Lamini
Software Engineer, Machine Learning Systems
Lamini, Menlo Park, California, United States, 94029
Lamini enables every enterprise to safely, quickly, and cost-effectively build their own Expert AI. Our customers own their own models, trained on their data. Lamini optimizes for Expert AI workloads with minimal hallucination, enterprise-grade security, and enterprise flexibility, running on any infrastructure. Our team is made up of highly committed engineers, researchers, and tech industry veterans excited by mission and technology. We’re backed by leading VCs as well as computing and technology companies.We are looking for a machine learning systems expert enthusiastic about engaging with all facets of the ML system stack. We’re looking for someone who is eager to traverse the entire ML system stack, iterate fast on building new ML cloud systems, and is hungry to build and own enormous contributions.About the role:
ML System engineers in our team are responsible for one or more of the following:Deployment and management of high-performing compute clusters.Enhancing inference and training performance through optimizations across the system stack, encompassing high-level mechanisms such as queuing and scheduling, medium-level optimizations within inference and training engines, and low-level optimizations targeting GPU kernel efficiency.Qualifications:
Experience building and rapidly prototyping production cloud-based software.Demonstrated fluency with data structures, algorithms, architecture, and agile software best practices in any language.Experience in Python and C++/Rust.Understanding of the latest technologies in LLMs, like LoRa, Mamba, etc.Understanding or willingness to learn about the entire system stack.Desire to work in an inclusive and collaborative environment.An interest in continually learning from others, teaching others, and digging into new challenges.Nice to have:
Desire to create speed of light training and inference systems for next-generation AI.Deep technology expertise in machine learning systems, e.g. TinyML, Triton, CUDA, ROCm, Exo, MLIR, Halide, etc.We believe in hiring passionate individuals who believe in the AI revolution to make software accessible to all. If you’re excited about this role but are not sure if your past experience aligns perfectly, we still encourage you to apply and meet with us.At Lamini AI, we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants without regard to race, color, religion, sex, pregnancy (including childbirth, lactation and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, and any other characteristic protected by applicable law. Lamini AI believes that diversity and inclusion among our employees is critical to our success as a company, and we seek to recruit, develop and retain the most talented people from a diverse candidate pool. Selection for employment is decided on the basis of qualifications, merit, and business need.
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ML System engineers in our team are responsible for one or more of the following:Deployment and management of high-performing compute clusters.Enhancing inference and training performance through optimizations across the system stack, encompassing high-level mechanisms such as queuing and scheduling, medium-level optimizations within inference and training engines, and low-level optimizations targeting GPU kernel efficiency.Qualifications:
Experience building and rapidly prototyping production cloud-based software.Demonstrated fluency with data structures, algorithms, architecture, and agile software best practices in any language.Experience in Python and C++/Rust.Understanding of the latest technologies in LLMs, like LoRa, Mamba, etc.Understanding or willingness to learn about the entire system stack.Desire to work in an inclusive and collaborative environment.An interest in continually learning from others, teaching others, and digging into new challenges.Nice to have:
Desire to create speed of light training and inference systems for next-generation AI.Deep technology expertise in machine learning systems, e.g. TinyML, Triton, CUDA, ROCm, Exo, MLIR, Halide, etc.We believe in hiring passionate individuals who believe in the AI revolution to make software accessible to all. If you’re excited about this role but are not sure if your past experience aligns perfectly, we still encourage you to apply and meet with us.At Lamini AI, we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants without regard to race, color, religion, sex, pregnancy (including childbirth, lactation and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, and any other characteristic protected by applicable law. Lamini AI believes that diversity and inclusion among our employees is critical to our success as a company, and we seek to recruit, develop and retain the most talented people from a diverse candidate pool. Selection for employment is decided on the basis of qualifications, merit, and business need.
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