Description
Overview
You'll join a critical and innovative Salesforce Commerce project, advancing online shopping into the realm of agentic commerce. As an ML engineer, you'll work at the intersection of large-scale backend systems and machine learning applications. This role emphasizes integration with the ML ecosystem—leveraging models, embeddings, retrieval pipelines, and inference services—but is not primarily focused on model development. You will design and build systems that make intelligent use of ML functionality and ensure that ML‑enabled features are reliable, performant, and seamlessly integrated with core services.
Strong awareness of ML concepts (such as model lifecycle, training/inference trade-offs, and evaluation principles) is essential, as your work will ensure that the end-to-end agentic shopping platform functions seamlessly and scales effectively. You will frequently collaborate with ML research and ML platform teams to integrate, deploy, and monitor intelligent systems that enhance the shopper experience.
We value a start-up mentality—people who learn fast, innovate quickly, and leverage both Salesforce and industry tools for rapid iteration.
Your Impact
You will help shape this high-impact project from its earliest version to commercial success, driving industry innovation in agentic shopping. By continuously learning and adapting as new design patterns for LLM-enabled products emerge, you'll play a key role in setting the direction for next-generation machine learning-driven shopping experiences.
Responsibilities
Apply solid architectural principles to ensure sound ML implementations and general software engineering excellence.
Demonstrate autonomy in defining project milestones and executing end‑to‑end delivery with minimal oversight.
Mentor and guide junior engineers, fostering technical growth and collaboration.
Work closely with product managers to advise on technically feasible approaches to achieving product objectives and long‑term goals.
Stay intellectually curious and maintain awareness of emerging technologies and innovations relevant to ML systems, commerce, and large‑scale backend design.
Required Skills
Bachelor's degree in a related technical field.
5+ years of professional software development experience.
Deep knowledge of object-oriented programming and extensive experience with Java and Python
Strong understanding of microservices architecture and REST API development
Experience with relational databases (SQL, PL/SQL, schema design).
Understanding of web technologies: JavaScript, CSS, HTML5, XML, TypeScript, JSON.
Hands-on experience with automated testing frameworks.
Strong collaboration skills and a growth mindset.
Preferred Skills
Experience with model training and tuning
Proficiency in at least one web framework (NodeJS, React, Angular, etc.).
Proven track record of being a top performer
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.