ML Features Solutions Engineer
SambaNova Systems - Austin, Texas, United States; San Jose, California, United States
Posted Mar 4, 2026
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
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- Mental health support
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- Relocation assistance
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- 401(k) match
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Schedule
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- Weekend work
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Application
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Where they hire
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About this role
ML Features Solutions Engineer Austin, Texas, United States; San Jose, California, United States The era of pervasive AI has arrived. In this era, organizations will use generative AI to unlock hidden value in their data, accelerate processes, reduce costs, drive efficiency and innovation to fundamentally transform their businesses and operations at scale. SambaNova Suite™ is the first full-stack, generative AI platform, from chip to model, optimized for enterprise and government organizations. Powered by the intelligent SN40L chip, the SambaNova Suite is a fully integrated platform, delivered on-premises or in the cloud, combined with state-of-the-art open-source models that can be easily and securely fine-tuned using customer data for greater accuracy. Once adapted with customer data, customers retain model ownership in perpetuity, so they can turn generative AI into one of their most valuable assets. About the Role We are seeking an ML Features Solutions Engineer to join our Product and Solution Engineering team, driving the development and optimization of core ML features for enterprise deployment. This role combines deep ML expertise with hands-on engineering, working at the intersection of ML research and product development to deliver production-grade capabilities to our customers. This role is critical for accelerating ML feature development and bridging the gap between ML research and product engineering and will be driving the following: - Core ML Feature Development: Drive improvements to ML features including model optimization, inference performance, and feature enhancements. - Production-Ready Solutions: Build and deploy production-ready ML solutions for enterprise customers with focus on reliability and
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