Senior ML & Data Science Engineer — Remote (Full-Time) | west coast Candidates Preferred

Note: Candidates should be available for occasional business travel as needed.

Required Skills

Candidates should have 15+ years of professional experience in AI/ML engineering, data science, and enterprise technology solutions.

• Hands-on experience with Large Language Models (LLMs)
• Deep understanding of Transformer architectures
• Experience with:

Retrieval-Augmented Generation (RAG) & Data Engineering

• Proven experience building and scaling RAG pipelines

Strong understanding of:

• REST APIs
• GraphQL APIs

Cloud infrastructure experience:

• AWS
• Hands-on experience with:
• Salesforce Data Cloud

PREFERRED QUALIFICATIONS

Advanced Degree: M.S. or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related quantitative field.

• Prior FDE Experience: Previous experience as a Forward Deployed Engineer, Solutions Architect, or Principal ML Engineer in high-growth enterprise SaaS or AI-first companies (e.g., Palantir, Databricks, OpenAI enterprise practices).
• Certifications: Salesforce Certified AI Specialist, Data Cloud Consultant, or equivalent cloud architecture certifications.