AI Safety & Reasoning Engineer (Reasoning Transparency)

Posted 2 Days Ago
2 Locations
In-Office or Remote
139K-282K Annually
Senior level
Cloud • Information Technology • Internet of Things • Professional Services • Software
The Role
Build production infrastructure and evaluation pipelines for AI safety and reasoning transparency. Analyze model activations and latent representations, develop red-teaming and behavioral auditing frameworks, integrate transparency probes into inference systems, and evaluate risks such as misalignment, sycophancy, deception, and coordination. The role also prototypes AI safety research, manages performance and operational constraints, and communicates technical findings and limitations to cross-functional partners.
Summary Generated by Built In
The application window is expected to close on: 12/30/2026

Meet the Team


Join Cisco’s Enterprise AI team, the core group enabling Generative AI powered experiences across Cisco. Our mission is to build secure, scalable AI platforms that empower teams to safely develop, deploy, and operationalize AI-powered solutions. We operate at the intersection of applied AI, cloud infrastructure, and security, partnering across engineering, security, compliance, and product teams to bring trusted AI to life at enterprise scale. We are a fast-growing, highly collaborative team of platform engineers, AI engineers, and data scientists who value technical depth, ownership, and pragmatic execution. What makes this team exciting is the opportunity to define how secure Generative AI is built and governed inside a global technology leader. In this role, you will connect AI safety research with production engineering. You will develop methods and infrastructure to assess whether model behavior reflects its internal state, and help ensure deployed AI systems remain reliable, honest, and aligned as they use increasingly complex inference-time computation.

Your Impact You will operationalize transparency by translating concepts from mechanistic interpretability and eliciting knowledge into scalable pipelines that run alongside model inference. You will build infrastructure to extract, map, and interpret model activations and latent representations, supporting analysis of how internal signals relate to model outputs. You will design red-teaming frameworks and automated behavioral auditing stress tests to identify misalignment, sycophancy, deceptive behavior, and coordination risks across models or agents. You will partner with ML engineering to integrate transparency probes while managing inference latency, memory use, reliability, and operational cost. Additionally, you will track relevant AI safety research to rapidly prototype, evaluate, and deploy promising transparency methods, while defining evaluation methods to communicate evidence, limitations, and actionable findings to research, engineering, and product partners.


Minimum Qualifications


  • Bachelors + 7 years of related experience, or Masters + 4 years of related experience, or PhD + 1 year of related experience, or equivalent related work experience
  • Hands-on experience deploying or operating machine learning models in a production or production-like environment using Python.
  • Demonstrated ability to conduct rigorous empirical work and communicate technical results, assumptions, and limitations to cross-functional collaborators.
  • Practical understanding of transformer-based language models, inference-time computation, and alignment approaches such as RLHF or RLAIF.
  • Proficiency in building evaluation frameworks that utilize adversarial prompt engineering to probe model limits and ensure model reliability and safety.

Preferred Qualifications


  • High proficiency in Python frameworks, including experience building performant code for distributed training or high-throughput inference environments.
  • Hands-on experience probing, mapping, or analyzing model activations, circuits, representations, or other internal states.
  • Experience deploying and operating ML pipelines with container orchestration such as Kubernetes, CI/CD tools, and model tracking tools.
  • Experience applying information security principles or structured threat modeling to AI systems, model infrastructure, or sensitive data.
  • Familiarity with methods for eliciting model knowledge or beliefs and evaluating cases where stated outputs may diverge from internal signals.
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 $139,300.00 to $203,600.00 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:

$167,700.00 - $282,000.00

Non-Metro New York state & Washington state:

$149,100.00 - $250,900.00

* 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.

Skills Required

  • Bachelor's degree plus 7 years of related experience, or Master's degree plus 4 years, or PhD plus 1 year, or equivalent related work experience
  • Hands-on experience deploying or operating machine learning models in production or production-like environments using Python
  • Ability to conduct rigorous empirical work and communicate technical results, assumptions, and limitations to cross-functional collaborators
  • Practical understanding of transformer-based language models, inference-time computation, and alignment approaches such as RLHF or RLAIF
  • Proficiency building evaluation frameworks using adversarial prompt engineering to probe model limits and ensure reliability and safety
  • High proficiency with Python frameworks and experience building performant code for distributed training or high-throughput inference environments
  • Experience probing, mapping, or analyzing model activations, circuits, representations, or other internal states
  • Experience deploying and operating ML pipelines with Kubernetes, CI/CD tools, and model tracking tools
  • Experience applying information security principles or structured threat modeling to AI systems, model infrastructure, or sensitive data
  • Familiarity with methods for eliciting model knowledge or beliefs and evaluating divergence between stated outputs and internal signals

Cisco Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Cisco and has not been reviewed or approved by Cisco.

  • Healthcare Strength — Healthcare coverage is described as comprehensive, with medical, dental, vision, mental-health resources, and expert second-opinion services. These offerings are positioned as a core pillar of the Total Rewards package.
  • Leave & Time Off Breadth — Time off is portrayed as expansive, with quarterly company-wide “Days for Me,” paid holidays and vacation, volunteer time, emergency leave, and a year-end shutdown in many locations. This breadth helps employees disconnect and recharge.
  • Parental & Family Support — Family support is emphasized through extended paid parental leave for primary caregivers, caregiving assistance, adoption support, and resources for parents and caregivers. These programs are presented as global offerings, with specifics determined locally.

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The Company
HQ: San Jose, CA
77,500 Employees
Year Founded: 1984

What We Do

Cisco (NASDAQ: CSCO) enables people to make powerful connections--whether in business, education, philanthropy, or creativity. Cisco hardware, software, and service offerings are used to create the Internet solutions that make networks possible--providing easy access to information anywhere, at any time. Cisco was founded in 1984 by a small group of computer scientists from Stanford University. Since the company's inception, Cisco engineers have been leaders in the development of Internet Protocol (IP)-based networking technologies. Today, with more than 71,000 employees worldwide, this tradition of innovation continues with industry-leading products and solutions in the company's core development areas of routing and switching, as well as in advanced technologies such as home networking, IP telephony, optical networking, security, storage area networking, and wireless technology. In addition to its products, Cisco provides a broad range of service offerings, including technical support and advanced services. Cisco sells its products and services, both directly through its own sales force as well as through its channel partners, to large enterprises, commercial businesses, service providers, and consumers.

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