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Senior Machine Learning Engineer Jobs in Tucson, AZ

Senior Engineer-Validation

Tucson, AZ · On-site

$113 - $169/hr

## Senior Engineer-ValidationApplylocations: Green Valley, Arizona: Tucson, Arizonatime type: Full ... Hydraulic Mining Shovels (HMS)** by ensuring our machines deliver world-class performance ...

New

As a Digital Factory developer, you will be a key contributor to design, development, integration ... AI, machine learning, ISA-95, Pub/Sub. * Experience with data analytics with skills that ...

OT Sr Digital Factory Engineer III

Tucson, AZ · On-site

$86.80 - $165.20/hr

As a Digital Factory developer, you will be a key contributor to design, development, integration ... machine learning, ISA-95, Pub/Sub. Experience with data analytics with skills that demonstrate the ...

New

As a Senior Engineer - Validation at Caterpillar , you will play a key role in shaping the future of Hydraulic Mining Shovels (HMS) by ensuring our machines deliver world-class performance ...

Demonstrated experience with signal processing, image processing, computer vision, or machine learning * Experience programming in Python, C, C++, MATLAB or similar languages * Intellectual curiosity ...

New

Showing results 21-40

Senior Machine Learning Engineer information

See Tucson, AZ salary details

$51.2K

$108.8K

$157.8K

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

As of Aug 19, 2026, the average yearly pay for senior machine learning engineer in Tucson, AZ is $108,800.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,800.00 and $123,400.00 per year, depending on experience, location, and employer.

What does a senior machine learning engineer do?

A Senior Machine Learning Engineer designs, develops, and implements machine learning models to solve complex problems. They are responsible for selecting appropriate algorithms, preprocessing data, and optimizing model performance. Additionally, they collaborate with data scientists, software engineers, and product teams to integrate machine learning solutions into production systems. Senior engineers also mentor junior team members and contribute to setting technical direction for machine learning projects.

What are some common challenges senior machine learning engineers face when deploying models to production, and how can they be addressed?

Senior Machine Learning Engineers often encounter challenges related to model scalability, maintaining performance in real-world scenarios, and ensuring reliable integration with existing systems. Addressing these challenges typically involves thorough testing, implementing robust monitoring for model drift, and collaborating closely with DevOps and software engineering teams to streamline deployment pipelines. Staying updated on best practices in MLOps and adopting tools for automated deployment and monitoring can greatly improve the reliability and efficiency of production models.

What are the key skills and qualifications needed to thrive as a senior machine learning engineer, and why are they important?

To thrive as a Senior Machine Learning Engineer, you need advanced knowledge of machine learning algorithms, statistical modeling, and programming languages like Python or Java, typically supported by a degree in computer science or a related field. Experience with frameworks and tools such as TensorFlow, PyTorch, scikit-learn, and cloud platforms, as well as familiarity with version control and CI/CD systems, is essential. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior team members. These capabilities are crucial for designing scalable ML solutions and driving impactful results within complex, dynamic projects.

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

AspectSenior Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models in production systemsAnalyzes data, builds models, and provides insights
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

While both roles require strong technical skills and knowledge of machine learning, Senior Machine Learning Engineers focus more on deploying scalable ML solutions in production environments, whereas Data Scientists primarily analyze data and develop models for 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 Senior Machine Learning Engineer jobs in Tucson, AZ?

For Senior Machine Learning Engineer jobs in Tucson, AZ, the most frequently searched job titles are:

What job categories do people searching Senior Machine Learning Engineer jobs in Tucson, AZ look for?

The top searched job categories for Senior Machine Learning Engineer jobs in Tucson, AZ are:

What cities near Tucson, AZ are hiring for Senior Machine Learning Engineer jobs?

Cities near Tucson, AZ with the most Senior Machine Learning Engineer job openings:

Infographic showing various Senior Machine Learning Engineer job openings in Tucson, AZ as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 22% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $108,800 per year, or $52.3 per hour.

