Machine Learning Engineer working on next - generation agentic AI platform at Salesforce. Collaborate with teams to innovate and design impactful AI systems for customers.
About the role
- Software engineering co-op supporting AI group at health data platform Zus. Conducting research, developing prototypes, and collaborating on CI/CD pipelines for health tech tools.
Responsibilities
- Conduct research to explore new methodologies and techniques, and integrate them into product offerings.
- Develop prototypes to test and improve innovations and feedback mechanisms to improve models.
- Work with software engineers to help deliver CI/CD pipelines and automate workflows for model operations.
- Present learnings and help leverage methods and techniques for the team.
Requirements
- Hands-on experience with LLMs and classical ML methods (must-have)
- Hands-on experience with agentic frameworks and tools such as LangGraph, Strands, LangFuse, MCP, etc.
- Proficiency in Python (must-have)
- Hands-on experience designing offline or online experiments: crafting task-specific metrics, computing bootstrapped confidence intervals, and conducting slice-based error analysis
- Familiarity with cloud services (e.g., AWS, GCP, Azure)
- Demonstrated curiosity—comfortable jumping into unfamiliar domains, papers, or codebases and learning fast
- Strong verbal/written skills—able to explain complex ML concepts to diverse stakeholders
- Demonstrated ability to work effectively in a collaborative team environment
Benefits
- Competitive compensation that reflects the value you bring to the team
- Opportunity to work alongside a passionate team that is determined to help change the world (and have fun doing it).
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FI
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