8 openings · 3 companies · Updated November 12, 2026
Machine learning engineers and scientists building ML models and pipelines.
8 jobs
Please note, this team is hiring across all levels and candidates are individually assessed and appropriately leveled based upon their skills and experience. Within Netskope Engineering,…
AI R&D · Machine Learning · Security · Networking · Operations
Architect and scale enterprise AI platform capabilities, including model gateways, intelligent routing, cost governance, LLM observability, evaluation pipelines, and long-term agent…
IT Data Strategy · Machine Learning · LLM · Security · Support
AI Engineering and Delivery is the customer-obsessed engineering group building the agentic AI and enterprise-scale search systems that power Now Assist, AI Agents, and the AI-driven…
Engineering · Python · Java · Go · Machine Learning
What you get to do in this role: The AI Services Platform Group at ServiceNow is a customer-focused innovation group building intelligent software and smart user experiences using…
Engineering · Python · Go · Kubernetes · Machine Learning
The Forward Deployed Engineer, Voice AI Agent Engineering designs, builds, ships, and operates voice AI agents whose core behavior is model-driven rather than explicitly authored —…
Engineering · Machine Learning
What you get to do in this role: Contribute to the design, development and implementation of the core Voice Platform (Audio Acquisition, Conversation Management, Speech…
Engineering · Python · Java · Golang · Kubernetes
Team Platform Security builds foundational security infrastructure and AI-driven detection systems for enterprise-scale operations. Our mission is to make security proactive,…
Engineering · Kubernetes · Machine Learning · LLM · Security
As a Senior Staff Machine Learning Scientist, you own the inference and optimization layer that makes AI in agentic workflows fast, efficient, and production-grade. You fine-tune and…
AI R&D · Machine Learning · Security · Networking · Product
There are 8 open Machine Learning jobs in Santa Clara, CA right now, posted by 3 employers, including ServiceNow, Netskope and Zscaler. 4 of them were posted in the last seven days, and the newest on November 11, 2026.
Most openings ask for 6–9 years of experience; 13% are remote and 25% hybrid; where employers publish pay, ranges run from $161K to $352K a year (median starting pay $176K); the skills asked for most are Machine Learning, Engineering, Security, Python and Kubernetes.
Every listing comes from the employer's own careers page and is refreshed twice a day (last update November 12, 2026). Apply opens the employer's own application page; there is no sign-up and no fee.
8 Machine Learning jobs are open in Santa Clara, CA as of November 12, 2026, from 3 employers. The list is refreshed twice a day from the employers' own career pages, and closed openings are removed.
ServiceNow (5), Netskope (2) and Zscaler (1). Use the Company filter to see one employer's openings.
Among openings that publish pay (many US states require a pay range in the posting), yearly pay runs from $161K to $352K, with a median starting figure of $176K. Hourly rates are counted at 2,080 hours a year. These are the employers' published ranges, not guaranteed pay.
Not at the moment: the current openings ask for three years or more, or do not say.
1 opening is fully remote and 2 hybrid, as stated by the employer. Remote roles are open to people in the US unless the posting names specific states. Pick Remote or Hybrid under Work mode.
Most US employers ask that you are authorized to work in the United States; postings often say whether visa sponsorship is offered. Each job page shows who may apply when the posting says so; check the full posting before you apply.
Open a job and press Apply: it takes you to the employer's own careers page, where you apply directly. askjobs does not collect resumes, act as a recruiter or charge anything.
