Junior NLP AI Engineer — Growth & Learning

Energy Innovation Corp; Rancho Cucamonga (CA); Hybrid; USD 69,000 - 103,000; Full time

Job summary

Salesforce is seeking a junior AI Engineer in Rancho Cucamonga, CA to join a fast-moving team delivering reliable NLP-powered solutions. You will own hands-on components, receive mentorship, and contribute to machine learning workflows with TensorFlow, Airflow, and Jupyter.

The role emphasizes collaboration with remote teams, rapid problem solving for customers, and ongoing growth through certifications and learning time in a supportive environment.

Qualifications

• Proven track record delivering results as a junior AI Engineer.
• Experience with feature engineering or related ML pipelines.
• Comfort working in a remote-native hybrid team environment.

Responsibilities

• Collaborate with users in Rancho Cucamonga to learn TensorFlow needs.
• Design, build, and maintain backend services using Airflow and Jupyter.
• Map data flow across Salesforce's Data Mining services and identify leaks.
• Ship problem-solving fixes to Salesforce customers in Rancho Cucamonga, CA the same day they report them.
• Catch and prevent Data Visualization regressions in staging before release to customers.
• Untangle Time Series Analysis dependencies slowing releases in Rancho Cucamonga.
• Coordinate releases with stakeholders across Rancho Cucamonga, CA and remote teams.
• Propose cleaner patterns for the Jupyter data workflow.

Skills

Feature engineering

Remote-friendly teamwork

Creative problem solving

Learning mindset

Tools

TensorFlow

Airflow

Jupyter

Job description

Salesforce is seeking a junior AI Engineer in Rancho Cucamonga, CA to join a fast-moving team delivering reliable NLP-powered solutions. You will own hands-on components, receive mentorship, and contribute to machine learning workflows with TensorFlow, Airflow, and Jupyter.

The role emphasizes collaboration with remote teams, rapid problem solving for customers, and ongoing growth through certifications and learning time in a supportive environment.