# AI/ML Scientist at Spangle

- Company: Spangle
- What the company does: About SpangleAI Launched in 2025, Spangle AI is the agentic conversion layer connecting AI-led discovery to real-time conversion. Backed by Madrona.
- Company website: https://www.spangle.ai/
- Type: Startups (AI role)
- Level: Mid level
- Location: Austin, TX
- Work setup: On-site
- Posted: 2026-02-20
- Apply by: 2026-10-08
- Apply: https://ats.rippling.com/spangleai/jobs/75d45663-7438-41b3-9f42-ddaa8666a45b
- Page: https://www.1752.vc/careers/jobs/spangle-ai-ml-scientist/

## About the role

We are seeking a ML Scientist that will be responsible for building GAI/LLM models end-to-end, from developing the data pipeline to model deployment, to solving real-world problems in the e-commerce sector. You will also collaborate with cross-functional teams to deliver solutions that delight our customers and shoppers. This role is preferably based in Seattle, the Bay Area, or Austin . Join our founding team to drive product innovation and contribute directly to the growth of our dynamic startup.

## What they're looking for

- Implementation: Train, deploy, and optimize GAI and LLM algorithms and models to improve product recommendations, search relevance, personalization, and customer interaction
- Data Engineering: Design, build, and manage ETL processes to gather data from various sources, transform it into a usable format, and load it into a data warehouse or data lake
- Delivery: Collaborate with product, engineering, and data teams to identify opportunities for applying generative AI and LLMs to solve complex problems and enhance customer experiences
- Evaluation: Design and conduct experiments to evaluate the performance and effectiveness of generative and language models in an e-commerce context
- Ph.D. or Master’s degree in AI, Machine Learning, Data Science, Computer Science, Electrical Engineering, Statistics, or a related field with a focus on artificial intelligence
- 2-5 years of experience, proven experience in developing and deploying AI applications end to end in real-world applications, preferably in e-commerce or a related field

Tags: Engineering