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Cisco Machine Learning Jobs (NOW HIRING)

Meet the Team Splunk, a Cisco company, is building a safer, more resilient digital world with an ... Solid proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow) * Experience ...

Cisco, through its company Splunk, is building a safer, more resilient digital world with a focus on AI and foundation models. The Principal Machine Learning Engineer will define the vision for AI ...

Cisco, through its company Splunk, is building a safer, more resilient digital world with a focus on AI and foundation models. The Principal Machine Learning Engineer will define the vision for AI ...

Cisco, through its company Splunk, is building a safer, more resilient digital world with a focus on AI and foundation models. The Principal Machine Learning Engineer will define the vision for AI ...

Meet the Team Splunk, a Cisco company, is building a safer, more resilient digital world with an ... Solid proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow) * Experience ...

Meet the Team Splunk, a Cisco company, is building a safer, more resilient digital world with an ... Solid proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow) * Experience ...

Meet the Team Splunk, a Cisco company, is building a safer, more resilient digital world with an ... Solid proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow) * Experience ...

Meet the Team Splunk, a Cisco company, is building a safer, more resilient digital world with an ... Solid proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow) * Experience ...

Meet the Team Splunk, a Cisco company, is building a safer, more resilient digital world with an ... Solid proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow) * Experience ...

Meet the Team Splunk, a Cisco company, is building a safer, more resilient digital world with an ... Solid proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow) * Experience ...

Meet the Team Splunk, a Cisco company, is building a safer, more resilient digital world with an ... Solid proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow) * Experience ...

Meet the Team Splunk, a Cisco company, is building a safer, more resilient digital world with an ... Solid proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow) * Experience ...

Meet the Team Splunk, a Cisco company, is building a safer, more resilient digital world with an ... Solid proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow) * Experience ...

Meet the Team Splunk, a Cisco company, is building a safer, more resilient digital world with an ... Solid proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow) * Experience ...

Meet the Team Splunk, a Cisco company, is building a safer, more resilient digital world with an ... Solid proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow) * Experience ...

Meet the Team Splunk, a Cisco company, is building a safer, more resilient digital world with an ... Solid proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow) * Experience ...

Meet the Team Splunk, a Cisco company, is building a safer, more resilient digital world with an ... Solid proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow) * Experience ...

Meet the Team Splunk, a Cisco company, is building a safer, more resilient digital world with an ... Solid proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow) * Experience ...

Meet the Team Splunk, a Cisco company, is building a safer, more resilient digital world with an ... Solid proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow) * Experience ...

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Cisco Machine Learning information

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How much do cisco machine learning jobs pay per hour?

As of Jun 5, 2026, the average hourly pay for cisco machine learning in the United States is $94.95, according to ZipRecruiter salary data. Most workers in this role earn between $92.79 and $96.15 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Cisco Machine Learning Engineer, and why are they important?

To thrive as a Cisco Machine Learning Engineer, you need strong skills in data science, programming (Python, R), and a solid understanding of machine learning algorithms, often supported by a degree in computer science, engineering, or a related field. Familiarity with Cisco technologies, cloud platforms, and tools like TensorFlow, PyTorch, and relevant certifications (e.g., Cisco DevNet) are typically required. Analytical thinking, problem-solving, and effective communication are essential soft skills for collaborating on complex projects and translating technical findings. These skills are crucial for developing, deploying, and optimizing machine learning solutions that drive innovation and business value within Cisco environments.

What are some common challenges faced by Cisco Machine Learning engineers when deploying models in a production environment?

Cisco Machine Learning engineers often encounter challenges such as ensuring model scalability to handle large volumes of network data, integrating models with existing infrastructure, and maintaining real-time performance. Security and data privacy are also critical concerns, given the sensitivity of network data. Collaboration with cross-functional teams—including network engineers, DevOps, and security specialists—is essential to address these challenges and ensure successful deployment and ongoing management of ML solutions.

What is a Cisco Machine Learning Engineer?

A Cisco Machine Learning Engineer is a professional who designs, develops, and implements machine learning models and solutions within Cisco's ecosystem. They work with large data sets to build algorithms that improve products and services such as network security, automation, and analytics. Their role often involves collaborating with software engineers, data scientists, and product teams to integrate intelligent features into Cisco's hardware and software offerings. These engineers are proficient in programming, data analysis, and have a strong understanding of networking concepts relevant to Cisco technologies.

What is the difference between Cisco Machine Learning vs Cisco Data Scientist?

AspectCisco Machine LearningCisco Data Scientist
Required CredentialsBachelor's or higher in CS, ML, or related fields; certifications like Cisco CCNA/CCNP may be beneficialBachelor's or higher in Data Science, Statistics, or related; often includes certifications in data analysis or programming
Work EnvironmentNetwork infrastructure, cybersecurity, and enterprise solutions within Cisco environmentsData analysis, modeling, and insights within Cisco's business and product data
Employer & Industry UsagePrimarily in networking, cybersecurity, and enterprise solutionsAcross data-driven projects, product development, and analytics teams

While both roles involve working with data and require technical skills, Cisco Machine Learning focuses on developing ML models for network and security solutions, whereas Cisco Data Scientists analyze data to inform business decisions. The roles often overlap but differ in their primary focus and application within Cisco's ecosystem.

