Job description
About Workato
Workato transforms technology complexity into business opportunity. As the leader in enterprise orchestration, Workato helps businesses globally streamline operations by connecting data, processes, applications, and experiences. Its AI-powered platform enables teams to navigate complex workflows in real-time, driving efficiency and agility.
Trusted by a community of 400,000 global customers, Workato empowers organizations of every size to unlock new value and lead in today’s fast-changing world. Learn how Workato helps businesses of all sizes achieve more at workato.com.
Why join us?
Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company.
But, we also believe in balancing productivity with self-care. That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives.
If this sounds right up your alley, please submit an application. We look forward to getting to know you!
Also, feel free to check out why:
Business Insider named us an “enterprise startup to bet your career on”
Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world
Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America
Quartz ranked us the #1 best company for remote workers
Responsibilities
We are seeking a motivated Data Science Intern to join our team and work at the forefront of Large Language Model (LLM) technology. This role offers hands-on experience with cutting-edge AI technologies while contributing to real business solutions through rapid experimentation and analysis.
In this role, you will also be responsible to:
Design and implement proof-of-concept (POC) projects using state-of-the-art LLMs (GPT-4, Claude, Gemini, open-source models)
Conduct rapid experiments to evaluate LLM capabilities for various business use cases
Perform initial data analysis and feasibility assessments for business-related tasks
Create documentation and presentations to communicate findings to technical and non-technical stakeholders
Collaborate with the data science team to identify opportunities for LLM integration
Requirements
Qualifications / Experience / Technical Skills
Strong programming skills in Python
Basic understanding of machine learning concepts and natural language processing
Experience with Jupyter notebooks and version control (Git)
Excellent analytical and problem-solving skills
Preferred Qualifications
Hands-on experience with LLM APIs (OpenAI, Anthropic, Hugging Face)
Familiarity with prompt engineering and LLM fine-tuning concepts
Knowledge of deep learning frameworks (PyTorch)
Experience with cloud platforms (AWS, Azure)
Previous projects or coursework involving transformers or language models
Active participation in ML/AI communities (Kaggle, research papers, blogs)