Senior Systems Engineer II/Principal (EO/IR Image Analysis)

Rocket Lab Corporation

Tucson, AZ • On-site

Full-time

Posted 21 days ago


Rocket Lab rating

9.2

Company rating: 9.2 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

4th of 72 rated aerospace companies


Job description

ABOUT ROCKET LAB
Rocket Lab is an end-to-end space company delivering responsive launch services, complete spacecraft design and manufacturing, payloads, satellite components, and more - all with the goal of opening access to space. The rockets and satellites we build and launch enable some of the most ambitious and vital space missions globally, supporting scientific exploration, Earth observation and missions to combat climate change, national security, and exciting new technology demonstrations.
Our Electron rocket has become the second most frequently launched U.S. rocket annually and has delivered more than 230 satellites to orbit, all while we work to develop Neutron, our upcoming medium-lift, reusable launch vehicle for larger constellation deployment. Our Space Systems business designs and builds our extensive line of satellites, payloads, and their components, including spacecraft that have been selected to support NASA missions to the Moon and Mars and components used on the James Webb Space Telescope.
SPACE SYSTEMS
At Rocket Lab, we're not just launching rockets - we're building the future of space. Our Space Systems team builds everything from complete spacecraft and precision payloads to the components and subsystems that allow them to thrive in space, including solar panels, flight software, star trackers, optical systems, separation systems, radios, and more.
Our Space Systems team has enabled more than 1,700 missions, ranging from interplanetary exploration and in-space manufacturing to national security and defense initiatives. The team has built spacecraft, payloads, and components for missions to the Moon and Mars, working with partners including NASA, the Space Development Agency, and the U.S. Space Force. Whether it's a single high-performance spacecraft, constellation, or vertically integrated components that help missions get to space, our world-class Space Systems team is empowering some of the boldest and most ambitious space missions.
SENIOR/PRINCIPAL SYSTEMS ENGINEER (EO/IR) - SECRET CLEARANCE
Rocket Labs Optical Systems division solves mission-critical space domain and Intelligence, Surveillance, and Reconnaissance (ISR) challenges for Department of Defense (DoD) and Intelligence Community (IC) customers. Our vision is to revolutionize the space-based payload market with innovative and novel designs for space, terrestrial, and airborne environments. Building on more than 20 years of electro-optical and infrared systems innovation from Geost, Optical Systems delivers solutions to the warfighter for responsive, scalable sensing solutions across all orbital domains.
As a Senior/Principal Systems Engineer (EO/IR) based at our Optical Systems site in Tucson, AZ, you will work closely with design and systems engineering team members to provide quantitative technical guidance, requirements decomposition, modeling and simulation, algorithm assessment, and EO/IR sensor performance evaluation. Join a driven team of pioneers relentlessly tackling challenging projects, delivering on the impossible, and making an impact on the future of space!
(Please note: this position can be hired at the Senior Systems Engineer II or Principal Systems Engineer level)
WHAT YOU'LL GET TO DO:
  • Collaborate with researchers on projects related to machine learning, artificial intelligence, and computer vision
  • Perform rapid prototyping and enhanced development to support integration into operational systems
  • Develop and modify simulations for the design, prototyping, integration, testing, and performance assessment of EO/IR sensor hardware and algorithms
  • Contribute strong programming ability and technical judgment to develop robust solutions for real-world mission problems
  • Validate, optimize, and deploy advanced exploitation algorithms, including algorithm design, implementation, analysis, testing, and optimization
  • Guide and author data collection, analysis, and performance assessment software
  • Decompose high-level customer requirements into EO/IR subsystem requirements to inform hardware, software, firmware, and systems engineering execution
  • Collaborate closely with firmware development, electronics interface control, hardware engineering, software engineering, and systems engineering teams
  • Design calibration and characterization experiments for EO/IR sensors, sensor models, and supporting test equipment
  • Participate in engineering lab environments to test, verify, and validate sensor models and EO/IR sensor performance in accordance with requirements
  • Use excellent investigative and troubleshooting skills to assess issues and develop resolutions in the lab and in the field
  • Work proactively to complete tasks with little direction
  • Communicate effectively with project management, customers, and team members across disciplines
  • Attend technical interchange meetings with team members and other project personnel, and represent the organization in matters pertaining to project development
  • Provide status on assigned tasks and program schedules
  • Review documents and resolve technical engineering and integration issues
  • Manage time and resources in order to meet assigned deadlines
  • Support travel or off-site work, as needed
  • Perform other duties as assigned

