Low-Level ML Engineer: Kernels & RL Environments

Preference Model; San Francisco (CA); On-site; USD 120,000 - 170,000; Full time

Benefits offered by this job

Health, vision, dental benefits

401K match

Lunch provided everyday onsite

Weekly snack orders

Visa sponsorship & relocation support available

Job summary

Preference Model seeks experienced Machine Learning Engineers for its Low Level / Kernels Capabilities team. This role focuses on crafting reinforcement learning environments requiring strong low-level programming skills in C/C++/CUDA. Candidates will have ownership of environments, designing, building, and optimizing them end-to-end.

We offer competitive compensation, autonomy, and opportunities to work with top ML engineers in a dynamic startup environment.

Qualifications

• Strong low-level/systems engineering experience.
• Fluent in C/C++/CUDA and comfortable using assembly.
• Proven experience in writing and optimizing kernels.

Responsibilities

• Design and build low-level/kernel-focused RL environments.
• Develop robust scoring for correctness and performance.
• Own environments end-to-end from design to implementation.

Skills

C / C++ / CUDA

Python

Kernel development

Hardware-aware coding

Linguistic models

Job description

Preference Model seeks experienced Machine Learning Engineers for its Low Level / Kernels Capabilities team. This role focuses on crafting reinforcement learning environments requiring strong low-level programming skills in C/C++/CUDA. Candidates will have ownership of environments, designing, building, and optimizing them end-to-end.

We offer competitive compensation, autonomy, and opportunities to work with top ML engineers in a dynamic startup environment.