Samaya AI offers an AI-powered knowledge network that transforms expert research and analysis for financial professionals. Its platform utilizes customizable AI agents and custom-trained financial…
AI AgentsAnalysisAutomationDecision MakingFinancial ServicesKnowledge NetworkLLMsResearchsamaya.ai
Samaya
Samaya AI offers an AI-powered knowledge network that transforms expert research and analysis for financial professionals. Its platform utilizes customizable AI agents and custom-trained financial…
AI AgentsAnalysisAutomationDecision MakingFinancial ServicesKnowledge NetworkLLMsResearchsamaya.ai
HQMountain View, US
Team Size36
Open Jobs2
Total Funding$44M
Latest Fundraise5 months ago
TL;DR
What they do: AI-powered knowledge network and expert AI agents for financial professionals
Founded: 2022
Founders: Maithra Raghu; Fabio Petroni
Funding: $43.5M Series A (total funding reported $43.5M)
Customers: Deployed at large financial institutions (sell-side, buy-side, investment banking, wealth management)
Company Overview
Problem Domain
Knowledge work and research automation for financial services
Founded
2022
Industry
Data and Analytics
Tech Stack
Google Cloud
Envoy
Cloudflare
Google Cloud CDN
Funding Track Record
Series A
$43,500,000
Investor Signal
“Backed by NEA with participation from corporate and prominent individual investors including NVIDIA/NVentures, Databricks Ventures, Eric Schmidt, Yann LeCun, and others”
Founders
What we do
Join the Team
Applied Scientist
On-SiteSan Francisco Bay Area, US
On-Site • San Francisco Bay Area, US
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Who you are
PhD or Master’s degree in Computer Science, Machine Learning, NLP, or a related field
Strong background in deep learning, large language models, and NLP techniques
A strong track record of first-author publications in top AI/NLP conferences (e.g., NeurIPS, ICML, ACL, EMNLP)
Proficiency in Python and deep learning frameworks such as PyTorch or Transformers, and strong coding skills
2+ years of experience in an industry applied ML research environment
Familiarity with retrieval-augmented generation, reasoning, LLM training and reinforcement learning techniques
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 an Applied Scientist (ML) at Samaya, you will collaborate closely with our product and engineering teams, and use cutting-edge ML research to transform how users interact with Samaya in their daily workflows. You'll drive impact across the entire ML lifecycle: from problem formulation and system analysis to data collection, benchmark development, model training, and production deployment
You’ll also have opportunities to publish your work and deliver impact to the ML community. Your expertise will advance our capabilities in these critical technical domains:
Retrieval, ranking and RAG
LLM post-training and reinforcement learning
AI agents for knowledge workflows
ML benchmarks
Your work has the potential to transform the following key Samaya products and deliver impacts to tens of thousands of professional users:
Instant QA: Our custom-built Question Answer system using state of the art in house models, seamlessly trained to work together to enable instant expert intelligence
Agents: You will enable expert-level agentic workflows to automate comprehensive knowledge work and enable AI tools that work with experts to gain new insights
Formulate an ML problem from product requirements
Analyze existing ML systems for their limitations, and propose and validate novel methodologies to improve upon existing systems
Create and productionize cutting-edge research prototypes for knowledge work at scale
Build novel ML evaluation datasets that serve as crucial criteria for production feature rollouts
OptionallyMentor ML interns and publish your research findings with the community
