ML Infra Engineer

About Kerplunk:

Kerplunk is on a mission to place the world's best engineers into the best AI labs around the world.

About the Role:

Do you want to be at the forefront of AI innovation? Are you passionate about building systems that power cutting-edge AI models? As an ML Infra Engineer, you'll be responsible for scaling and optimizing the very infrastructure that drives research. Your work will directly impact breakthroughs in AI capabilities and safety. You'll work closely with researchers, empowering them to push the boundaries of machine learning while ensuring we maximize the efficiency and ROI.

You may be a good fit if you:
• Have 8+ years of software engineering experience
• Enjoy empowering others through the systems and tools you build
• Thrive in a cross-functional environment, collaborating with teams like finance
• Are results-oriented and adaptable, prioritizing impact
• Are a proactive team player, willing to go the extra mile
• Enjoy pair programming
• Have a curiosity about machine learning research
• Care deeply about the societal impact of your work

Strong candidates may also have experience with:
• High-performance, large-scale distributed systems
• Kubernetes
• Python
• Machine learning
• LLM inference

Representative Projects:
• Partnering with the Inference team to execute high-priority efficiency projects
• Building comprehensive telemetry and reporting systems to track resource utilization
• Identifying and leading efficiency initiatives across various workloads
• Optimizing system performance for LLM training and frontier research

Benefits:
• Competitive salary and benefits package
• Opportunity to work on challenging and impactful projects at the forefront of AI
• Collaborative and supportive work environment
• Flexible work arrangements
• Remote work option

To Apply:

You will be required to complete a 15-minute interview screening process that you can do on your own time.

Kerplunk is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.