Position Details
About this role
Salesforce AI Research seeks a senior ML engineer to incubate and scale an agentic AI platform, collaborating with research scientists, software engineers, and product teams to deliver next-generation AI systems for customers.
Key Responsibilities
- Collaborate with research scientists, software engineers, product managers to design and implement agentic AI systems
- Iterate agentic AI platforms with customers
- Ensure quality and customer impact
- Lead productionizing ML components
- Define roadmap for new agentic capabilities
Technical Overview
Role emphasizes agentic AI, LLMs, RL, pre-/post-training, and production-grade ML within an Agile environment; requires strong Python/C++ and SDLC knowledge.
Ideal Candidate
The ideal candidate is a senior ML engineer with hands-on experience building production-ready agentic AI systems using LLMs, pre-/post-training, and reinforcement learning. They should demonstrate strong software engineering background, Python/C++ proficiency, and the ability to collaborate across research, software engineering, and product teams in a fast-paced environment.
Must-Have Skills
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of hands-on ML experience with LLMs or agentic architectures, Inability to work in a fast-paced environment, No proficiency in Python or C++
Get matched to jobs like this
Luna finds roles that fit your skills and career goals — no endless scrolling required.
Create a Free Profile