This full-time Machine Learning Engineer role at ServiceNow, part of the newly acquired Moveworks team, offers an exceptional chance for an early-career professional to work on cutting-edge Agentic AI. You’ll be critical in scaling and optimizing a Generative AI product designed to automate enterprise tasks through natural language, blending the agility of a high-growth company with the global reach of a market leader.
Job Snapshot
Company: ServiceNow
Role: Machine Learning Engineer, Agentic Product – Moveworks
Location: Mountain View, CA
Work Type: Full-time
Pay Range: $110,000 – $150,000 / year
🔥 DSFOR Insider Take: Why This Role Matters
This isn’t just another ML role; it places you at the intersection of a major acquisition and the forefront of Agentic AI. Joining ServiceNow means you’re backed by a global market leader, providing stability and vast resources, while still benefiting from the innovative, fast-paced environment of the recently acquired Moveworks team. You’ll gain invaluable experience in scaling Generative AI products for enterprise, tackling challenges in probabilistic conversational systems, and applying abstraction and optimization techniques to real-world problems. This experience will equip you with a rare blend of skills in large-scale AI deployment and natural language processing, setting a strong foundation for a career in advanced AI development. Working at the core of their Conversation Engine, you’ll contribute directly to transforming how millions of employees interact with business systems, opening doors to future leadership roles in AI product development and engineering.
Role Overview & Responsibilities
As a Machine Learning Engineer on the Conversation Engine team, you will collaborate with machine learning experts and cross-functional teams to scale and optimize a cutting-edge Generative AI product for enterprise users.
- Scale and optimize a Generative AI product to meet the growing demands of the enterprise solution space.
- Apply abstraction, scalability, and optimization to a dynamic, probabilistic, and generative conversational system.
- Rapidly iterate over new ideas and leverage user behavior data for informed decision-making.
- Enhance the end-to-end product infrastructure with high engineering quality and robustness.
- Contribute innovative ideas to solve unsolved problems in enterprise AI.
- Support hundreds of millions of users across multiple chat channels and use cases.
Requirements
- Experience or strong interest in applying Machine Learning to natural language processing and conversational AI.
- Ability to contribute innovative ideas and imagination to solve complex problems.
- Familiarity with scaling and optimizing large-scale systems.
- Understanding of abstraction, scalability, and optimization principles for dynamic and probabilistic systems.
- A background that allows you to engage with the core of Generative AI products for enterprise.
📅 What to Expect
You’ll join the Conversation Engine team within the Moveworks group at ServiceNow, a pivotal team focused on the core Generative AI product. The environment encourages innovation, inviting you to bring your own ideas to solve challenging, unsolved problems in enterprise AI. Expect a collaborative setting where you’ll work closely with ML experts and various cross-functional teams, engaging in rapid iteration cycles informed by user behavior data. This role provides a unique opportunity to contribute to a product trusted by millions of employees at Fortune 500 companies.
This is an on-site, full-time role located in Mountain View, CA.
🎯 Application & Resume Tips for ServiceNow
Highlight Agentic AI Experience: Clearly articulate any projects, coursework, or internships where you worked with generative AI, natural language processing, or autonomous agent systems. Even academic projects demonstrating an understanding of how AI can “take initiative” are valuable.
Emphasize Scalability & Optimization: Since a core focus is scaling and optimizing the conversation engine, showcase any experience with high-performance computing, distributed systems, or optimizing algorithms for efficiency. Mention metrics achieved if possible.
Showcase Problem-Solving and Innovation: The role emphasizes bringing “innovative ideas and imagination to solve unsolved problems.” In your resume and cover letter, describe instances where you’ve approached complex technical challenges with creative solutions or contributed novel ideas to a project.
📎 How to Apply
Review the requirements above and ensure your resume reflects the key skills highlighted in this role. Applications are reviewed on a rolling basis, so applying early is strongly recommended.
👉 Click here to apply on the official ServiceNow careers page.
