4 months ago

Principal Applied AI / ML Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 6 hours agoStatus: Live

Job Summary

Lead company-wide AI strategy as a hands-on Principal ML/AI Engineer, shaping Faire's data, engineering, and product stack. Drive AI initiatives from vision to production, prototype large-scale AI systems (LLMs, RLHF, agent frameworks), establish safety and reliability standards, and mentor teams while collaborating with executives to translate AI into retailer and brand value.

Location: San Francisco

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Sr. Director level

Key Responsibilities

•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.
•Prototype and unblock – Build and lead deployment of AI systems (LLM fine-tuning, RLHF, agent frameworks) that accelerate adoption across teams.
•Architect the AI-ready stack – Design Faire’s data pipelines, ML serving stack, and developer tools for AI-driven velocity.
•Serve as a trusted partner to executives – Inform long-term strategy and product direction for AI-enabled experiences.
•Mentor engineers and scientists – Raise the technical bar through coaching, tooling, knowledge sharing, and design reviews.

Pay and Benefits

Salary: USD 308,000 - 423,500 annually

Key Requirements

•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.
•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:10+ yearsRetail techMarketplaceSaaS

Education:Master's

Skills:CommunicationLeadershipProblem-solving

Languages:English

Tech Stack:PyTorchTensorFlowJAXTritonLLMsRLHFRAGEmbeddingsAgent frameworksData pipelinesML feature storesModel serving

Company Brief

Faire

Operates a wholesale marketplace connecting independent retailers with emerging and established brands, providing ordering, logistics, and payment solutions to help small businesses discover and stock unique products.

Industry: Online Marketplaces

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Headquarters: San Francisco, United States

Founded: 2017

Website LinkedIn

Loading job details...

Preparing the role view and application actions.

Faire

4 months ago

Principal Applied AI / ML Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 6 hours agoStatus: Live

Job Summary

Location: San Francisco

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Sr. Director level

Key Responsibilities

•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.
•Prototype and unblock – Build and lead deployment of AI systems (LLM fine-tuning, RLHF, agent frameworks) that accelerate adoption across teams.
•Architect the AI-ready stack – Design Faire’s data pipelines, ML serving stack, and developer tools for AI-driven velocity.
•Serve as a trusted partner to executives – Inform long-term strategy and product direction for AI-enabled experiences.
•Mentor engineers and scientists – Raise the technical bar through coaching, tooling, knowledge sharing, and design reviews.

Pay and Benefits

Salary: USD 308,000 - 423,500 annually

Key Requirements

•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.
•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:10+ yearsRetail techMarketplaceSaaS

Education:Master's

Skills:CommunicationLeadershipProblem-solving

Languages:English

Tech Stack:PyTorchTensorFlowJAXTritonLLMsRLHFRAGEmbeddingsAgent frameworksData pipelinesML feature storesModel serving

Company Brief

Faire

Industry: Online Marketplaces

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Headquarters: San Francisco, United States

Founded: 2017

Website LinkedIn