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Remote Machine Learning Engineer Jobs in Arizona

Senior Software Engineer (Remote)

Phoenix, AZ · Remote

$121K - $160K/yr

This is a remote role anywhere in the USA. Meet the Team Our software engineering team develops ... Familiarity with LLMs, AI agents, embeddings, or other machine-learning capabilities and their ...

Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ... Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.

Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ... Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.

... and software engineering. Identifies patterns and looks for opportunities for optimization ... A specialization in machine-learning, artificial intelligence, cognitive science or data science is ...

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Remote Machine Learning Engineer information

See Arizona salary details

$29.4K

$120K

$180.3K

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

As of Aug 21, 2026, the average yearly pay for remote machine learning engineer in Arizona is $119,998.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,600.00 and $144,400.00 per year, depending on experience, location, and employer.

What is a remote machine learning engineer?

A Remote Machine Learning Engineer designs, develops, and deploys machine learning models while working from a remote location. They preprocess data, train and optimize models, and integrate them into production systems. Their role often involves collaborating with data scientists, software engineers, and stakeholders to solve complex problems using AI. Strong programming skills in Python, experience with ML frameworks like TensorFlow or PyTorch, and cloud computing knowledge are essential. Remote ML engineers must also communicate effectively and manage their time efficiently to work asynchronously with teams.

What are the key skills and qualifications needed to thrive as a remote machine learning engineer?

To thrive as a Remote Machine Learning Engineer, you need a strong background in computer science, mathematics, and experience with machine learning algorithms, typically supported by a relevant degree and prior project work. Proficiency with programming languages like Python, machine learning frameworks such as TensorFlow or PyTorch, and familiarity with cloud computing platforms is crucial, and certifications like AWS Certified Machine Learning can enhance your profile. Excellent communication, self-motivation, and time-management skills are also essential for collaborating across remote teams and meeting project goals. These combined technical and soft skills are vital for developing effective machine learning solutions while ensuring productivity and collaboration in a virtual work environment.

What are some typical challenges faced by remote machine learning engineers, and how are they addressed?

Remote Machine Learning Engineers often face challenges such as coordinating across different time zones, ensuring smooth communication with team members, and accessing large datasets or secure environments remotely. Organizations commonly address these by using robust collaboration tools (like Slack, GitHub, and Jira), establishing clear documentation, and setting regular virtual meetings to maintain alignment. Many companies also provide secure remote environments or VPN access for handling sensitive data and code. Proactive communication and organized workflows help mitigate these challenges, enabling engineers to remain productive and connected to their teams.

Are remote machine learning engineers still in demand?

Remote machine learning engineers are currently in high demand due to the growth of AI and data-driven technologies across industries. Skills in programming, data analysis, and familiarity with tools like Python, TensorFlow, or PyTorch are highly sought after, and many companies continue to hire for remote roles in this field.

Can remote machine learning engineers work remotely?

Yes, remote machine learning engineers can work remotely, as many companies offer flexible work arrangements for this role. The position typically involves tasks such as data analysis, model development, and collaboration through online tools, making remote work feasible with strong communication skills and proficiency in programming languages like Python or frameworks like TensorFlow. However, some roles may require occasional on-site meetings or access to specialized hardware.

What are the most commonly searched types of Machine Learning Engineer jobs in Arizona?

The most popular types of Machine Learning Engineer jobs in Arizona are:

What cities in Arizona are hiring for Remote Machine Learning Engineer jobs?

Cities in Arizona with the most Remote Machine Learning Engineer job openings:

Infographic showing various Remote Machine Learning Engineer job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 20% Part Time, 2% Temporary, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $119,998 per year, or $57.7 per hour.

Senior Software Engineer (Remote)

Cisco

Phoenix, AZ • Remote

$121K - $160K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago


Cisco Systems rating

8.0

Company rating: 8.0 out of 10

Based on 42 frontline employees who took The Breakroom Quiz

59th of 159 rated electronics manufacturers


Job description

The application window is expected to close on: 10/26/2026

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

This is a remote role anywhere in the USA.