More about Cisco Machine Learning jobs
What states have the most Cisco Machine Learning jobs? States with the most job openings for Cisco Machine Learning jobs include:
Infographic showing various Cisco Machine Learning job openings in the United States as of May 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 87% Full Time, and 11% Part Time. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $197,499 per year, or $95 per hour.
Principal Machine Learning Engineer

Principal Machine Learning Engineer

Cisco

San Jose, CA • On-site, Remote

$291K - $369K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago


Cisco Systems rating

8.6

Company rating: 8.6 out of 10

Based on 39 frontline employees who took The Breakroom Quiz

16th of 139 rated electronics manufacturers


Job description

The application window is expected to close on:
Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received.
Meet the Team
Splunk, a Cisco company, is building a safer, more resilient digital world with an end-to-end, full-stack platform designed for hybrid, multi-cloud environments. Join the AI Models team at Splunk, where we advance the state of AI for high-volume, real-time, multi-modal machine-generated data - including logs, time series, traces, and events. We combine deep AI research expertise with the scale and operational excellence of Splunk and Cisco's global engineering capabilities. Our work spans networking, security, observability, and customer experience - designing and deploying foundation models that enhance reliability, strengthen security, prevent downtime, and deliver predictive insights across Splunk Observability, Security, and Platform at enterprise scale. You'll be part of a culture that values technical excellence, impact-driven innovation, and cross-functional collaboration - all within a flexible, growth-oriented environment.
Your Impact
  • Set and Drive Vision: Define and champion the strategic vision for AI and foundation models across Splunk and Cisco platforms, shaping the research and technology roadmap to anticipate and address industry-defining challenges.

  • Architect and Lead Breakthroughs: Lead the end-to-end lifecycle of research, design, and deployment for large-scale foundation models targeting machine-generated data, with deep focus on logs and complementary modalities (time series, traces, events).

  • Influence at Scale: Partner with executive leadership, engineering, product, and data science teams to ensure AI solutions align with broader organizational objectives, product strategies, and customer needs.

  • Mentorship and Thought Leadership: Cultivate organizational excellence by mentoring senior technical talent, fostering research communities, and driving best practices in AI across global teams.

  • Foster Innovation: Embed cutting-edge research and technological advances into products, driving sustained competitive advantage and transformation at enterprise scale.

Minimum Qualifications:
  • PhD in Computer Science, or related quantitative field, plus 7+ years of industry research experience.

  • Proven track record in at least one of the following areas: large language modeling for both structure and unstructured data, deep learning-based time series modeling, advanced anomaly detection, and multi-modality modeling.

  • Solid proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow)

  • Experience translating research ideas into production systems.

Preferred Qualifications:
  • Deep NLP & Domain-Adapted LLMs: Background in building and adapting large-scale language models (e.g., T5, BERT, LLaMA, GPTs) for specialized domains including structured/unstructured logs, text, and event sequences.

  • Log Analytics Expertise - In-depth knowledge of structured/unstructured system logs, event sequence analysis, anomaly detection, and root cause identification.

  • Advanced Anomaly Detection - Experience creating robust, scalable approaches (statistical, deep learning, or hybrid) for high-volume, real-time logs data.

  • Multi-Modal AI Modeling - Strong track record fusing logs, time series, traces, tabular data, and graphs for foundation models tackling complex operational insights.

  • Large-Scale Training & Optimization - Experience optimizing model architectures, distributed training pipelines, and inference efficiency to minimize cost and latency while preserving accuracy.

  • MLOps & Continuous Learning - Fluency in automated retraining, drift detection, incremental updates, and production monitoring of ML models.

  • Strong Research Track Record - Publications in top AI/ML conferences or journals (e.g., NeurIPS, ICML, ICLR, AAAI, CVPR, ACL, KDD) demonstrating contributions to state-of-the-art methods and real-world applications.

Why Cisco?
At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.
Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.
We are Cisco, and our power starts with you.
Message to applicants applying to work in the U.S. and/or Canada:
The starting salary range posted for this position is $291,500.00 to $369,100.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits.
Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process.
U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time.
U.S. employees are eligible for paid time away as described below, subject to Cisco's policies:
  • 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees
  • 1 paid day off for employee's birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco
  • Non-exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees
  • Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations)
  • 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next
  • Additional paid time away may be requested to deal with critical or emergency issues for family members
  • Optional 10 paid days per full calendar year to volunteer

For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies.
Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows:
  • .75% of incentive target for each 1% of revenue attainment up to 50% of quota;
  • 1.5% of incentive target for each 1% of attainment between 50% and 75%;
  • 1% of incentive target for each 1% of attainment between 75% and 100%; and
  • Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation.

For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid.
The applicable full salary ranges for this position, by specific state, are listed below:
New York City Metro Area:
$291,500.00 - $424,400.00
Non-Metro New York state & Washington state:
$259,400.00 - $377,600.00
* For quota-based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined.
** Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements.

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About Cisco Systems

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Cisco Systems, a global tech titan based in San Jose, CA, US, operates in the information technology and services industry. Founded in 1984, the company was derived from a project between two computer scientists from Stanford University. They aimed to connect different networks of computer systems at the university, resulting in the first multi-protocol router, and subsequently, the birth of Cisco. As an industry-leading manufacturer of networking hardware and telecommunications equipment, Cisco's product and services range includes routers, switches, firewall devices, and telecommunication technology. The company's mission, "to shape the future of the Internet by creating unprecedented value and opportunity for our customers, employees, investors, and ecosystem partners," is a testament to its pursuit of technology-forward innovation and customer satisfaction.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

San Jose, CA, US

Year founded

1984

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