Principal Applied ML / AI Engineer

10+ years of experience training and deploying machine learning models at scale, conducting applied AI research, and productizing advanced AI/ML technologies for impact.

Proven track record of delivering production-grade AI systems at scale and influencing product strategy. Great at operating at the intersection of tech and product.

Deep expertise in LLMs and modern AI techniques: fine-tuning, RLHF, RAG, embeddings, and agent frameworks.

Strong systems background: experience with large-scale data pipelines, ML feature stores, distributed training, and model serving infrastructure.

Proficiency with PyTorch, TensorFlow, JAX, Triton, or other relevant AI development and production frameworks.

Exceptional communication and influence skills — able to collaborate with executives and inspire technical and non-technical audiences alike.

San Francisco: the pay range for this role is $308,000 to $423,500 per year.

This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future.

Hybrid Faire employees currently go into the office 3 days per week on Tuesdays, Thursdays, and a third flex day of their choosing (Monday, Wednesday, or Friday).

Additionally, hybrid in-office roles will have the flexibility to work remotely up to 4 weeks per year. Specific Workplace and Information Technology positions may require onsite attendance 5 days per week as will be indicated in the job posting.

Why you’ll love working at Faire

We are entrepreneurs:

We are seeking a

Principal ML / AI Engineer

to be a

company-level technical thought leader and practitioner

to help shape the future of Data and AI at Faire. This is a rare opportunity to drive broad technical strategy across data, engineering, and product while remaining deeply hands-on with cutting-edge AI research and applications. This role reports directly to the CTO of Faire.

You will: