity and execution.
Communicate clearly.
Focus on building what will matter to users and the product.
Be resourceful at finding creative ways to overcome challenges.
Requirements
Requirement of 5+ years of experience as an industry software engineer, we will not consider new grads for this role.
Proficiency in Python.
Experience deploying with Docker and Kubernetes.
Good understanding of security and authentication.
Experience designing and shipping state-of-the-art and high-traffic REST APIs.
Experience deploying ML models is a strong plus but not required.
Please note this role is not meant for recent grads.
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.
Why Join Luma?
You will get to work with the world's best AI researchers, shipping their research to millions of users around the world
You will be equipped with all the tools, technologies, resources, and AI tools you need to get the job done
We build. We ship. Your work will matter to people.
We are building a very widely usable product, and you’ll get to work on an equally wide variety of challenging problems.
We have fantastic traction from early customers, whom you’ll get to work directly with.
We have the backing of some of the best VCs in Silicon Valley, and Angels from across the industry.
You will work on building generative AI inference infra at an unprecedented scale. You’ll be responsible for Luma’s REST APIs, and backend systems. You will build infrastructure with thousands of GPUs in production serving SOTA machine-learning models to millions of Luma users. You'll work closely with the research team to rapidly prototype, build, and optimize inference pipelines, and compute.
Startup Mindset
Value velocity and execution.
Communicate clearly.
Focus on building what will matter to users and the product.
Be resourceful at finding creative ways to overcome challenges.
Requirements
Requirement of 5+ years of experience as an industry software engineer, we will not consider new grads for this role.
Proficiency in Python.
Experience deploying with Docker and Kubernetes.
Good understanding of security and authentication.
Experience designing and shipping state-of-the-art and high-traffic REST APIs.
Experience deploying ML models is a strong plus but not required.
Please note this role is not meant for recent grads.
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.
Why Join Luma?
You will get to work with the world's best AI researchers, shipping their research to millions of users around the world
You will be equipped with all the tools, technologies, resources, and AI tools you need to get the job done
We build. We ship. Your work will matter to people.
We are building a very widely usable product, and you’ll get to work on an equally wide variety of challenging problems.
We have fantastic traction from early customers, whom you’ll get to work directly with.
We have the backing of some of the best VCs in Silicon Valley, and Angels from across the industry.
Event Type
Job Posting
TimeSaturday, 27 July 20248:28am - 8:30am MDT
Location
Session TimeSaturday, 27 July 20248:00am - 9:00am MDT
Location
