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Aws Machine Learning Jobs in Oregon (NOW HIRING)

OR · On-site

$122K - $161K/yr

As a Senior Software Engineer, you'll partner closely with Product, Machine Learning, Pricing ... Experience with cloud platforms (AWS preferred) and modern cloud-native application development

OR · On-site

$372K - $600K/yr

To learn more about the work in this role, see our recent presentation at AWS Re:invent. In this role, you will: Build and maintain machine learning models that predict the infrastructure cost impact ...

OR

$134K - $180K/yr

You will lead efforts to deliver software that uses machine learning to optimize pricing and ... Experience developing large scale distributed systems in AWS * Strong sense of ownership and ...

Deploy and manage AI workloads within secure AWS cloud environments * Integrate security controls ... Advanced knowledge of AI, machine learning, deep learning, and data science concepts (Master's or ...

Senior Data Engineer

$117K - $146K/yr

NET code to a scalable, cloud-native architecture on AWS and expanding into our Databricks ... Exposure to machine learning pipelines and real-time data processing Benefits * Medical and Dental ...

You will work closely with cross-functional counterparts in Analytics, Marketing, Machine Learning ... Experience building scalable APIs and microservices in a cloud-based environment (e.g., AWS, GCP)

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... like AWS, GCP, Azure - Contributing to open-source projects or AI/ML publication Travel ...

Senior Backend Software Engineer, ObservoAI

OR · Remote

$122K - $161K/yr

... using advanced machine learning and LLMs. * Design cloud-native microservices and APIs that ... Extensive experience with cloud platforms (AWS, GCP, Azure), container orchestration (Kubernetes ...

OR

$114K - $137K/yr

... information across AWS cloud and on-prem environments. * Implementing systems engineering ... Experience with machine learning and generative AI models

DevOps Engineer, Cloud Platform

OR · On-site +1

$52.75 - $72.25/hr

... machine learning workloads. The team owns core platform components across Kubernetes (EKS), AWS infrastructure, service mesh, identity, and developer tooling, enabling reliability, scalability, and ...

Senior Forward Deployed Engineer (FDE)

OR · On-site +1

$104K - $143K/yr

... AI, machine learning, and other emerging AI technologies where appropriate. * Design secure ... Experience working with cloud platforms such as AWS, Microsoft Azure, Google Cloud Platform, or ...

Showing results 41-60

Aws Machine Learning information

See Oregon salary details

$10

$74

$101

How much do aws machine learning jobs pay per hour?

As of Jul 25, 2026, the average hourly pay for aws machine learning in Oregon is $74.07, according to ZipRecruiter salary data. Most workers in this role earn between $65.82 and $86.39 per hour, depending on experience, location, and employer.

What is an AWS Machine Learning job?

An AWS Machine Learning job involves designing, building, and deploying machine learning models using Amazon Web Services (AWS) cloud infrastructure. Professionals in this role work with services like Amazon SageMaker, AWS Lambda, and AWS Glue to develop AI-driven applications. They optimize models for scalability, integrate them into cloud-based systems, and ensure efficient data processing. Strong knowledge of machine learning algorithms, AWS architecture, and MLOps best practices is essential for success in this role.

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

To thrive as an AWS Machine Learning professional, you need a strong understanding of machine learning principles, proficiency in programming languages like Python, and experience with AWS cloud services such as SageMaker. AWS Certified Machine Learning certification and familiarity with data pipelines, EC2, and Lambda are commonly required. Strong problem-solving, communication, and teamwork skills help you translate business requirements into technical solutions and collaborate effectively with diverse stakeholders. These skills are essential to efficiently deploy and manage scalable machine learning models that deliver business value in cloud-based environments.

What are some typical responsibilities for someone working in an AWS Machine Learning role?

