Faire
Principal Applied AI / ML Engineer
San Francisco, California, USA · Principal · full-time
Sponsorship not specified$308k-$424kDetected 43 days ago
Machine LearningTensorFlowPyTorchData EngineeringLLMsRAGStatisticsA/B TestingProduct StrategyResearchLeadershipCommunicationMentoring
About the role
- We are seeking a Principal AI / ML Engineer to be a company-level technical thought leader and practitioner to help shape the future of Data and AI at Faire.
- This role reports directly to the CTO of Faire.
- Offer thought leadership to shape company-wide priorities, with particular focus on product strategy and key investment directions.
Responsibilities
- Serve as a trusted partner to executives and senior leaders, informing long-term strategy and product direction for AI-enabled experiences.
- Partner with infrastructure and platform teams to evolve Faire's data pipelines, ML serving stack, and developer tools for AI-driven velocity.
- Mentor engineers and scientists across the org, raising the technical bar through coaching, tooling, knowledge sharing, and design reviews.
- 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.
- Why you'll love working at Faire Move fast: You'll own meaningful problems that serve customers around the globe with the agency to move fast and see your results clearly.
- Prototype and unblock - Build and lead deployment of AI systems (LLM fine-tuning, RLHF, agent frameworks, etc.) that demonstrate what's possible and accelerate adoption across teams.
Requirements
- Proven track record of delivering production-grade AI systems at scale and influencing product strategy.
- 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.
- experience with large-scale data pipelines, ML feature stores, distributed training, and model serving infrastructure.
Skills
- About Faire Faire is a technology wholesale platform built on the belief that the future is local.
- fine-tuning, RLHF, RAG, embeddings, and agent frameworks.
Compensation
- San Francisco: the pay range for this role is $308,000 to $423,500 per year.
- 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.
- Additionally, hybrid in-office roles will have the flexibility to work remotely up to 4 weeks per year.
- the pay range for this role is $308,000 to $423,500 per year.
Benefits
- Shape the AI vision - Partner with product, design, strategy & analytics, machine learning, and the broader engineering leadership to define how AI can deliver transformational value to Faire's retailers and brands.
- This role will also be eligible for equity and benefits.
Company info
- You'll own meaningful problems that serve customers around the globe with the agency to move fast and see your results clearly.
This listing is sourced directly from Faire's careers page and normalized into a canonical job model.