Ml Systems Performance Engineer Jobs

Their work spans low-level kernel performance debugging and optimization, system-level performance analysis, performance modeling and estimation, and the development

Their work spans low-level kernel performance debugging and optimization, system-level performance analysis, performance modeling and estimation, and the development

such as ICD-10, CPT, E&M, or SNOMED Publications at leading ML or NLP conferences Experience deploying ML systems in HIPAA-compliant

Ability to reason about system bottlenecks, performance tuning, and cost optimizations across compute, networking, and storage.

What we’re looking for 3+ years building ML systems or high-performance backend infrastructure.

To achieve our mission, we architect and create high-performance custom silicon; we develop system-level compute architectures that push the boundaries of performance

This role is a great fit for a software engineer who enjoys building reliable, well-tested Python systems and takes pride in producing ML results

As a Senior Staff Engineer, you will help build the reference architecture used internally by our engineering teams and delivered to customers

training bottlenecks in collaboration with ML engineers.

systems.

As one of the first engineers in the NYC Engineering office, you'll join a small, nimble team building new products from the ground up.

High Performance Computing hardware for ML (GPUs, TPUs), CUDA programming, and advanced ML optimization techniques

You'll likely have: 4+ years of engineering experience, with a focus on applied ML/AI products Proven track record of shipping ML systems in