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Machine Learning Engineer Jobs in Tucson, AZ (NOW HIRING)

Implement solutions in machine language, assembly, and high-level languages (C, C++). * Testing ... Continuous Learning & Improvement: * Apply company policies, procedures, and engineering standards ...

Linear Algebra Tutor

Tucson, AZ · Remote

$18 - $40/hr

... data science, engineering, and advanced mathematics. * Conceptual Teaching & Problem-Solving ... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction:

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... transfer, machine design, manufacturing processes, and control systems. Ability to explain free ...

Evaluates field installations and recommends design modifications to eliminate machine or system ... Update knowledge continuously on product drawing standards through learning and sharing. What we ...

Evaluates field installations and recommends design modifications to eliminate machine or system ... Update knowledge continuously on product drawing standards through learning and sharing. What we ...

Evaluates field installations and recommends design modifications to eliminate machine or system ... Update knowledge continuously on product drawing standards through learning and sharing. What we ...

Evaluates field installations and recommends design modifications to eliminate machine or system ... Update knowledge continuously on product drawing standards through learning and sharing. What we ...

Mechanical Engineer

Tucson, AZ · On-site

$90K - $115K/yr

Comfortable working in a hands-on general machine shop environment * Proficient in using standard ... Possesses intellectual curiosity and a strong desire for continuous learning. * Skilled and ...

Statics Tutor

Tucson, AZ · Remote

$18 - $40/hr

... machine design, and construction engineering. * Curriculum Awareness & Adaptive Instruction ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

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Machine Learning Engineer information

See Tucson, AZ salary details

$29.3K

$119.6K

$179.7K

How much do machine learning engineer jobs pay per year?

As of Jul 21, 2026, the average yearly pay for machine learning engineer in Tucson, AZ is $119,569.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,200.00 and $143,900.00 per year, depending on experience, location, and employer.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-demand industries or companies can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially in tech giants or startups with significant funding.

What do machine learning engineers do?

Machine learning engineers develop algorithms and models that enable computers to learn from data and make predictions or decisions. They often work with large datasets, use programming languages like Python or Java, and utilize tools such as TensorFlow or PyTorch to build, test, and deploy machine learning systems in production environments.

What are Machine Learning Engineers?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

Which 5 jobs will survive AI?

Machine Learning Engineers are likely to continue to be in demand as AI advances, as they develop and refine algorithms, models, and systems. Roles that require complex problem-solving, creativity, and domain expertise—such as healthcare professionals, data scientists, software developers, cybersecurity specialists, and AI ethics officers—are also expected to persist due to their reliance on human judgment and specialized knowledge. These jobs often involve skills that are difficult for AI to fully replicate or replace.

What Does a Machine Learning Engineer Do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

What engineers make $300,000 a year?

Senior machine learning engineers and data scientists with extensive experience, advanced skills in deep learning, and proficiency with tools like TensorFlow or PyTorch can earn $300,000 or more annually, especially in high-cost-of-living areas or top tech companies. Compensation often includes base salary, bonuses, and stock options, reflecting their expertise and impact on business outcomes.

What are some common challenges faced by Machine Learning Engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

What is the difference between Machine Learning Engineer vs Data Scientist?

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

What are the most commonly searched types of Machine Learning Engineer jobs in Tucson, AZ? The most popular types of Machine Learning Engineer jobs in Tucson, AZ are:
What are popular job titles related to Machine Learning Engineer jobs in Tucson, AZ? For Machine Learning Engineer jobs in Tucson, AZ, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer jobs in Tucson, AZ look for? The top searched job categories for Machine Learning Engineer jobs in Tucson, AZ are:
What cities near Tucson, AZ are hiring for Machine Learning Engineer jobs? Cities near Tucson, AZ with the most Machine Learning Engineer job openings:
Infographic showing various Machine Learning Engineer job openings in Tucson, AZ as of July 2026, with employment types broken down into 84% Full Time, 8% Part Time, and 8% Contract. Highlights an 85% In-person, and 15% Remote job distribution, with an average salary of $119,569 per year, or $57.5 per hour.
Firmware Engineer

$80K - $100K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 14 days ago


Job description

Are you looking for an opportunity to make a difference? At Mesa Labs we’re passionate about protecting the vulnerable by enabling scientific breakthroughs, ensuring product integrity, increasing patient and worker safety, and improving quality of life around the world.

At Mesa Labs we offer competitive wages, including potential bonus opportunities, equity awards, commission, and a comprehensive benefits package based on the position.

