SMTS, AI Research

Salesforce • Palo Alto, CA

2d

About The Position

About Salesforce
Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place!
Agentforce is the future of AI, and you are the future of Salesforce.
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.

Requirements

• 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 Haves

• 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.

Responsibilities

• 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

Benefits

• time off programs
• medical, dental, vision, mental health support
• paid parental leave
• life and disability insurance
• 401(k)
• employee stock purchasing program

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees