Member of Technical Staff - Low Level & Kernels Capabilities
Seattle, Washington, United States of America
Full Time
3 hours ago
$200,000 - $350,000 USD
H1B Sponsored
Key skills
Machine LearningML
About this role
Preference Model is building automated ML research engineering. They are seeking experienced Machine Learning Engineers for their Low Level / Kernels Capabilities team to design and build reinforcement learning environments that target specific models and difficulty distributions.
Responsibilities:
- Design and build low level / kernel-focused reinforcement learning (RL) environments that target a specified model and difficulty distribution
- Choose which environments are worth building. A strong kernel environment hits several marks:
- Targets a niche or genuinely hard domain
- Exercises real hardware features (tiling, streaming, async copy, vector ISAs);f
- Interesting hardware or simulators (FPGAs, novel accelerators, gem5)
- Research-motivated, grounded in benchmarks where models lag
- Has a recognized reference to measure against (cuBLAS/FFTW/OpenSSL/etc.)
- Scales into many diverse tasks from a single design
- Build correctness and performance scoring that's deterministic and can't be gamed: the objective is clear, and the only way to hit it is to actually write the kernel