ML Engineer, Generative AI & Conversation Engine

ServiceNow; Mountain View (CA); On-site; USD 139,700 - 216,500; Full time

Benefits offered by this job

Health plans

401(k) plan with company match

ESPP

Matching donations

Flexible time away

Family leave programs

Equity

Job summary

Moveworks is seeking a Machine Learning Engineer to scale and optimize its Generative AI product for enterprise users. You will build the core conversation engine, craft scalable APIs, and integrate multilingual, low-latency capabilities across channels.

Join a fast-growing team at Moveworks, backed by ServiceNow, and help deliver robust AI that turns conversations into completed work across hundreds of millions of users.

Qualifications

• Bachelor's degree or higher in Computer Science or related field.
• 2+ years of professional development experience building scalable systems.
• Strong communication and cross-functional collaboration skills.
• Experience in API design and scalable architectures.
• Familiarity with debugging, tracing, and metrics frameworks.

Responsibilities

• Build extensive product infrastructure for enterprise AI applications.
• Design scalable API abstractions for the conversation platform.
• Scale and optimize the generative AI product for hundreds of millions of users.
• Champion best coding practices and drive continuous improvements.
• Collaborate with ML engineers, product teams, and support teams to ship features.

Skills

Scalable systems

API design

Performance optimization

Cross-functional collaboration

Communication skills

Education

Bachelor's degree or higher in Computer Science or related field

Job description

Moveworks is seeking a Machine Learning Engineer to scale and optimize its Generative AI product for enterprise users. You will build the core conversation engine, craft scalable APIs, and integrate multilingual, low-latency capabilities across channels.

Join a fast-growing team at Moveworks, backed by ServiceNow, and help deliver robust AI that turns conversations into completed work across hundreds of millions of users.