ZipRecruiter

Log In

1

Amazon Model Jobs in Arizona (NOW HIRING)

SteerBridge

Data Analyst I

Yuma, AZ

Write clean, efficient, and production-ready SQL (Amazon Redshift, Oracle SQL Developer) * Utilize ... Experience with predictive analytics or modeling * Proficiency in Python or R for data analysis

SteerBridge

Data Analyst I

Yuma, AZ

$81K - $95K/yr

Write clean, efficient, and production-ready SQL (Amazon Redshift, Oracle SQL Developer) * Utilize ... Experience with predictive analytics or modeling * Proficiency in Python or R for data analysis

SteerBridge

Data Analyst I

Yuma, AZ · On-site

$81K - $95K/yr

Write clean, efficient, and production-ready SQL (Amazon Redshift, Oracle SQL Developer) * Utilize ... Experience with predictive analytics or modeling * Proficiency in Python or R for data analysis

Globe Telecom, Inc.

AI Cloud Engineer

Globe, AZ

$53 - $70.75/hr

AI Cloud Engineer experienced in cloud platforms, primarily Google Cloud Platform (GCP) and Amazon ... AI Integration & Model Deployment * Work closely with AI teams to build and manage cloud-based ...

Globe Telecom, Inc.

AI Cloud Engineer

Globe, AZ

$53 - $70.75/hr

AI Cloud Engineer experienced in cloud platforms, primarily Google Cloud Platform (GCP) and Amazon ... AI Integration & Model Deployment * Work closely with AI teams to build and manage cloud-based ...

Photon

Technical Architect_Tempe,AZ

Anthem, AZ · On-site

... Amazon DynamoDB and Azure Cosmos DB. * Establish standards for partitioning, indexing, caching, consistency models, replication, and high-availability database architectures. * Design data ...

Photon

Technical Architect_Tempe,AZ

Anthem, AZ · On-site

... Amazon DynamoDB and Azure Cosmos DB. * Establish standards for partitioning, indexing, caching, consistency models, replication, and high-availability database architectures. * Design data ...

Forhyre

Data Engineer

Phoenix, AZ

$113K - $136K/yr

Design, develop and implement reporting platforms (e.g. modeling, ETL, BI framework) and complex ET ... Skilled in Amazon Web Services (AWS) offerings, development, and networking platforms * Skilled in ...

Deloitte

AI and Data Science Engineer III

Tempe, AZ · On-site +1

$109K - $131K/yr

... model or prompt version management * 4+ years of experience using Amazon Web Services, Microsoft Azure, or Google Cloud Platform for data platforms and scalable compute * 4+ years of experience ...

Deloitte

Lead Business Transformation Architect

Tempe, AZ

$53 - $72.50/hr

Leading the design, deployment, and integration of artificial intelligence models and applications across cloud platforms such as Amazon Web Services, Microsoft Azure, and Google Cloud Platform

Pwc

Data Engineer - Manager

Phoenix, AZ

$99K - $232K/yr

... client needs - Utilizing Amazon Web Services (AWS) and Azure Data Factory to enhance data ... in dimensional modeling and data pipeline management - Leading teams in data warehouse ...

next page

Showing results 1-20

All JobsAmazon Model JobsAmazon Model Jobs in Arizona

Amazon Model information

See Arizona salary details

$46.6K

$97.1K

$132.8K

How much do amazon model jobs pay per year?

As of Jun 10, 2026, the average yearly pay for amazon model in Arizona is $97,071.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,300.00 and $116,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Amazon Model position, and why are they important?

To thrive as an Amazon Model, you need strong posing abilities, physical fitness, and an understanding of e-commerce fashion or product modeling, often supported by a professional portfolio. Experience with photography equipment, lighting setups, and digital style boards is beneficial, while some roles may require familiarity with promotional or live-streaming tools. Confidence, adaptability, punctuality, and effective communication are key soft skills for working with creative teams and diverse products. These skills are vital for delivering high-quality images or videos that meet brand standards and help drive online sales.

What is an Amazon Model job?

An Amazon Model job typically involves modeling clothing, accessories, or other products for Amazon's e-commerce platform. Models may participate in photoshoots or video productions to showcase items for product listings, advertisements, or marketing campaigns. These roles can be freelance, contract, or agency-based, depending on the specific project. Amazon collaborates with modeling agencies and independent models to ensure diverse representation.

What does a typical day look like for an Amazon Model and what kinds of products might I be modeling?

As an Amazon Model, your day often consists of attending scheduled photoshoots in a studio or on location, where you'll model a variety of products ranging from clothing and accessories to electronics or home goods. You may be expected to work closely with photographers, stylists, and brand representatives to showcase items in a way that appeals to online shoppers. Flexibility is important, as each project may have different posing styles or time frames, and quick wardrobe or product changes are common. Consistent professionalism, punctuality, and readiness to take direction contribute to successful shoots and may lead to more frequent bookings and long-term collaborations with brands.