Base Compensation Range: $80,000 - $100,000
*In addition, you qualify for:

  • Annual bonus opportunity of 10% based on company performance 

Outstanding Benefits and Perks
We are proud to offer a variety of benefits that meet the diverse needs of our employees:

  • Eligible for benefits the first day of the month after you start
  • Tiered Medical, Dental and Vision Insurance options, Health savings (HSA), healthcare & dependent care flexible spending (FSA) accounts
  • Company paid short term and long-term disability (unless covered by a state disability plan)
  • Company paid life insurance and AD&D
  • Flexible Time Off Policy
  • Paid sick leave of 48 hours per calendar year
  • Eligible employees may receive four (4) weeks paid Care Giver leave after 1 year of service or in accordance with state leave laws
  • 401(k) plan that provides a 4% Safe Harbor company match on a 4% employee contribution that begins on Day 1
  • Employee Wellness and Financial Assistance Resources through Cigna and NY Life
  • Nine (9) paid company holidays per year

Gyros Protein Technologies provides automated systems for protein analysis and peptide synthesis solutions that accelerate the discovery, development, and manufacture of biotherapeutic drugs.

Job Summary

The Firmware Engineer develops professional expertise in designing, programming, debugging, and modifying firmware for embedded systems. This role supports hardware and software integration, working with analog and digital systems to ensure reliable and efficient operation. With a foundation in programming languages such as C, C++, assembly, and machine language, the Firmware Engineer contributes to troubleshooting, testing, and refining embedded code under guidance, while growing technical independence.

Duties/Responsibilities

  • Firmware Development & Programming:
    • Design, code, debug, and maintain firmware for embedded systems.
    • Implement solutions in machine language, assembly, and high-level languages (C, C++).
  • Testing & Troubleshooting:
    • Troubleshoot, debug, and optimize embedded code for functionality, performance, and reliability.
    • Assist in resolving software and hardware integration issues.
  • Hardware & Software Integration:
    • Work with analog and digital hardware designs, ensuring firmware compatibility.
    • Support operating system-level software interaction with embedded hardware.
  • Collaboration:
    • Partner with hardware, electrical, and systems engineers on design reviews and integration efforts.
    • Document and communicate issues, fixes, and improvements to cross-functional teams.
  • Continuous Learning & Improvement:
    • Apply company policies, procedures, and engineering standards while gaining exposure to advanced concepts.
    • Contribute to process improvements and the creation of best practices for firmware development.

Experience/Education

  • Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field.
  • 2 years of firmware, software, or embedded systems engineering experience.

Knowledge and Skillsets Required

  • Proficiency in programming languages such as C, C++, assembly, and machine language.
  • Understanding of embedded systems, operating systems, and microcontroller architectures.
  • Exposure to hardware design concepts, both analog and digital.
  • Strong problem-solving and analytical abilities.
  • Effective communication and teamwork skills.
Additional Desired Skills/Competencies:
 
The ideal Firmware Engineer candidate will have demonstrated proficiency in the following areas:
 
  • Communication protocols such as I2C, SPI, and UART and wireless protocols such as Bluetooth and TCP/IP
  • Interfaces such as serial RS-232 and RS-485, USB, Ethernet
  • ESP32 and PIC microcontrollers
  • Version control systems, especially GitLab
  • Basic PCB design skills and familiarity with associated design tools, especially Altium or KinCAD

Physical Demands:

  • Sitting: Often for extended periods at desks or meetings. 
  • Standing or walking: Occasionally for meetings or office tasks. 
  • Using computers: Typing and using office equipment. 
  • Lifting: Light, less than 10 pounds. 
  • Repetitive motions: Frequent use of keyboard and mouse. 

Environmental Conditions:

  • Workspace: Climate control (air conditioning or heating) to ensure comfort.
  • Lighting: Adjustable lighting to reduce eye strain.
  • Noise Levels: The noise level is moderate, with occasional interruptions from phone calls and conversations. Use non-canceling headphones if necessary.
  • Ergonomics: Workstations with desk and adjustable chairs to support good postures.
  • Ventilation: Good ventilation to ensure a comfortable working environment, though this can vary depending on the building. 

Mesa Labs is an Equal Employment Opportunity Employer.

Mesa Labs prohibits unlawful discrimination and harassment against applicants or employees based on age, race, sex, color, religion, creed, national origin or ancestry, disability, military status, sexual orientation, or any other status protected by applicable state or local law.  Please note that Mesa Labs conducts criminal background checks upon offer acceptance