Full-Time
Staff Machine Learning Engineer
Agentic Systems, Moveworks
Posted on 8/23/2026
ServiceNow
10,001+ employees
Cloud-based digital workflow and automation platform
No salary listed
Mountain View, CA, USA
In Person
 AI & Machine Learning (1) |
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- 8+ years experience designing, building, and improving production systems, ideally at scale
- Ability to think and communicate clearly about complex engineering problems and systems
- Comfort giving and receiving feedback, and in holding yourself and your coworkers accountable to a high standard of operational excellence
- Readiness to hit the ground running in a Mac development environment, programming in Python, Golang, and/or Java
- Desire to ship at a startup pace with a high degree of ownership
- Attention to detail
- Drive to ship product improvements with production-grade code
- Strong appetite for continuous incremental wins and completing challenging projects fast
- High level of curiosity about engineering outside of immediate discipline and ongoing desire to learn and stay at the cutting edge of applied AI
- Take on exciting and difficult engineering challenges (see areas listed above) to build and evolve capable AI agent systems that are reliable in every sense of the word
- Implement frontier AI algorithms and architectures and help productionize them at scale
- Use the latest advances in machine learning, LLMs, and AI agents to enhance our products and create delightful user experiences
- Contribute to roadmap and help drive the evolution of engineering areas of growing scope and impact to create lasting value for all our customers
- Hone your craft in writing robust, extensible, readable, and performant code
- Partner with subject matter experts across the company including in machine learning, security, product, user experience, and customer success, to learn from each other and build the best enterprise AI product the world has ever seen
- Mentor other engineers on the team in how to build, maintain, and evolve great software
- Collaborate with machine learning engineers, learn from each other, and build world-class AI systems
ServiceNow provides a cloud-based digital workflow platform that helps large organizations automate and streamline operations across IT, customer service, HR, security, and other business areas. Its Now Platform hosts a suite of applications via a SaaS model, where customers subscribe to access, update, and receive support and optional consulting services. The platform works by offering configurable workflows and automation across multiple business processes, enabling integration with existing systems and data, with regular updates delivered as part of the subscription. This approach differentiates ServiceNow from competitors through its enterprise-grade, cross-domain workflow platform, strong integration capabilities, and emphasis on a unified experience across IT and business operations. The company’s goal is to help customers modernize operations, reduce costs, and improve service delivery and experiences for employees and customers through automated digital workflows.
Company Size
10,001+
Company Stage
IPO
Headquarters
Santa Clara, California
Founded
2004
Get referred to ServiceNow
See people who can refer or advise you
Simplify's Take
What believers are saying
- Q2 2026 subscription revenue reached $3.877 billion, up 24.5%, and guidance rose again.
- AI ACV crossed $1 billion in Q2 2026, with net new AI ACV accelerating.
- Microsoft Agent 365, AWS Bedrock AgentCore, and NVIDIA integrations widen enterprise distribution.
What critics are saying
- ServiceNow cut up to 1,000 jobs in 2026 after Armis, Veza, and Moveworks.
- Heavy acquisition integration risks product focus, margins, and execution through late 2026.
- Microsoft and OpenAI subsume ServiceNow workflows inside Copilot, shrinking the core platform.
What makes ServiceNow unique
- ServiceNow AI Control Tower governs agents across AWS, Microsoft, SAP, Oracle, and Workday.
- Its 2026 platform bundles AI, data, security, and workflow execution into every offering.
- The Store and 2,700-partner ecosystem turn customer workflows into distributable enterprise apps.
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Benefits
Generous family leave
Flexible PTO
Matched Donations
Retirement benefits
Annual learning stipends
Paid volunteer time
Growth & Insights and Company News
6 month growth
↓ -1%1 year growth
↓ -4%2 year growth
↓ -1%Salesforce and ServiceNow both surpassed $1 billion in AI revenue but are taking different paths. Salesforce reported $11.13 billion in revenue, up 13%, with $6.7 billion in operating cash flow and a $25 billion share buyback. Its Agentforce and Data 360 products generated $3.4 billion in AI and data annual recurring revenue. ServiceNow grew faster, with subscription revenue of $3.877 billion, up 24.5%. The company secured 123 deals worth over $1 million and saw agentic deployments increase ninefold in nine months. However, operating income fell 54.75% due to acquisition costs. The companies' strategies differ: Salesforce focuses on agentic CRM, whilst ServiceNow positions itself as an AI control platform. This is reflected in their valuations, with Salesforce trading at 23 times trailing P/E versus ServiceNow's 75 times.
Software-as-a-Service companies are experiencing a resurgence after last year's selloff driven by artificial intelligence concerns. Several SaaS firms have demonstrated strong growth by incorporating AI into their operations. Palantir Technologies reported 93% year-over-year revenue growth in its most recent quarter, whilst Shopify posted 34% growth and ServiceNow achieved 24% growth. Despite their strong performance, Palantir and Shopify shares have declined this year and trade at premium valuations. ServiceNow, which provides workflow automation services to over 8,800 enterprise clients, appears relatively undervalued compared to its peers. The company's platform integrates legacy operations and AI agents into a unified interface. CEO Bill McDermott highlighted that AI software spending is expected to grow 53% this year, outpacing AI hardware spending growth by 17%.
ServiceNow's share price rose 12% in July, driven by strong second-quarter results and a broader recovery in software stocks. The enterprise software company reported revenue of $3.99 billion, up 24% year over year, surpassing analyst estimates of $3.93 billion. Subscription revenue, which investors favour for its consistency, increased nearly 25% to $3.88 billion. Adjusted net income rose 9% to $930 million, or $0.90 per share, beating the consensus estimate of $0.86. The company highlighted significant AI adoption, noting that agentic deployments on its core platform increased ninefold over nine months. ServiceNow raised its annual subscription revenue guidance to between $15.76 billion and $15.78 billion, reflecting nearly 23% growth over 2025.
ServiceNow has opened its first dedicated office in Brazil and announced three academic partnerships to develop AI talent in the region. The São Paulo facility spans 1,765 square metres and features 73 workstations, 11 conference rooms, two training rooms, and an outdoor terrace. The company's Latin American team has more than tripled over the past three years. In 2025, the number of customers purchasing AI in the region nearly quadrupled. ServiceNow and SENAI-SP launched an AI skills training programme in 2025 that has reached over 1,500 participants across São Paulo state. To date, 719 students have graduated, with 808 currently enrolled. Of these, 126 have earned the Certified System Administrator certification.
Tech analyst Dan Ives described the recent software stock sell-off as the most disconnected from business fundamentals since the late 1990s, despite fears of AI competition. Microsoft, Salesforce, and ServiceNow have underperformed the broader market this year, with declines of up to 29%. Recent earnings support Ives' bullish stance. Microsoft reported 18% year-over-year revenue growth, with paid Microsoft 365 Copilot seats exceeding 30 million. ServiceNow's subscription revenue grew 23% in constant currency, closing 123 deals over $1 million. Salesforce beat analyst estimates with 14% revenue growth and signed a record 98 deals worth over $1 million in new annual contract value. The results suggest customers are turning to established software providers for AI integration and security, validating these companies' central role in AI infrastructure.