Data Scientist, Globality
Generative AI
$140-200k
3+ days a week in office (Palo Alto, CA)
Smart sourcing platform
Job no longer available
Smart sourcing platform
101-200 employees
Job no longer available
$140-200k
3+ days a week in office (Palo Alto, CA)
101-200 employees
Company mission
To promote economic inclusion.
Role
Who you are
- The ideal candidate will explore and implement solutions to track, monitor, and continuously improve our AI ecosystem
- We are looking for someone who is highly analytical, detail-oriented, and possesses exceptional problem-solving skills
- 3+ years of relevant professional work experience in data science or a similar role
- M.S. or Ph.D. in AI/ML, Computer Science, Statistics, or a related STEM field
- Strong proficiency in AI/ML techniques including classification, clustering, optimization, deep learning, and generative AI
- Experience integrating LLMs into applications and optimizing their outputs
- Familiarity with AI/ML frameworks (e.g., TensorFlow, PyTorch, Hugging Face, LangChain, etc.)
- Proficiency in Python and SQL
- Ability to iterate on AI features for performance improvements and user experience enhancements
- Understanding of retrieval-augmented generation (RAG) and prompt engineering
- Strong problem-solving skills and ability to work collaboratively in a fast-paced environment
- Exceptional communication and collaboration skills, with experience working with stakeholders across product, design, and engineering
What the job involves
- We are seeking a skilled Data Scientist to develop features using pre-trained Generative AI models at Globality
- This role focuses on leveraging existing Large Language Models (LLMs) and applying techniques such as retrieval-augmented generation (RAG) and prompt engineering to optimize AI performance and integrate models effectively into our enterprise applications
- You will collaborate closely with marketing, product management, and engineering teams to identify opportunities for AI-driven innovation, enhance feature adoption, and generate value for Globality
- Implement and optimize features using pre-trained Generative AI models
- Develop solutions leveraging techniques like retrieval-augmented generation (RAG) and prompt engineering
- Integrate LLMs into applications and enhance model outputs for better performance and usability
- Work with AI/ML frameworks and tools to deploy and scale AI-powered solutions
- Collaborate with cross-functional teams to translate business needs into AI-driven applications
- Stay updated on advancements in Generative AI and recommend best practices and tools
Our take
Transforming the way global companies connect with suppliers is AI-powered smart sourcing company Globality. The platform’s effective consolidation capabilities and simplified management system for complex sourcing processes and data enable companies to improve their bottom line by maximizing efficiency.
Globality’s scalable precision sourcing platform has created a space where companies of all sizes can connect the best suppliers across every service category faster, and more affordably, than before. The company’s unique suite of services automates and analyzes every step of the procurement lifecycle.
Recently, the company raised an impressive $47M to help accelerate growth. With this backing, Globality is well set to see continued growth as its digital solution empowers companies around the globe to navigate an ever-changing procurement ecosystem.
Steph
Company Specialist at Welcome to the Jungle
Insights
-49% employee growth in 12 months
Company
Funding (last 2 of 7 rounds)
Oct 2024
$47m
LATE VC
Jan 2021
$138.3m
SERIES E
Total funding: $367.3m
Company benefits
- Premium Health Benefits
- Distributed Team Building
- Learning & Development
- Award Winning Culture
Company HQ
Evergreen Park, Palo Alto, CA
Leadership
Joel Hyatt
(Co-Founder, CEO & Chairman)Studied at Yale Law School and Dartmouth, before founding Hyatt Legal Plans in 1990. Lectured in Entrepreneurship at Stanford from 1998 to 2003, and became a member of the board at HP in 2007. Co-founded Current TV in 2004, acting as its CEO until 2013. Is a trustee at RAND Corporation.
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