About the job
We are seeking a Machine Learning Compiler Engineer with deep expertise in compiler technologies to join our team. The ideal candidate will bring broad experience across the machine learning landscape—including reinforcement learning, genetic/evolutionary algorithms, predictive modeling, complex systems, and the analysis/manipulation of high-dimensional data—while also having strong foundations in compiler design and domain-specific languages.
Responsibilities
Become part of the team committed to progressing novel and inventive solutions in compilers and development tools, focusing on applied machine learning and artificial intelligence.
Join committed team members in leading tech sectors. Innovate in machine learning, system design, and more. Influence global products.
Qualifications
Minimum
BS/MS/PhD in Computer Science or related field (or equivalent experience) with focus on machine learning and compiler development tools
8+ years of software engineering and ML experience (tools development preferred)
Strong knowledge of compilers, code generation, and GPU architecture
Demonstrated technical proficiency and hands-on experience in Python, C/C++, Julia, and Lisp/Scheme
Solid mathematical and scientific foundation relevant to ML and compiler technologies
Preferred
Familiarity with reinforcement learning, genetic/evolutionary algorithms, predictive modeling, and complex systems
Expertise in developing and deploying AI/ML solutions to production environments and embedded systems
Hands-on experience building compilers or compiler components using the LLVM framework, including optimization passes, code generation, or frontend integration