Top 210 Machine learning engineer Jobs in Phoenix Az

Campus Undergraduate Full-Time Engineer - 2027 AI Engineer I, Enterprise Technology Services- Phoenix, AZ
American Express —Phoenix, AZ
- $78,000 - $124,750 a year
- Full-time
- Hybrid work
- Computer science
- Computer Science
- Java
- Paid parental leave
- Health insurance
4d
AI Engineer III
American Express —Phoenix, AZ
- $103,750 - $174,750 a year
- Full-time
- Hybrid work
- System design
- APIs
- Senior level
5d
Campus Graduate Masters Full-Time Engineer - 2027 AI Engineer I, Enterprise Technology Services- Phoenix, AZ
American Express —Phoenix, AZ
- $78,000 - $124,750 a year
- Full-time
- Hybrid work
- Computer science
- Computer Science
- Java
- Paid parental leave
- Health insurance
4d
GenAI Engineer
Fusion Global Solutions LLC —Phoenix, AZ
- $91,082.04 - $109,690.20 a year
- Contract
- Hybrid work
- Research
- Java
- AWS
Quick Apply
Campus Undergraduate Full-Time Engineer - 2027 Software Engineer I, Enterprise Technology Services- Phoenix, AZ
American Express —Phoenix, AZ
- $78,000 - $124,750 a year
- Full-time
- Hybrid work
- Computer science
- Computer Science
- Bachelor's degree
- Paid parental leave
- Health insurance
4d
AI Engineer
Entertainment Partners —Tempe, AZ
- $140,000 - $180,000 a year
- Full-time
- Hybrid work
- 6 years
- Computer Science
- System design
- Paid holidays
- Dental insurance
Applied Data Scientist
GitKraken —Scottsdale, AZ
- Full-time
- Remote
- AWS
- Senior level
- Communication skills
- Paid parental leave
- Paid holidays
Quick Apply
AI Engineer/Anthropic-Campus Hire - US West
NewRocket —Phoenix, AZ
- Hybrid work
- Azure
- Computer Science
- Research
Quick Apply
10d
Data Scientist II
Scribd, Inc. —Phoenix, AZ
- $118,000 - $150,000 a year
- Full-time
- Computer Science
- Mid-level
- Residential
- Paid parental leave
- Disability insurance
STEEL PROJECT ENGINEER
Agate Steel —Scottsdale, AZ
- $60,000 - $90,000 a year
- Construction site
- 5 years
- Mid-level
- Paid holidays
- Health insurance
Quick Apply
Sequence Integrator
ASML —Phoenix, AZ
- Full-time
- Customer service
- Bachelor of Science
- Writing skills
Backend Software Engineer - AI Trainer
DataAnnotation —Mesa, AZ
- $50 - $100 an hour
- Part-time
- Remote
- Writing skills
- English
- Mid-level
- Flexible schedule
Quick Apply
Data Scientist - AI Trainer
DataAnnotation —Mesa, AZ
- $50 - $100 an hour
- Part-time
- Remote
- Writing skills
- English
- Mid-level
- Flexible schedule
Quick Apply
Backend Software Engineer - AI Trainer
DataAnnotation —Peoria, AZ
- $50 - $100 an hour
- Part-time
- Remote
- Writing skills
- English
- Mid-level
- Flexible schedule
Quick Apply
Data Security Engineer IV
Edward Jones —Tempe, AZ
- $101,700 - $173,200 a year
- Full-time
- Remote
- 7 years
- Office
- Fair chance
- Profit sharing
- Health savings account
4d
Senior Digital Signal Processing Systems Engineer
General Dynamics Mission Systems, Inc —Scottsdale, AZ
- $157,487 - $167,000 a year
- Full-time
- Hybrid work
- 6 years
- Master's degree
- Analysis skills
- Paid parental leave
- Health insurance
Data Engineer
Mountain Park Health Center —Phoenix, AZ
- Full-time
- Computer science
- Azure
- Computer Science
- Health insurance
- Dental insurance
Quick Apply
5d
Senior Data Platform Architect
Banner Health —Phoenix, AZ
- $65.70 - $109.50 an hour
- Full-time
- Remote
- Computer science
- Azure
- Computer Science
- Health insurance
AI Engineer II
McCarthy Holdings, Inc. —Phoenix, AZ
- Full-time
- Azure
- Computer Science
- Mid-level
9d
AI/ML Engineer
Diligent Tec Inc —Scottsdale, AZ
- $130,000 - $140,000 a year
- Full-time
- Azure
- 8 years
- AWS
Quick Apply

