ML Systems Optimization Expert
6 days ago
MatX is committed to pushing the boundaries of AI by developing innovative solutions that harness the power of silicon and systems. We're seeking a talented individual to drive our ML performance engineering efforts.
Job SummaryWe're looking for a highly skilled professional to design and develop performance-optimized ML solutions. The ideal candidate will have expertise in popular ML frameworks, distributed computing, and high-performance networking.
Responsibilities- Design and implement performance models and tooling to inform scheduling decisions for current and future ML models.
- Develop production-grade libraries for distributed training and serving, optimized for efficiency.
- Collaborate with cross-functional teams to drive solutions from model development to hardware implementation.
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- Proficiency in Python programming.
- Expertise in popular ML frameworks such as JAX, PyTorch, or TensorFlow.
- In-depth knowledge of the Transformer architecture.
- Experience with distributed computing, high-performance networking, or large-scale ML systems.
- Hands-on experience with techniques like flash attention, quantization, pruning, or other systems performance optimizations.
- Familiarity with parallelism strategies that balance computation, communication, and memory to optimize throughput and latency.
- Knowledge of performance analysis tools and profilers for large-scale systems.
- Solid understanding of computer architecture and low-level optimization techniques.
This role offers a competitive salary range of $160,000 - $480,000 per annum, plus equity and benefits. We also offer opportunities for professional growth and collaboration with a talented team.
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