Dealroom and company announcement report a $43.5M Series A; Crunchbase lists NEA as lead and multiple investors participating.
Investor Signal
“Includes NEA, NVentures (NVIDIA's VC arm), Databricks Ventures, and individual backer Eric Schmidt”
Founders
What we do
Join the Team
Backend Engineer
On-SiteSan Francisco Bay Area, US
On-Site • San Francisco Bay Area, US
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Who you are
Bachelors in Computer Science, Engineering or related qualification
5+ years experience in tech industry
Proactive and eager to take ownership
Fast iteration based on user engagement
Experience in backend or distributed systems
Experience in data/indexing/search systems at scale
Expertise in best practices of building for scale, performance, and engineering best practices
Excited about growing as a mentor to the engineering team
What the job involves
Benefits
Health: Comprehensive health insurance, including medical, dental, vision and short-term disability
Wealth: Support for your long-term financial wellbeing, with 401k (US) and enhanced pension (UK)
Rest: The ability to rest and recharge as needed, with unlimited PTO
Flexibility: A hybrid work environment (typically, team members spend a minimum of two days in the officer per week)
Travel: Travel to other locations is encourage to foster team cohesion and maintain Samaya's unique culture
Equipment: Equipment allowance to create your ideal work setup
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As a Backend Engineer at Samaya, you will design and lead the development of critical system components that support and enable our AI product
This year we are set up for rapid growth to tens of thousands expert users who rely on Samaya daily
You will be critical in ensuring our system scales reliably while maintaining a high standard of internal engineering
Instant QA: Our custom-built Question Answer system uses state-of-the-art in-house models and retrieval systems, seamlessly trained to work together to enable instant expert intelligence
You will ensure that we scale this system to work reliably while enabling rapid improvements with good engineering standards
Reducing latency will be critical to delivering a near-instant experience for users and unlocking better quality within a restricted budget
Agents: You will develop expert-level agentic workflows to automate comprehensive knowledge work and enable AI tools that work with experts to gain new insights
In this role, you will enable fast, reliable, AI experiences to thousands of users and be the foundation of how our engineering team and cultures grows!
Develop and own core system components and services, ensuring they are fast, reliable, and scalable
Design how we build, maintain, and streamline document ingestion and provide it at scale to our QA and Agents
Provide engineering best practices across our entire product, backend, and ML stack
Take ambiguous business/product problems and build extensible systems that allow us to build fast and adapt to user needs
