Senior Principal Machine Learning Engineer

What you'll do

• Set technical strategy for ML models, training pipelines, and inference systems on SambaNova hardware.
• Lead co-design with compiler, systems, and hardware teams; evaluate and adapt advanced ML techniques.
• Guide technical decisions, mentor engineers, and help deliver customer-facing solutions in SambaStack and SambaCloud.

What they ask for

• B.S. in Computer Science, Electrical Engineering, or related field.
• 8+ years of industry experience in machine learning engineering, with technical leadership on large-scale or novel ML systems.
• Deep expertise in LLM training, fine-tuning, inference optimization, and evaluation at scale.
• Ability to lead cross-functional technical efforts, mentor senior engineers, influence organizational direction, and deliver complex projects independently.

Nice to have

• M.S. or Ph.D. in Computer Science, Electrical Engineering, or related field.
• Experience with non-GPU accelerators, LLM publications or open-source contributions, advanced LLM techniques in production, reinforcement learning post-training, or compiler/kernel-level optimization.

Pay

$220,000 — $300,000 USD base salary

Tools

RDU, SambaStack, SambaCloud, speculative decoding, reinforcement learning, mixture-of-experts

AI focus

Develop and optimize LLM architectures, training, fine-tuning, inference, evaluation, and data curation for specialized accelerators; adapt advanced techniques and integrate models into production products.