Software Engineer, Systems
Braintrust - San Francisco, United States, Seattle, New York City
Posted Mar 29, 2024
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
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Salary
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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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- Assessment
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- Deadline
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Where they hire
State eligibility is not yet verified.
About this role
Software Engineer, Systems San Francisco, United States, Seattle, New York City About the company Braintrust is the AI observability platform. By connecting evals and observability in one workflow, Braintrust gives builders the visibility to understand how AI behaves in production and the tools to improve it. Teams at Notion, Stripe, Zapier, Vercel, and Ramp use Braintrust to compare models, test prompts, and catch regressions - turning production data into better AI with every release. About the role We're looking for a software engineer who loves to build high performance data processing systems. Our customers are scaled up companies who send complex, semi-structured data which they need to process and analyze in real-time. Our unique architecture allows them to store this data on-prem, while creating complex visualizations that load instantly. Check out our Brainstore blog post . If you've worked on database systems, compilers, networks, or storage systems, and want to translate this knowledge to the AI field, this could be the role for you. You will play a significant role in the foundational system architecture, technology choices, and implementation. Our founding team has deep expertise in database and ML systems, and you'll be empowered to both collaborate closely with them and explore your own ideas. What you'll do As a systems engineer at Braintrust, you'll help build the core systems powering Braintrust's ability to process and query massive volumes of unstructured data at enterprise scale. Areas of ownership include: - Contribute to the storage, indexing, and query execution performance of
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