In an AWS Machine Learning position, you'll typically design, develop, and deploy machine learning models using AWS services like SageMaker, Glue, and Lambda. Daily tasks often include data preprocessing, building and training models, and optimizing performance for production environments. You'll collaborate closely with data engineers, software developers, and business analysts to translate business needs into technical solutions. The role may also involve monitoring deployed models, managing cloud resources, and staying updated on new AWS features to ensure efficient and scalable machine learning workflows.

What are the most commonly searched types of Aws Machine Learning jobs in Oregon? The most popular types of Aws Machine Learning jobs in Oregon are:
What are popular job titles related to Aws Machine Learning jobs in Oregon? For Aws Machine Learning jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Aws Machine Learning jobs in Oregon look for? The top searched job categories for Aws Machine Learning jobs in Oregon are:
What cities in Oregon are hiring for Aws Machine Learning jobs? Cities in Oregon with the most Aws Machine Learning job openings:
Infographic showing various Aws Machine Learning job openings in Oregon as of July 2026, with employment types broken down into 95% Full Time, 1% Part Time, and 4% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $154,073 per year, or $74.1 per hour.
Software Engineer Data/AI/Intelligent Systems I (Full Time) - United States

Software Engineer Data/AI/Intelligent Systems I (Full Time) - United States

Cisco

Hillsboro, OR

$124K - $149K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 23 days ago


Cisco Systems rating

8.0

Company rating: 8.0 out of 10

Based on 42 frontline employees who took The Breakroom Quiz

46th of 144 rated electronics manufacturers


Job description

Please note this posting is to advertise potential job opportunities. This exact role may not be open today but could open in the near future. When you apply, a Cisco representative may contact you directly if a relevant position opens.

Applications are accepted until further notice.


Meet the Team
Our dedicated team members are building the future of Cisco's AI-driven platforms and data infrastructure, supporting innovation across the globe. You will join teams focused on developing advanced data pipelines, machine learning infrastructure, and analytics platforms within business groups such as S&TO, Supply Chain, and Infrastructure Engineering. As part of this collaborative environment, you will contribute to the growth of emerging technologies in data and intelligent systems. Explore the opportunities at the intersection of data engineering and AI, helping to transform how Cisco and its customers harness information and intelligent automation.

Your Impact
You are a passionate software engineer withexpertisein developing scalable data pipelines, designing robust analytics platforms, and building infrastructure to support machine learning initiatives. Your strong background in programming, data systems, and collaboration enables you to solve complex challenges with innovation and attention to detail. By building andmaintainingkey software tools and platforms, you enable Cisco's business groups toleverageAI and data-driven insights for operational excellence and strategic growth. Your work ensures high-quality, reliable data infrastructure that supports Cisco's leadership in intelligent, scalable technology solutions.
Minimum Qualifications

  • Completion within the past 3 years, or current enrollment with expected completion within 12 months, of a certification or relevant degree program (e.g., Associate's, Apprenticeship, Boot Camp, or Certification in a specialized program + 1 year of relevant experience, High School Diploma + 2 years of relevant experience) or Bachelor's + 0 years of relevant experience.

  • Proficiencyin Python, with a strong understanding of fundamental data structures.

  • Hands-on experience with machine learning frameworks such as TensorFlow,PyTorch, or scikit-learn.

  • Familiarity with distributed data processing technologies, including Apache Spark, Hadoop (MapReduce), or Apache Flink.

  • Experience with containerization and orchestration tools, such as Docker and Kubernetes, for deploying data and machine learning workloads.

Preferred Qualifications

  • Hands-on experience with AI/ML.

  • Familiarity with major cloud platforms, such as AWS, Azure, or Google Cloud.

  • Understanding of distributed systems concepts, including scalability, reliability, fault tolerance, and data consistency, as well as familiarity with distributed computing patterns (e.g., load balancing, consensus algorithms, and inter-service communication).


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:

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:

$104,700.00 - $153,000.00

Non-Metro New York state & Washington state:

$92,100.00 - $136,000.00

* 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

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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