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Machine Learning Engineer - ThousandEyes

Cisco

Machine Learning Engineer - ThousandEyes

Cisco

San Francisco, California, US

·

On-site

·

Full-time

·

6d ago

The application window is expected to close on: 04/30/2026
Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received.

Who We Are

Cisco Thousand Eyes is a Digital Experience Assurance platform that empowers organizations to deliver flawless digital experiences across every network - even the ones they don’t own. Powered by AI and an unmatched set of cloud, internet and enterprise network telemetry data, Thousand Eyes enables IT teams to proactively detect, diagnose, and remediate issues - before they impact end- user experiences.

Thousand Eyes is deeply integrated across the entire Cisco technology portfolio and beyond, helping customers deploy at scale while also delivering AI-powered assurance insights within Cisco’s leading Networking, Security, Collaboration, and Observability portfolios.

About The Role As an AI Engineer on the AI/ML team, you will be responsible for training and tuning the models and performing model evaluations using Deep Learning Machine Learning (AI/ML) Models, and Large Language Models. In this role, you will also be working on data collection design, data engineering, feature engineering, and eval frameworks. The size, diversity, and richness of our data are simply unmatched. The Internet is changing fast, and we are too. The objective of this initiative is to adopt a highly novel and ambitious approach for optimizing networks to better serve applications.

What You’ll Do:

You will work with a team of AI engineers to design, implement, and maintain large-scale AI/ML pipelines, including tuning and evaluating LLMs. You will be building evaluation frameworks and metrics and evaluating Deep Learning and transformer-based models and LLMs.

Qualifications:

  • 1+ years of software development experience in building and evaluating ML models and delivering large-scale ML products.

  • BS, MS or PhD in a relevant field

  • Proficient in crafting machine learning models, your expertise spans neural networks including transformer models, Large Language Models, decision trees, and other traditional machine learning models, translating conceptual ideas into actual solutions.

  • Fluent in some of these machine learning frameworks such as SKLearn, XGBoost, Py Torch, or Tensorflow, and can leverage code as a strategic tool to shape innovative solutions

  • You will be proficient in Python and will be able to transform abstract machine learning concepts into robust, efficient, and scalable solutions

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 $160,100.00 to $207,900.00 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:

$160,100.00 - $239,000.00

Non-Metro New York state & Washington state:

$146,200.00 - $212,800.00

  • 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

Cisco

Cisco

Public

Cisco Systems, Inc. is an American multinational technology conglomerate corporation that develops, manufactures, and sells hardware, software, telecommunications equipment and other high-technology services and products focused on networking, cyber security and AI.

10,001+

Employees

San Francisco

Headquarters

$317B

Valuation

Reviews

3.4

3 reviews

Work Life Balance

2.0

Compensation

3.0

Culture

2.5

Career

2.5

Management

2.0

25%

Recommend to a Friend

Pros

Respectable company reputation

Good for resume/interviews

Recognized brand name

Cons

Poor communication/ghosting candidates

Work-life balance concerns

Overwork culture

Salary Ranges

0 data points

Junior/L3

L2

L3

L4

L5

L6

L7

M3

M4

M5

M6

Mid/L4

Senior/L5

Staff/L6

Junior/L3 · Data Scientist Grade 4

0 reports

$118,000

total / year

Base

-

Stock

-

Bonus

-

$100,300

$135,700

Interview Experience

4 interviews

Difficulty

3.0

/ 5

Duration

14-28 weeks

Experience

Positive 0%

Neutral 25%

Negative 75%

Interview Process

1

Application Review

2

Phone Screen

3

Technical Interview Round 1

4

Technical Interview Round 2

5

Behavioral Interview

6

Team Matching

7

Final Round

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge