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Senior AI/ML Engineer
Job in
San Francisco, San Francisco County, California, 94199, USA
Listed on 2026-01-12
Listing for:
Stack AI, Inc.
Full Time
position Listed on 2026-01-12
Job specializations:
-
Software Development
AI Engineer, Machine Learning/ ML Engineer
Job Description & How to Apply Below
About Stack AI
Democratize access to Large Language Models, so that anyone can build AI-powered applications that generate positive impact to the world.
Founded by 2 MIT PhDs, backed by major investors such as Y Combinator and Google, we are now a 6-engineer team.
Default to action, radical transparency, boldness, and strong opinions loosely-held.
Responsibilities:
We need 10X engineers to make this happen! True wizards that can deliver on a daily basis in the high-paced environment.
In this role, you will...
- Enhance our retrieval-augmented generation (RAG) capabilities, ensuring our models effectively integrate and utilize diverse data sources.
- Work on embedding generation techniques, optimizing them for accuracy and efficiency.
- Keep abreast of the latest developments in AI models, their evolving capabilities, and the complexities of integration. Position yourself as the go-to expert within the team, guiding our end users in crafting their use cases with the most suitable models.
- Collaborate with backend and frontend teams to integrate AI models into products and services.
- We're all about our users - listen to their needs, help them, build strong relationships! Expect to dive into customer support now and then as everyone else in the team.
Required Skills and Qualifications:
You will be a great fit if you have...
- Bachelor's or Master's degree in Computer Science, Machine Learning, AI, or related fields.
- Proven experience in machine learning and AI, with a focus on generative models.
- Knowledge of retrieval-augmented generation pipelines and their implementation.
- Strong proficiency in Python and popular machine learning frameworks like Tensor Flow or PyTorch.
- Experience with embedding techniques and understanding of their applications in AI models.
- Excellent problem-solving skills and the ability to work in fast-paced environments.
- Strong communication and collaboration skills.
Preferred Qualifications:
You will be an exceptional fit if you also have...
- PhD in a relevant field.
- Published research or projects in the field of generative AI, embeddings, or retrieval-augmented generation.
- Experience with large-scale ML deployments in a production environment.
- Contribution to open-source AI/ML projects.
- In-depth knowledge of generative AI hardware, including an understanding of GPU architectures, requirements, and optimization techniques for AI model deployment.
Beyond these skills, what we value the most is your ability to remain curious and open to learning new skills. As a early-stage startup joiner, you may need to wear many hats.
#J-18808-LjbffrPosition Requirements
10+ Years
work experience
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