What are popular job titles related to Amazon Model jobs in Arizona? For Amazon Model jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Amazon Model jobs in Arizona look for? The top searched job categories for Amazon Model jobs in Arizona are:
Amazon Model jobs near you
Infographic showing various Amazon Model job openings in Arizona as of June 2026, with employment types broken down into 95% Full Time, 3% Part Time, and 2% Contract. Highlights an 87% Physical, 6% Hybrid, and 7% Remote job distribution, with an average salary of $97,071 per year, or $46.7 per hour.

Swarm Engineer - Multi-Agent Task Planning

Swarmbotics AI

Phoenix, AZ • On-site

Full-time

Posted 14 days ago

Job description

Company background
Swarmbotics AI is a low-cost, swarm robotics company for industry and defense. We see a world of ubiquitous low-cost robots transforming almost all aspects of society, but we see an urgent need in the defense industry. We focus on building swarms of robots that incorporate a low-cost BOM, an autonomous stack optimized for off the shelf components, and a global planner that enables swarm capabilities for groups of robots to accomplish sophisticated tasks.
Our first product is a defense application building Unmanned Ground Vehicles (UGVs), collectively termed - Attritable, Networked, Tactical Swarm (ANTS). Each UGV in ANTS is an independently-tasked, attritable robot designed for on-demand and autonomous mobility. When operating as a swarm, ANTS is capable of executing more advanced and coordinated, high-level capabilities across a battlespace. ANTS will help solve some of the DoD's biggest problems that will save lives and increase defense capabilities.
Stephen Houghton and Drew Watson are the Founders and have decades of experience in self-driving cars and trucks, humanoids, and UAVs with experience from NASA, JPL, Cruise, Embark, McKinsey, Amazon, and the CIA.
Job description
Swarmbotics AI is seeking a Machine Learning Engineer to design, develop, and deploy a **multi-modal action model** that enables each UGV to select and execute coordinated swarm macro-actions in real time. This role sits at the intersection of machine learning and multi-agent decision making: you will build learned models that reason over multi-modal inputs to perform tactical macro-actions.
This is not a perception role. The core focus is on the decision-making and action-selection layers - training models that translate situational awareness into intelligent swarm behavior. You will work closely with company leadership and cross-functional teams to align capabilities with the Swarmbotics AI product roadmap.
What You'll Do
  • Architect, train, and iterate on multi-modal action models that select swarm-level tactical macro-actions from rich contextual inputs
  • Design model architectures that fuse heterogeneous inputs - local perception, swarm state, mission objectives - into a unified decision representation
  • Develop and apply online and offline reinforcement learning approaches, including transformer-based sequence modeling, to learn swarm coordination policies
  • Optimize models to run real-time on edge devices through quantization, distillation, and efficient architecture design
  • Build and maintain the full pipeline from data collection and curation through training, evaluation, and field deployment
  • Integrate the action model into the broader autonomy stack alongside navigation, planning, and swarm coordination subsystems
  • Deploy and validate trained models on physical UGV swarms in field environments
  • Write robust Python and C++ code

Required qualifications
  • Strong mathematical foundation in neural networks, transformers, reinforcement learning, and statistics
  • Proficiency in Python and C++
  • Experience with PyTorch or TensorFlow
  • Experience training and deploying models that produce **actions or macro-actions** (e.g., online or offline reinforcement learning, planning-as-inference, VLA models, or similar) - not solely classification or perception
  • Familiarity with multi-agent coordination concepts: task allocation, distributed decision-making, or swarm behaviors
  • Experience optimizing and deploying ML models on resource-constrained or edge hardware

Preferred qualifications
  • Hands-on experience with policy gradient methods such as PPO
  • Experience with multi-agent task planning algorithms (task allocation, scheduling, auction-based methods)
  • Familiarity with ONNX, TensorRT, and edge deployment toolchains
  • Prior robotics experience, autonomous driving background, or work with unmanned systems
  • Experience with simulation environments and synthetic data generation for training multi-agent policies
  • Experience owning an entire data-to-production model pipeline
  • Academic publications in related fields (e.g., NeurIPS, AAAI, IROS, ICRA, JAIR)
  • Experience with a CatBs framework is preferred but not required

The preceding description is not designed to be a complete list of all duties and responsibilities required for the position. Swarmbotics is an equal-opportunity employer. All qualified applicants will be treated with respect and receive equal consideration for employment without regard to race, color, caste, creed, religion, sex, gender identity, sexual orientation, national origin, ancestry, disability, uniform service, Veteran status, age, or any other protected characteristic per federal, state, or local law.
The preceding description is not designed to be a complete list of all duties and responsibilities required for the position. Swarmbotics is an equal-opportunity employer. All qualified applicants will be treated with respect and receive equal consideration for employment without regard to race, color, caste, creed, religion, sex, gender identity, sexual orientation, national origin, ancestry, disability, uniform service, Veteran status, age, or any other protected characteristic per federal, state, or local law.

Apply