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Machine Learning Biomedical Engineer Jobs in Tucson, AZ

Rocket Lab Corporation

Machine Learning Engineer II

Tucson, AZ · On-site

$92K - $126K/yr

MACHINE LEARNING ENGINEER II Rocket Lab's Optical Systems division solves mission-critical space domain and Intelligence, Surveillance, and Reconnaissance (ISR) challenges for Department of Defense ...

Bespoke Labs

Machine Learning Engineer

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 ...

Bespoke Labs

Machine Learning Engineer

Tucson, AZ · On-site

* 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 ...

Varsity Tutors

Biomedical Engineering Tutor

Tucson, AZ · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Biomedical Engineering tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have ...

Varsity Tutors

Machine Learning Tutor

Tucson, AZ · Remote

$18 - $40/hr

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

Teaching with Telescopes

Principal AI Engineer

Tucson, AZ · On-site

$200 - $250/hr

Apply machine learning, statistical modeling, and AI techniques to large-scale scientific datasets ... Mentor engineers, scientists, and technical teams in AI technologies, architecture, and responsible ...

Rubin Obs

Principal AI Engineer

Tucson, AZ · On-site

$200 - $250/hr

Apply machine learning, statistical modeling, and AI techniques to large-scale scientific datasets ... Mentor engineers, scientists, and technical teams in AI technologies, architecture, and responsible ...

University of Arizona

Scientific Analyst II

Tucson, AZ · On-site

... of machine learning and AI-driven analytical pipelines to analyze large-scale biomedical datasets ... Expert-level programming skills in Python and/or R; proficiency with ML libraries (scikit-learn ...

NOAO

Principal AI Engineer

Tucson, AZ · On-site

Apply machine learning, statistical modeling, and AI techniques to large-scale scientific datasets ... Mentor engineers, scientists, and technical teams in AI technologies, architecture, and responsible ...

NSF's NOIRLab

Principal AI Engineer

Tucson, AZ · On-site

$179K - $226K/yr

Apply machine learning, statistical modeling, and AI techniques to large-scale scientific datasets ... Mentor engineers, scientists, and technical teams in AI technologies, architecture, and responsible ...

AURA

Principal AI Engineer

Tucson, AZ · On-site

$179K - $226K/yr

Apply machine learning, statistical modeling, and AI techniques to large-scale scientific datasets ... Mentor engineers, scientists, and technical teams in AI technologies, architecture, and responsible ...

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All JobsMachine Learning Biomedical Engineer JobsMachine Learning Biomedical Engineer Jobs in Tucson, AZ

Machine Learning Biomedical Engineer information

See Tucson, AZ salary details

$29.8K

$121.7K

$182.9K

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

As of Sep 8, 2026, the average yearly pay for machine learning biomedical engineer in Tucson, AZ is $121,748.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,000.00 and $146,500.00 per year, depending on experience, location, and employer.

What does a machine learning biomedical engineer do?

A Machine Learning Biomedical Engineer applies machine learning techniques to solve problems in biology and medicine. They develop algorithms and models to analyze complex biomedical data, such as medical images, genetic information, or sensor readings. Their work supports advancements in diagnostics, treatment planning, and personalized medicine. Typically, they collaborate with clinicians, researchers, and other engineers to design systems that improve healthcare outcomes.

How does a machine learning biomedical engineer typically collaborate with clinicians and researchers in a healthcare setting?

Machine Learning Biomedical Engineers often work closely with clinicians and researchers to develop algorithms that solve real-world medical challenges. Collaboration usually involves understanding clinical needs, translating them into technical requirements, and iteratively refining models based on feedback from medical experts. Regular meetings, interdisciplinary project teams, and direct participation in data collection or validation studies are common. This collaborative environment ensures that technical solutions are both innovative and clinically relevant, making communication and adaptability essential skills.

