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Senior E Learning Animation Jobs in Arizona (NOW HIRING)

Valleywise Health System

Revenue Cycle Trainer

Phoenix, AZ · On-site

$39.96 - $58.94/hr

This role serves as a senior individual contributor and subject matter resource for onboarding ... Experience with instructional design, e-learning tools, virtual training delivery, quality review ...

POWERX

Technical Instructor

Phoenix, AZ · On-site

Support the development of e-learning modules and blended learning programs as needed. On-Site ... senior engineers. * Deep technical expertise in electrical apparatus testing (transformers ...

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All JobsE Learning Animation JobsSenior E Learning Animation JobsSenior E Learning Animation Jobs in Arizona

Senior E Learning Animation information

What is the difference between Senior E Learning Animation vs E Learning Animator?

AspectSenior E Learning AnimationE Learning Animator
CredentialsBachelor's degree in Animation, Graphic Design, or related field; extensive experienceSimilar educational background; less experience required
Work EnvironmentCollaborates with instructional designers, project managers, and clients in corporate or educational settingsWorks primarily on animation creation within e-learning teams
ResponsibilitiesLeads animation projects, mentors junior staff, oversees qualityCreates animations, edits videos, and implements visual elements

While both roles focus on e-learning animations, Senior E Learning Animation involves leadership, project oversight, and mentorship, whereas E Learning Animator primarily focuses on creating and editing animations. The senior role requires more experience and often involves strategic input, making it suitable for professionals with a strong portfolio and industry knowledge.

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Senior E Learning Animation jobs near you
Infographic showing various Senior E Learning Animation job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 24% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Senior Machine Learning Engineer I

Rocket Lab Corporation

Tucson, AZ • On-site

$115K - $152K/yr

Full-time

This job post has expired 2 days ago. Applications are no longer accepted.

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.

SENIOR MACHINE LEARNING ENGINEER I

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 Senior Machine Learning Engineer I 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 5+ years of experience, master's degree and 3+ years of experience, 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.

What Rocket Lab employees say

Pay

Benefits

Hours and flexibility

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