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SMTS, AI Research

Own Company

Own Company

Software Engineering, Data Science
Palo Alto, CA, USA
Posted on Jan 10, 2026

Description

Salesforce AI Research is looking for an exceptional Senior Machine Learning Engineer to help us apply and deliver cutting-edge AI to high-impact use cases. You will work on innovative AI applications and products, bringing ambitious vision to reality with advanced software engineering. In your role as a Senior Machine Learning Engineer in AI Research, you will partner with researchers, applied scientists, engineers, and team members across all Cloud businesses to create AI models and solutions that transform Salesforce. Your Impact:

  • Work closely with a dedicated team of AI researchers, applied scientists, and engineers on a range of business problems and applied research

  • Lead the charge on taking our innovations to the next level in terms of engineering maturity and architecture

  • Refine and develop new AI-powered products, workflows, tools, and automation

  • Build tools to monitor or measure data pipelines, data quality, and models

  • Establish best practices with coding standards, workflows, tools, and product automation

  • Review and maintain existing tool-set and codebase (pipelines, models, algorithms); continue to improve existing tools and build new ones

  • Scale the operations of the team by building automation and libraries

Required Skills:

  • 2+ years of industry experience and a passion for crafting, analyzing, and deploying AI-based solutions

  • Proficient in using Python and common AI/ML frameworks (e.g., TensorFlow, PyTorch, DeepSpeed, vLLM, or similar) and AI tools to implement models and algorithms.

  • Demonstrated experience with actually shipping code, getting AI/ML into production.

  • Experience with AI model training and model serving

  • Experience designing, building and optimizing AI model and data pipelines

  • Strong understanding of AI and Machine Learning, spanning basic AI foundations, project lifecycle, and associated challenges

  • Proficient at writing good quality, well-documented and tested, scalable code

  • Strong communication skills and ability to interface well with other engineers, researchers, and product managers

  • Independent, self-starter attitude

Nice to have:

  • Experience in working in a research environment

  • M.S. in a related technical field such as Computer Science, Machine Learning, Artificial Intelligence, Data Science, Engineering, or similar.

For roles in San Francisco and Los Angeles: Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.