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Senior Machine Learning Software Engineer Jobs in Tucson, AZ

* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...

* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...

Senior Software Engineer II

Tucson, AZ · On-site

$115K - $152K/yr

SENIOR SOFTWARE ENGINEER II Rocket Lab Optical Systems solves mission-critical space domain and Intelligence, Surveillance, and Reconnaissance challenges for Department of Defense and Intelligence ...

... in software engineering, artificial intelligence, machine learning, or related fields, including experience serving as a Principal Engineer, AI Technical Lead, Architect, or equivalent senior ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Sr. Software Engineer

Tucson, AZ · On-site

$229K - $280K/yr

What are the primary responsibilities in the Sr. Software Engineer position? * Responsible for overseeing the expanded development of an existing C++, Python, and Next.js React program with new ...

Your teams will work across artificial intelligence and machine learning, software, systems ... Represent Engineering with senior leadership and translate complex technical topics into clear ...

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Senior Machine Learning Software Engineer information

See Tucson, AZ salary details

$71.4K

$135.5K

$181.5K

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

As of Sep 14, 2026, the average yearly pay for senior machine learning software engineer in Tucson, AZ is $135,479.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,800.00 and $152,700.00 per year, depending on experience, location, and employer.

What is a senior machine learning software engineer?

A Senior Machine Learning Software Engineer is an experienced professional who designs, develops, and deploys machine learning models and systems to solve complex problems. They work closely with data scientists, engineers, and other stakeholders to build scalable and efficient solutions that leverage large data sets and advanced algorithms. Their responsibilities often include architecting ML pipelines, optimizing model performance, and mentoring junior team members. Typically, they have a strong background in computer science, programming, and applied mathematics, along with several years of hands-on experience in machine learning and software engineering.

What are some common challenges senior machine learning software engineers face when deploying models to production?

Senior Machine Learning Software Engineers often encounter challenges such as ensuring model scalability, maintaining performance under real-world data conditions, and integrating models seamlessly with existing systems. Handling data drift and monitoring model predictions for accuracy over time are also critical responsibilities. Collaboration with data engineers, DevOps, and product teams is essential to address these challenges and ensure robust, reliable deployments.

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

A Senior Machine Learning Software Engineer requires deep expertise in machine learning algorithms, statistical analysis, and strong programming skills in languages like Python or Java, typically supported by a degree in computer science or a related field. Familiarity with frameworks such as TensorFlow, PyTorch, scikit-learn, as well as experience with cloud platforms and version control systems, is standard. Exceptional problem-solving, leadership, and communication skills help drive project success and mentor junior engineers. These competencies are crucial for designing scalable ML solutions, ensuring code quality, and effectively collaborating within cross-functional teams.

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

AspectSenior Machine Learning Software EngineerData Scientist
CredentialsBachelor's or Master's in CS, ML, or related; experience with ML frameworksBachelor's or Master's in Data Science, Statistics, or related; strong analytical skills
Work EnvironmentDevelops ML models, integrates algorithms into products, collaborates with engineering teamsAnalyzes data, builds statistical models, visualizes insights, collaborates with business teams
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, healthcare

While both roles involve working with data and algorithms, Senior Machine Learning Software Engineers focus on developing and deploying scalable ML models within software systems, whereas Data Scientists primarily analyze data to generate insights and inform business decisions.

What are the most commonly searched types of Machine Learning Software Engineer jobs in Tucson, AZ?

The most popular types of Machine Learning Software Engineer jobs in Tucson, AZ are:

What are popular job titles related to Senior Machine Learning Software Engineer jobs in Tucson, AZ?

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

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

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

Infographic showing various Senior Machine Learning Software Engineer job openings in Tucson, AZ as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 74% Full Time, 21% Part Time, and 3% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $135,479 per year, or $65.1 per hour.

Software Engineer TS/SCI with Security Clearance

Tucson, AZ • On-site

Other

Re-posted 3 hours ago


Job description

Location: Tucson, AZ Security Clearance: TS/SSBI/SCI We are seeking Software Engineers with Top Secret Clearances to create cutting edge signal processing, geolocation, and communication systems solutions to challenging national security and defense problems. You will work in a multi-disciplinary R&D environment with similarly skilled and motivated electrical engineers, mathematicians, and computer scientists/engineers in a highly rewarding personal and professional environment. The primary responsibilities for the Software Engineer position are: Core responsibilities include designing real-time processing solutions, implementing advanced signal processing and geolocation algorithms in efficient software, testing with real data, and deploying to front-line customer facilities. You also create effective user interfaces and data visualization tools. A key responsibility is mastering and evolving framework capabilities as applications migrate to a cloud-based computing environment. Our personnel can expect to work across all functional areas: systems engineering, development, integration and test, deployment and O&M, and experience the direct mission feedback from the customer and seeing your project provide real-world contributions that make a significant difference. Required: • Degree (Bachelor’s, Master’s, or PhD) in Computer Engineering or Computer Science • Competent in using C/C++/Python for engineering or scientific applications in the Linux environment • Facility with agile software development practices at all stages of the software life cycle • Good speaking skills with the ability to interact with customers and senior engineers • Able to assist in creation of cutting-edge solutions for customer issues • TS/SCI security clearance Technical Interest Areas • High Performance Computing including parallel and distributed computation • Numerical algorithms • GPU acceleration using CUDA • Machine learning • Virtualization and Cloud computing • Visualization of large engineering data • HTML5 for real-time GUI engineering applications