YOU'LL BRING THESE QUALIFICATIONS AS SENIOR SYSTEMS ENGINEER II (EO/IR):
  • Bachelor's degree in physics, optical sciences, science, or other technical discipline
  • Active Secret/Top Secret clearance with SCI eligibility
  • U.S. citizenship is required, due to program requirements
  • 8+ years of professional experience
  • Experience with Python and/or MATLAB for analysis, modeling, simulation, or algorithm development
  • Experience with algorithm design, implementation, analysis, testing, and optimization
  • Ability to contribute to the completion of program and project milestones

YOU'LL BRING THESE QUALIFICATIONS AS PRINCIPAL SYSTEMS ENGINEER (EO/IR):
  • Bachelor's degree in physics, optical sciences, science, or other technical discipline
  • Active Secret/Top Secret clearance with SCI eligibility
  • U.S. citizenship is required, due to program requirements
  • 12+ years of professional experience
  • Experience with Python and/or MATLAB for analysis, modeling, simulation, or algorithm development
  • Experience with algorithm design, implementation, analysis, testing, and optimization
  • Ability to contribute to the completion of program and project milestones

THESE QUALIFICATIONS WOULD BE NICE TO HAVE:
  • Master's degree or PhD in Physics, optical sciences, science, or another technical discipline
  • Hands-on expertise with electro-optical systems, infrared imaging systems, light sources, military systems, and/or space payloads
  • Working knowledge of MATLAB, Python, and C++ computer languages, including computer interfacing techniques
  • Knowledge of optical design and analysis tools such as Zemax, Code V, and FRED
  • Expertise in modeling and simulation, including multiple EO/IR phenomenologies
  • Subject matter expertise using MATLAB or Python for analysis of complex data sets
  • Experience with space systems applications supporting customer programs
  • Experience briefing analysis results to technical and non-technical government customers
  • Experience across all phases of product development, including proposal design architectures, requirements generation, design development, integration, verification, and transition to production
  • Experience managing or leading others in a technical and/or functional capacity within an engineering environment
  • Excellent communication and documentation skills
  • Experience in a dynamic and high-visibility role
  • Team player incorporating a team-based success philosophy

This position may require prolonged periods of sitting, standing, walking, computer work, and occasional exposure to moderate levels of noise, dust, and fumes in production areas.
WHAT TO EXPECT
We're on a mission to unlock the potential of space to improve life on Earth, but that's not an easy task. It takes hard work, determination, relentless innovation, teamwork, grit, and an unwavering commitment to achieving what others often deem impossible. Our people out-think, out-work, and out-pace. We pride ourselves on having each other's backs, checking our egos at the door, and rolling up our sleeves on all tasks big and small. We thrive under pressure, work to tight deadlines, and our focus is always on how we can deliver, rather than dwelling on the challenges that stand in the way.
Important information:
FOR CANDIDATES SEEKING TO WORK IN US OFFICES ONLY:
To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR), Rocket Lab Employees must be a U.S. citizen, lawful U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum, or be eligible to obtain the required authorizations from the U.S. Department of State and/or the U.S. Department of Commerce, as applicable. Learn more about ITAR here.
Rocket Lab provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment at Rocket Lab, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
Applicants requiring a reasonable accommodation for the application/interview process for a job in the United States should contact Giulia Johnson at g.biow@rocketlabusa.com.This dedicated resource is intended solely to assist job seekers with disabilities whose disability prevents them from being able to apply/interview. Only messages left for this purpose will be considered. A response to your request may take up to two business days.
FOR CANDIDATES SEEKING TO WORK IN NEW ZEALAND OFFICES ONLY:
For security reasons, background checks will be undertaken prior to any employment offers being made to an applicant. These checks will include nationality checks as it is a requirement of this position that you be eligible to access equipment and data regulated by the United States' International Traffic in Arms Regulations.
Under these Regulations, you may be ineligible for this role if you do not hold citizenship of Australia, Japan, New Zealand, Switzerland, the European Union, or a country that is part of NATO, or if you hold ineligible dual citizenship or nationality. For more information on these Regulations, click here ITAR Regulations.

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