ZipRecruiter

Log In

1

Machine Learning Engineer Jobs in Goodyear, AZ (NOW HIRING)

Deloitte

Senior AI Engineer - SFL Scientific

Tempe, AZ

$100K - $137K/yr

Work You'll Do As a Senior AI Engineer, you'll work cross-functionally with data scientists, machine learning engineers, project managers, and industry experts to develop robust AI infrastructure and ...

Waabi

Research Engineer

Phoenix, AZ · On-site +1

$122K - $215K/yr

Qualifications: - Bachelor's in computer science, engineering, machine learning, or a related technical discipline. - Experience working on applied research projects. - Passion for taking research ...

Waabi

Research Engineer

Phoenix, AZ · On-site +1

$122K - $215K/yr

Qualifications: - Bachelor's in computer science, engineering, machine learning, or a related technical discipline. - Experience working on applied research projects. - Passion for taking research ...

Pwc

AI Engineer

Phoenix, AZ · On-site

$55K - $187K/yr

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ... Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials ...

APS

Data Scientist / Data Scientist, Senior

Phoenix, AZ · On-site

Held a Machine Learning Engineer or MLOps role in a large-scale enterprise environment. * Deep experience with modern ML models, cloud-native data platforms, and orchestration tools (e.g.,Kubeflow ...

Waabi

Senior / Staff Perception Engineer

Phoenix, AZ

$158K - $269K/yr

... machine learning, computer vision, and self-driving technologies, and apply insights from the ... Python programming with a focus on writing high-quality, well-structured, and tested code ...

Waabi

Senior / Staff Perception Engineer

Phoenix, AZ

$158K - $269K/yr

... machine learning, computer vision, and self-driving technologies, and apply insights from the ... Python programming with a focus on writing high-quality, well-structured, and tested code ...

Redolent, Inc.

AI/ML Engineer

Phoenix, AZ · On-site

We are seeking a highly skilled AI/ML Engineer to join our team ... The ideal candidate will have extensive experience in designing and developing machine learning ...

Staffingine LLC

AI Engineer

Phoenix, AZ · On-site

Design develop and deploy AI and machine learning models using Python and relevant AI stacks Manage ... engineers and stakeholders to ensure project success Continuously monitor and improve AI system ...

Honeywell International, Inc.

Lead AI Engineer

Phoenix, AZ · On-site

$96K - $126K/yr

As a Lead AI Engineer at Honeywell Aerospace, you will provide expert-level technical leadership in the development of AI-driven engineering design tools and physics-based machine learning models.

Pwc

AI Solutions Engineering Delivery Lead

Phoenix, AZ

$101K - $134K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Staffingine LLC

AI ML Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Programming Languages Python Pandas NumPy Scikitlearn SQL ... Statistical Modeling Machine Learning Regression Classification Clustering Time Series Forecasting

previous page

Showing results 41-60

All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Goodyear, AZ

Machine Learning Engineer information

See Goodyear, AZ salary details

$30.5K

$124.8K

$187.5K

How much do machine learning engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for machine learning engineer in Goodyear, AZ is $124,807.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,400.00 and $150,200.00 per year, depending on experience, location, and employer.

What is a machine learning engineer?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

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

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

What does a machine learning engineer do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

What are some common challenges faced by machine learning engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

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

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

More about Machine Learning Engineer jobs
What are the most commonly searched types of Machine Learning Engineer jobs in Goodyear, AZ? The most popular types of Machine Learning Engineer jobs in Goodyear, AZ are:
What cities near Goodyear, AZ are hiring for Machine Learning Engineer jobs? Cities near Goodyear, AZ with the most Machine Learning Engineer job openings:
Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Goodyear, AZ as of August 2026, with employment types broken down into 79% Full Time, and 21% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $124,807 per year, or $60 per hour.

IAM Engineer - Phoenix, Az

Motion Recruitment

Phoenix, AZ • On-site

Other

Medical, Dental, Vision, Retirement, PTO

Posted 14 days ago

Job description


A leading financial services firm in Chandler, AZ is seeking a Senior Machine Learning Engineer to join their technology innovation team. In this position, you’ll be at the forefront of building state-of-the-art machine learning solutions, taking ownership of projects from the design phase through to on-device deployment.
You’ll architect and support robust pipelines for sensor data analysis, shaping ML systems that deliver real-time inference and anomaly detection on resource-constrained hardware. Collaborating closely with hardware, firmware, and platform teams, you’ll be responsible for seamlessly integrating and validating intelligent features within embedded environments. This role will involve building and automating MLOps solutions, overseeing experiment management, and ensuring scalable and compliant machine learning lifecycle practices suited to regulatory demands.
Key Responsibilities
  • Lead the implementation of sensor data pipelines—from requirements through real-world integration
  • Design, train, optimize, and deploy ML models specifically for edge or embedded platforms, focusing on performance and reliability
  • Combine deep experience in Python with one or more frameworks (PyTorch, TensorFlow) to deliver production-ready models
  • Partner with engineering and product teams to embed, monitor, and validate ML inference in device applications
  • Develop infrastructure and automations for experiment tracking, continuous training, evaluation, and secure model deployment
  • Maintain full documentation for all aspects of the ML lifecycle to enable audit, regulatory compliance, and operational excellence
Required Skills & Experience
  • Extensive experience working with sensor and streaming data in production settings
  • Expertise in Python and at least one major ML library (PyTorch, TensorFlow, or alternatives)
  • Practical experience deploying models on edge systems (e.g., TensorRT, ONNX, TFLite, or similar technologies)
  • Solid engineering background with proficiency in C or C++ for embedded systems collaboration
  • Familiarity with MLOps and model versioning, preferably in a regulated environment
Preferred Qualifications
  • 5+ years hands-on ML development, with significant experience in real-time or embedded applications
  • Background working on medical, wearable, or robotics platforms highly desirable
  • Demonstrated success working in cross-functional teams with hardware/firmware integration
  • Experience in high-growth companies or small teams
  • Bachelor’s or higher in Computer Science, Engineering, or a related field
Daily Activities
  • This role is hands-on and project-focused, where you’ll design new ML workflows, transform raw data, and continually iterate on model performance
  • You’ll support firmware engineers by ensuring seamless embedding and runtime validation of ML features
  • Work with DevOps and MLOps teams to automate deployments and create scalable, reliable ML solutions
  • Troubleshoot model issues, and refine algorithms for speed, accuracy, and compliance
Compensation & Benefits
Eligible for performance-based bonus or commission
Comprehensive benefits package including:
  • Health, dental, and vision insurance
  • Paid holidays and vacation
  • 401(k) retirement plan with company match (if applicable)
Applicants must have current authorization to work in the US on a full-time basis, now and in the future

Apply