Senior Principal Machine Learning Engineer
$220,000–$300,000 year
On-siteSan Jose, California, United States
Job Summary
Define and drive technical strategy for ML model development, training pipelines, and inference systems on SambaNova's RDU and broader hardware ecosystem. Lead hardware-software co-design efforts with compiler, systems, and hardware teams to shape architectural decisions that unlock performance at scale. Identify, evaluate, and champion state-of-the-art ML techniques for adoption on reconfigurable dataflow architectures. Serve as the senior technical voice in design reviews and cross-functional planning to influence product roadmaps. Mentor principal and senior ML engineers through active collaboration and knowledge transfer. Partner with leadership to translate complex ML capabilities into scalable solutions for SambaStack and SambaCloud. Drive resolution of complex, ambiguous technical challenges spanning organizational boundaries.
Required Qualifications
- Bachelor's degree in Computer Science, Electrical Engineering, or related field
- 8+ years of industry experience in machine learning engineering
- demonstrated record of technical leadership on large-scale or novel ML systems
- Deep expertise in LLM training, fine-tuning, inference optimization, and evaluation at scale
- Strong background in ML algorithms, deep learning architectures, and modern training methodologies
- ability to critically evaluate and advance the state of the art
- Demonstrated ability to lead and align cross-functional technical efforts
- mentor senior engineers
- influence organizational direction without direct management authority
- Track record of independently scoping and delivering high-complexity, high-ambiguity technical projects
Desired Qualifications
- advanced degree (MS or PhD)
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