Meet the Team

Our software engineering team develops software using Cisco's Design Thinking Principles, with simplification and Security at its core. We use secure coding practices, protect user privacy, and follow software development best practices. We are looking for an experienced engineer who enjoys solving complex security problems through automation, scalable software, and strong engineering practices!

We partner closely with Design, Product Management, and other teams to create solutions for our customers. Together, we bring new insights to product innovation and continuously improve how we build software for our customers!

Your Impact

In this role, you will design and develop high-quality software and help bring features from technical design through delivery. You will create technical design documentation for the team and contribute to user documentation for end users.

You will troubleshoot and resolve software issues during development and in production. You will collaborate across teams, share technical knowledge with other engineers, and help improve the quality, scalability, security, and reliability of our software.

Responsibilities
  • Improve the software development lifecycle and advance best practices in agile engineering.

  • Lead the design and delivery of high-quality security features that improve our products and services.

  • Design and develop production software and services using technologies such as Golang and Python, including APIs and services built with frameworks such as Flask or FastAPI.

  • Build and operate scalable cloud-native applications and infrastructure using technologies such as Kubernetes, Helm, AWS, and Terraform.

  • Work with data technologies such as PostgreSQL, MySQL, and Redis to support reliable, scalable production systems.

  • Contribute to web-based applications and user experiences using technologies such as React and NextJS, where applicable.

  • Support automated build, test, and deployment workflows using GitLab CI, GitHub Workflows, or similar CI/CD technologies.

  • Identify opportunities for products to work together and create greater value for customers.

  • Consider market needs, product adoption, and competition when making design decisions and tracking related metrics.

  • Review and test code to identify problems and improve scalability, speed, and reliability.

  • Develop technical design documentation for the team and contribute to user documentation for end users.

  • Resolve errors, monitor production systems, identify risks, and escalate issues when needed. You may also support on-call escalations.

  • Collaborate with cross-functional teams to capture requirements, estimate timelines, track milestones, and deliver projects that meet user requirements.

  • Share knowledge across teams through presentations, documentation, blogs, newsletters, and other forums.

Minimum Qualifications
  • Bachelor's degree with 5+ years of related experience, Master's degree with 3+ years of related experience, or PhD with 1+ year of related experience.

  • Experience developing production software, including writing clean, functional code and unit tests.

  • Experience troubleshooting and resolving software issues in development and production environments.

  • Experience with code reviews, testing, and software engineering practices focused on scalability, reliability, and quality.

  • Experience creating technical designs and leading software features from design through delivery.

Preferred Qualifications
  • Background leading software projects or features through implementation, testing, and delivery, and preferably experience building security products or developer-facing security tooling.

  • Knowledge of production monitoring, incident response, postmortems, and root cause analysis.

  • Familiarity with secure software development practices, threat modeling, vulnerability analysis, and vulnerability management tools and processes.

  • Ability to use AI/ML or generative AI to solve security problems, such as automated threat detection, alert triage, security investigation, anomaly detection, or security workflow automation.

  • Familiarity with LLMs, AI agents, embeddings, or other machine-learning capabilities and their integration with production systems.

  • Experience with Golang or Python and familiarity with frameworks such as Flask or FastAPI.

  • Familiarity with cloud-native infrastructure and deployment technologies such as Kubernetes, Helm, AWS, and Terraform.

  • Experience with PostgreSQL, MySQL, Redis, or similar databases and data stores.

  • Familiarity with React, NextJS, or similar modern web technologies, and GitLab CI, GitHub Workflows, or similar CI/CD tooling.

  • Proven collaboration with Product Management, Design, Security, and engineering teams, with the ability to mentor engineers, share technical knowledge, and contribute to software engineering roadmaps and capabilities across products.

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 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:

$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.


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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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