Machine Learning Engineer, Agentic Product - Moveworks

Overview

Moveworks is the Agentic AI Assistant platform that empowers the entire workforce.

Job Description

What you get to do in this role:

Are you up for an exciting challenge? Picture yourself scaling and optimizing a cutting-edge Generative AI product that offers instant assistance to enterprise users. You will join our Conversation Engine team and work at the core of Moveworks Generative AI product. Your main focus will be scaling and optimizing it to meet the growing demands of the enterprise solution space. You will collaborate with machine learning experts and cross-functional teams, rapidly iterating on new ideas and using user behavior data to inform decisions. Your challenge is to scale and optimize our conversation engine to support hundreds of millions of users across multiple chat channels and use cases, and to enhance our end-to-end product infrastructure with robust engineering quality.

• Construct an extensive product infrastructure with user-friendly interfaces that empower engineers and configurators to customize and optimize generative AI models, including collecting data and feedback, adapting to diverse enterprise use cases, and delivering domain-specific conversational experiences.
• Design scalable API abstractions for our conversation platform, supporting all popular chat clients (for example, MSTeams, Slack, and Web) and providing a neutral API for other parts of the engineering system.
• Optimize the dialog engine to support a wide range of conversational features using private domain knowledge unique to each enterprise customer in the cloud, with minimal memory footprint and low latency.
• Champion best practices for coding patterns, API design, scalability, robustness, and optimization. Foster a culture of excellence and continuous improvement among engineers.
• Provide comprehensive insights and visibility into the performance of our conversational AI product by implementing robust logging and tracing, debugging and triaging tools, and automated metrics for monitoring and analysis.
• Collaborate with ML engineers, application engineers, product teams, and customer support to drive new feature development and scalability initiatives.

Qualifications

• A strong foundation in computer science and software engineering with experience building scalable systems.
• Deep understanding of clean, modular, and scalable API design; ability to champion coding best practices and influence engineers to maintain high quality.
• Passion for optimizing systems; familiarity with tracing, logging, and metrics frameworks; systematic approach to identifying and resolving latency bottlenecks, race conditions, and throughput limitations.
• Ability to independently research new requirements and develop innovative solutions; thrives in fast-paced coding and rapid iterations.
• Strong communication skills to articulate rationales and design approaches; cross-functional collaboration experience.
• Bachelor’s degree or higher in computer science or a related field.
• 2+ years of professional development experience building systems at scale.

Additional Information

Work Personas
We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are assigned based on the nature of work and location. Eligibility for a work persona may be determined by distance between your residence and the nearest ServiceNow office.

Equal Opportunity Employer
ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, qualified applicants with arrest or conviction records will be considered as required by law.

Accommodations
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Export Control Regulations
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