Software Engineer, Machine Learning Infrastructure
Menlo Park or New York City
Full Time Senior-level / Expert USD 150K - 350K
Character.AI
Meet AIs that feel alive. Chat with anyone, anywhere, anytime. Experience the power of super-intelligent chat bots that hear you, understand you, and remember you.We’re looking for seasoned ML Infrastructure engineers with experience designing, building and maintaining training and serving infrastructure for ML research.
Responsibilities:
Provide infrastructure support to our ML research and product
Build tooling to diagnose cluster issues and hardware failures
Monitor deployments, manage experiments, and generally support our research
Maximize GPU allocation and utilization for both serving and training
Requirements:
4+ years of experience supporting the infrastructure within an ML environment
Experience in developing tools used to diagnose ML infrastructure problems and failures
Experience with cloud platforms (e.g., Compute Engine, Kubernetes, Cloud Storage)
Experience working with GPUs
Nice to have
Experience with large GPU clusters and high-performance computing/networking
Experience with supporting large language model training
Experience with ML frameworks like Pytorch/TensorFlow/JAX
Experience with GPU kernel development
About Character.AI
Founded in 2021, Character is a leading AI company offering personalized experiences through customizable AI 'Characters.' As one of the most widely used AI platforms worldwide, Character enables users to interact with AI tailored to their unique needs and preferences.
In just two years, we achieved unicorn status and were named Google Play's AI App of the Year – a testament to our groundbreaking technology and vision.
Ready to shape the future of Consumer AI? 🚀
At Character, we value diversity and welcome applicants from all backgrounds. As an equal opportunity employer, we firmly uphold a non-discrimination policy based on race, religion, national origin, gender, sexual orientation, age, veteran status, or disability. Your unique perspectives are vital to our success.
Tags: GPU JAX Kubernetes LLMs Machine Learning ML infrastructure Model training PyTorch Research TensorFlow
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