Luma AI is seeking a Senior Backend Engineer to join their team in building cutting-edge generative AI infrastructure. This role presents an exciting opportunity to work with state-of-the-art machine learning models and large-scale GPU infrastructure, serving millions of users.
The position requires a seasoned engineer with at least 5 years of industry experience, who will be responsible for developing and maintaining Luma's REST APIs and backend systems. You'll be working with thousands of GPUs in production, implementing SOTA machine-learning models, and collaborating closely with the research team to optimize inference pipelines.
Key technical requirements include proficiency in Python, experience with Docker and Kubernetes, and a strong understanding of security and authentication. Your experience in designing and shipping high-traffic REST APIs will be crucial, and while experience with ML model deployment is a plus, it's not mandatory.
The role offers a competitive compensation package, with a base salary ranging from $180,000 to $250,000 per year, complemented by a significant equity package in the form of stock options. The position is based in Palo Alto, California, with a hybrid work arrangement, offering flexibility while maintaining collaborative opportunities with the team.
This is an excellent opportunity for a senior engineer who wants to work at the intersection of infrastructure and machine learning, building systems that operate at unprecedented scale. You'll be part of a team that values technical excellence and innovation, working on challenges that push the boundaries of what's possible in generative AI.
The comprehensive benefits package and equity offering demonstrate Luma AI's commitment to their employees' well-being and long-term success. If you're passionate about building robust backend systems and want to be at the forefront of AI infrastructure development, this role offers the perfect blend of challenge and reward.