Senior Machine Learning Engineer

The Machine Learning Developer designs builds ships and operates applications whose core behavior is model-driven rather than explicitly authored. The Developer builds the engine behind ServiceNows optimization products  the algorithms and pipelines that turn sophisticated scheduling and resource-allocation problems into fast reliable customer outcomes. The work is evolving where AI-driven once meant applying ML techniques to optimization problems it now also means using AI agents as part of the build process itself. This role expects both: someone who can design an efficient algorithm from scratch and someone who can specify a problem precisely enough to direct an AI agent to implement part of it then verify the result is correct. The developer owns the correctness performance and robustness of what ships regardless of whether a human or an agent wrote it.

What you get to do:

• Build Optimization applications. Design build and operate applications built around advanced optimization models in production at scale. This includes API design data ingestion multiprocessing observability advanced algorithm development performance benchmarking and automated testing. 
• Build automated evaluation and test model behaviour. Design and operate the evaluation system that supports development and delivering features with confidence.  
• Specify precisely and direct AI coding agents. Convert requirements into testable specifications with explicit scope constraints and acceptance criteria; decompose work into agent-sized tasks; and review agent output for correctness and maintainability. Contribute to teams AI-harness helping shape the way agents are leveraged. 
• Own quality safety and reliability in production. Manage deployments monitor service availability implement alerting and respond to customer issues before they even know they have a problem. 
• Deliver as a forward deployed engineer. Work closely with customers when the work calls for it. Understanding business requirements and product capabilities to help customers get to value faster and use learnings to influence product roadmap. 
• Collaborate across product design and engineering. Partner with product managers designers conversation designers and engineers to define success criteria align on tradeoffs and communicate capability and risk clearly. 

Qualifications :

• Experience. 5byears of related experience with a bachelors degree in computer science software engineering or related technical field. Advanced degrees or certifications (especially in Operations Research) are a bonus. 
• Software engineering fundamentals. Strong command of OOP data structures algorithms system design concurrency parallelism APIs data modeling and testing. 
• Experience with key Technologies: Experience with Python is strongly preferred; experience in Java JavaScript Kubernetes or GraphQL is a bonus. 
• Forward deployed delivery and stakeholder communication. Comfort working directly with customers under incomplete information and fixed timelines judgment about when a fast local solution is right and when to hold out for the durable one and credibility communicating capability limitation and risk to non-engineers. 
• Experience with mission critical systems. Demonstrated experience developing reliable and resilient systems. 
• AI Native Approach. Strong critical thinking and a track record of integrating AI into engineering processes SDLC workflows or decision making. 
• Domain expertise. Familiarity with Operations Research Vehicle Routing Problems Mathematical Optimization Field Service Management is a plus but not required 

Additional Information :

Work Personas

We approach our distributed world of work with flexibility and trust. Work personas (flexible remote or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service.

Equal Opportunity Employer

ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race color religion sex sexual orientation national origin age disability gender identity  veteran status or any other category protected by addition all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. 

Accommodations

We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process or are unable to use this online application and need an alternative method to apply please contact for assistance. 

Export Control Regulations

For positions requiring access to controlled technology subject to export control regulations including the U.S. Export Administration Regulations (EAR) ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. 

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Remote Work :

Yes

Employment Type :

Full-time