Ai Engineer, Lmts

Salesforce

San Francisco, United States
Base: $172,500 - $260,100 annually; base: $207,800...
Deep learning and graphs
Large-scale models across distributed systems
Production-grade ml pipelines
Join an agile team with deep startup roots, operating as a high-velocity 'startup-within-Salesforce' following a recent acquisition

Job Summary

  • Join an agile team with deep startup roots, operating as a high-velocity 'startup-within-Salesforce' following a recent acquisition.
  • You will have the unique opportunity to build a '0 to 1' product with the founding team, while leveraging Salesforce's world-class Data Cloud and security infrastructure.
  • As a Lead Applied Scientist, you will be instrumental in the development of a novel foundational model for complex tabular datasets in global supply chain and manufacturing.

Matching Summary

Join an agile team with deep startup roots, operating as a high-velocity 'startup-within-Salesforce' following a recent acquisition.

Salary

Base: $172,500 - $260,100 annually; Base: $207,800 - $285,800 annually in select cities; Bonus/Equity: company bonus, incentive for sales roles, equity; Benefits: medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), employee stock purchasing program

Skills & Requirements

Must-have

  • deep learning and graphs
  • large-scale models across distributed systems
  • production-grade ML pipelines
  • Python and PyTorch
  • state-of-the-art machine learning technologies

Nice-to-have

  • startup-within-Salesforce culture
  • innovation and passion for AI
  • collaboration with cross-functional teams
  • domain-specific benchmarks

Key Requirements

  • Masters/PhD in Computer Science or quantitative field
  • 5-7+ years of industry or post-Masters/PhD experience
  • Experience with at least one other form of machine learning
  • End-to-End MLOps Proficiency

Work Rights

Not specified

Tailored Resume

Cover Letter