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

To thrive as a Machine Learning Biomedical Engineer, you need a strong background in biomedical engineering, data analysis, and machine learning, typically supported by a degree in biomedical engineering, computer science, or a related field. Familiarity with programming languages like Python or R, machine learning frameworks (e.g., TensorFlow, PyTorch), and experience with medical imaging or signal processing tools are commonly required. Critical thinking, problem-solving, and the ability to communicate complex technical concepts to interdisciplinary teams are vital soft skills. These abilities are crucial for developing innovative healthcare solutions, ensuring regulatory compliance, and bridging the gap between technology and medicine.

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

AspectMachine Learning Biomedical EngineerData Scientist in Biomedical Industry
Required CredentialsDegree in Biomedical Engineering, Computer Science, or related fields; knowledge of machine learning and biomedical dataDegree in Data Science, Statistics, or related fields; proficiency in data analysis and machine learning
Work EnvironmentResearch labs, healthcare institutions, biotech companiesHealthcare analytics firms, research institutions, biotech companies
Employer & Industry UsageDevelops algorithms for medical devices, diagnostics, and treatment planningAnalyzes biomedical data to inform clinical decisions, research, and product development

Both roles require expertise in machine learning and biomedical data, but Machine Learning Biomedical Engineers focus on developing algorithms for medical applications, while Data Scientists analyze biomedical data to support research and clinical decisions.

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

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

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

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

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

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

Machine Learning Biomedical Engineer jobs near you
Infographic showing various Machine Learning Biomedical Engineer job openings in Tucson, AZ as of July 2026, with employment types broken down into 2% Internship, 1% As Needed, 80% Full Time, 16% Part Time, and 1% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $121,748 per year, or $58.5 per hour.

Machine Learning Engineer II

Tucson, AZ • On-site

Rocket Lab Corporation
Aerospace Product and Parts Manufacturing • 201 - 500 employees
Learn more about Rocket Lab Corporationexternal

$92K - $126K/yr

Full-time

Posted 19 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

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, precision payloads to the components and subsystems that allow them to thrive in space, like 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, 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 the vertically integrated components that help them get to space - our world class Space Systems team is empowering some of the boldest and most ambitious space missions.

MACHINE LEARNING ENGINEER II

Rocket Lab's 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, Optical Systems delivers solutions to the warfighter for responsive, scalable sensing solutions across all orbital domains.

As a Machine Learning Engineer II based at our Optical Systems sites in Tucson, AZ, you will have the opportunity to support Tranche 3 of the U.S. Space Development Agency's (SDA) Proliferated Warfighter Space Architecture (PWSA) and beyond by building deep learning neural networks for advanced Electro-Optical (EO/IR) image processing.

WHAT YOU'LL DO

  • Contribute your experience to developing solutions for real-world problems.
  • Design, train, and deploy machine learning models for Optical Systems applications
  • Build and maintain ML pipelines for data ingestion, feature engineering, training, and inference.
  • Collaborate with other researchers/engineers on artificial intelligence, machine learning, and computer vision.
  • Preform rapid prototyping and enhanced development to be integrated into operational systems.
  • Perform troubleshooting, bug fixes, and maintenance of existing and new systems.
  • Stay current with ML research and evaluate new tools, frameworks, and techniques

 WHAT WE'RE LOOKING FOR IN A SENIOR MACHINE LEARNING ENGINEER I:

  • Bachelor's degree and 2+ years of experience, master's degree or a Ph.D. in Computer Science, Electrical and Computer Engineering, Mechanical Engineering, Physics, or related field
  • Strong background in machine learning including model selection, architecting, training, validation, testing, and deployment
  • Experience in building deep learning neural network for computer vision, image processing, or video analysis (e.g., object detection, image segmentation, and tracking)
  • Strong math background, particularly linear algebra
  • Proficiency in Python
  • Experience with deep learning libraries (Keras, TensorFlow, Pytorch, etc)
  • Software engineering fundamentals: version control, testing, CI/CD, containerization
  • S. citizenship is required, due to program requirements
  • Ability to obtain and maintain an U.S. Government Security Clearance

NICE TO HAVE: 

  • Proficiency in C/C++/Rust
  • Experience curating quality, real-world datasets for training deep learning models
  • TS/SCI security clearance

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.

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