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Google Machine Learning Engineer Jobs in Seattle, WA

Machine Learning Engineer

Seattle, WA · On-site

$165K - $209K/yr

... data engineering, machine learning engineering, or related roles. * Data Pipelineexperience, designingand scaling data pipelines for unstructured or semi-structured data, including ingestion ...

Sr. Machine Learning Engineer

Seattle, WA · On-site

$118K - $163K/yr

PitchBook, a Morningstar company, is seeking a Senior Machine Learning Engineer to join their Product and Engineering team. The role involves delivering AI-powered features that extract insights from ...

We're looking for a Machine Learning Engineer to join Snap Inc! What you'll do: * Build and deploy machine learning models that power core products, serving millions of Snapchatters * Apply modern ML ...

Machine Learning Engineer

Seattle, WA · On-site

$135K - $210K/yr

We are looking for a Machine Learning Engineer to build creative, practical, and robust solutions to ML/CV software and infrastructure problems , relating to training edge ML models on massive ...

Machine Learning Engineer

Seattle, WA · On-site

$135K - $210K/yr

We are looking for a Machine Learning Engineer to build creative, practical, and robust solutions to ML/CV software and infrastructure problems , relating to training edge ML models on massive ...

Sr. Machine Learning Engineer

Seattle, WA

$118K - $163K/yr

As a Senior Machine Learning Engineer (MLE) on the AI & ML (Insights) team, you will play a critical role in delivering AI-powered features that extract meaningful insights from PitchBook's wealth of ...

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Google Machine Learning Engineer information

See Seattle, WA salary details

$35.8K

$146.5K

$220.2K

How much do google machine learning engineer jobs pay per year?

As of Jul 14, 2026, the average yearly pay for google machine learning engineer in Seattle, WA is $146,543.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,500.00 and $176,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Google Machine Learning Engineer position, and why are they important?

To thrive as a Google Machine Learning Engineer, you need strong expertise in mathematics, statistics, programming (especially Python or C++), and a solid background in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), cloud platforms (like Google Cloud), and advanced certifications can be highly beneficial. Excellent problem-solving, teamwork, and communication skills help you collaborate across teams and explain complex models to stakeholders. These skills are essential to driving innovation, building scalable solutions, and ensuring impactful results in a fast-paced, research-driven environment.

What is a Google Machine Learning Engineer job?

A Google Machine Learning Engineer designs, builds, and optimizes machine learning models to improve Google's products and services. They work with large datasets, implement algorithms, and deploy scalable AI systems. Collaboration with data scientists, software engineers, and product teams is essential to integrate models into real-world applications. Strong knowledge of Python, TensorFlow, and cloud computing is often required. This role focuses on both research and practical implementation to enhance automation and decision-making across Google products.

What types of projects and collaborations can Google Machine Learning Engineers expect to be involved in?

Google Machine Learning Engineers often contribute to diverse projects, such as developing next-generation search algorithms, optimizing user experiences across products, or creating scalable machine learning systems for internal and external clients. The role frequently involves collaborating with data scientists, product managers, software engineers, and researchers to define project goals and deliver impactful solutions. You can expect to participate in code reviews, prototype new models, and provide expert input during technical discussions. This collaborative, interdisciplinary approach ensures innovative outcomes and offers ongoing opportunities for professional growth and skill development.

What are the most commonly searched types of Google Machine Learning Engineer jobs in Seattle, WA? The most popular types of Google Machine Learning Engineer jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Google Machine Learning Engineer jobs? Cities near Seattle, WA with the most Google Machine Learning Engineer job openings:
Machine Learning Engineer

Machine Learning Engineer

Cisco Systems, Inc.

Seattle, WA • On-site

$165K - $209K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Cisco Systems rating

8.0

Company rating: 8.0 out of 10

Based on 42 frontline employees who took The Breakroom Quiz

46th of 142 rated electronics manufacturers


Job description

The application window is expected to close on: 07/13/2026

Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received.

This is a hybrid role based out of Cisco's San Jose or Seattle office.

Meet the Team

The Cisco AI Research team is composed of AI research scientists, data scientists, and network engineers with deep subject matterexpertise. This diverse group collaborates on both foundational and applied research projects, driven by the challenge of connecting people and devicesata global scale. The team is newly formed and dynamic, blending AI and networking domain experts who work closely with engineers, product managers, and strategists experienced in AI and distributed systems.Members have the opportunity to shape the culture and direction of this growing team.

Your Impact

We are seeking a Machine LearningEngineertobuild dynamic troubleshooting agents thatdon'tjustmonitornetworks-they understand them. Our team is solving for the massive complexity of unstructured production log data, optimizing hardwareutilizationfor data collection, and automating the creation of synthetic datasets that push the boundaries of what LLMs can achieve in network configuration and remediation. Youwon'tjust bemaintainingpipelines,you will be architecting the data infrastructure that allows our models to reason through real-world network failures in real-time.

  • Design and scale automated pipelines that transform raw, high-velocity production logs into high-qualityinsights.

  • Developsystems that generate synthetic data, enabling our models to learn from edge cases that rarely occur in the wild.

  • Solvenetworkcomplexityproblemsbytackling theunique challenges of time and network state dependencies to improve the accuracy of our agents.

  • Optimizeatscalethroughefficient datacollection and hardwareutilization, ensuring our ML infrastructureremainsperformant as our agent capabilities expand.

  • Help shape thefuture of Network AIby collaboratingdirectly with researchers to define the next generation of AI-driven network management forCisco networkproductssuch asMeraki,ThousandEyes, Catalyst Centerand Nexus.

Minimum Qualifications

  • Bachelor's degree inSTEMand5+ years ofrelevant experience, orMaster'sdegree inSTEMand 3+ years of relevant experienceand or PhD inSTEM+0 years of relevantexperienceor equivalent related work experience

  • 5+ yearsof experience in data engineering, machine learning engineering, or related roles.

  • Data Pipelineexperience, designingand scaling data pipelines for unstructured or semi-structured data, including ingestion, cleansing, and auditing.

  • ML Infrastructure experienceworkingwith ML data workflows, including dataset creation, labeling, and evaluation.

  • Experience withPython and data processing frameworks (e.g., Spark, Beam, Ray).

  • Experience with ML systems and tools, such as training pipelines and model evaluation frameworks.

Preferred Qualifications

  • Experience with human-in-the-loop ML systems, active learning, weaksupervisionor self-evolving agents.

  • Exposurelarge language models, computer vision, or speech datasets.

  • Experience building internal tools or platforms used by annotation or operations teams.

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 $165,300.00 to $209,200.00 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 ofunused sick timecarried forwardfrom one calendar yearto 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:

$181,000.00 - $270,300.00

Non-Metro New York state & Washington state:

$165,300.00 - $240,600.00

* 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.


What Cisco Systems employees say

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About Cisco Systems

Sourced by ZipRecruiter

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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