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Campus Undergraduate Full-Time Engineer - 2027 AI Engineer I, Enterprise Technology Services- Phoenix, AZ

American Express -
Phoenix, AZ

Apply Now

Job Details

Full-time
$78,000 - $124,750 a year
4 days ago

Benefits

Paid parental leave
Health insurance
Dental insurance
Parental leave
Vision insurance
Life insurance
Retirement plan

Qualifications

AI models
Technical documentation
Data structures
Testing and evaluation
Machine intelligence
Bachelor's degree
Supervised learning
Software testing
Unsupervised learning
Generative AI
Cross-functional communication

Full Job Description

Business Unit / Role Specific Info

The Enterprise Technology Services organization partners with every part of the American Express business to power the company’s growth and innovation with trust and efficiency, and drive competitive differentiation with speed. We support the delivery and operations of technology, digital, and data capabilities, platforms, and services globally. Specifically, our team is responsible for the company’s technology engineering, architecture, and infrastructure, providing 24x7 support to ensure an uninterrupted, high-quality experience for customers and colleagues. We also provide product management for core enterprise platforms, and lead technology risk and information security, enterprise data governance and platforms, digital product and design, and enterprise AI platforms on behalf of the company.

At American Express, we empower technologists to learn, innovate, and make an impact from day one. As an AI Engineer I in Enterprise Technology Services, you’ll join a full-time graduate program and contribute to technology work that helps teams explore, build, test, and responsibly scale AI-enabled solutions.

In this role, you may support work across machine learning, generative AI, intelligent automation, data pipelines, retrieval patterns, model evaluation, LLM integrations, AI agents, agentic workflows, and AI-enabled software features. You’ll collaborate with engineering, product, data, security, risk, and business partners to help deliver enterprise AI solutions responsibly, reliably, and securely.

Minimum Qualifications

Must have earned a Bachelor’s degree in Computer Science, Machine Learning, Data Science, Artificial Intelligence, Computer Engineering, Software Engineering, or another technical field before the full-time start date.
Knowledge of Python and foundational data processing technologies.
Foundational understanding of computer science concepts, including data structures, algorithms, object-oriented programming, debugging, testing, and problem solving.
Foundational understanding of machine learning concepts such as supervised learning, unsupervised learning, model training, evaluation, feature engineering, and experimentation.
Introductory understanding of modern AI systems, including LLM APIs, prompt-based interactions, retrieval patterns, AI powered tools, or generative AI applications.
Ability to support AI/ML development, testing, documentation, integration, or data pipeline activities under guidance.
Awareness of responsible AI expectations, including reliability, safety, governance, security, privacy, compliance, and appropriate escalation when work is unclear or outside standard guidance.

Preferred Qualifications

Bachelor’s degree candidates with an expected graduation date between December 2026 and June 2027.
Experience through academic coursework, research, projects, open-source contributions, internships, hackathons, or extracurricular activities using Python, R, Java, JavaScript, or similar technologies.
Interest in machine learning, generative AI, natural language processing, intelligent automation, data engineering, agentic AI, or AI-enabled software development.
Familiarity with NLP techniques and model concepts such as fuzzy matching, embeddings, BERT, transformers, LLMs, or other modern language models.
Exposure to LLM APIs or similar AI models, including prompt engineering, prompt evaluation, tools, function calling, retrieval patterns, or agent workflow concepts.
Experience or coursework involving machine learning algorithms and applying them to practical or real-world problems.
Familiarity with APIs, data pipelines, ETL processes, cloud environments, containerized development, model deployment patterns, or monitoring.
Awareness of CI/CD, version control, testing, code reviews, Agile development, and collaborative software engineering workflows.
Exposure to version control systems such as Git and collaborative software development workflows.

Our team reviews applications on a rolling basis. We appreciate your patience while we consider your application and will contact qualified candidates regarding next steps.

Employment eligibility to work with American Express in the United States is required as the company will not pursue visa sponsorship for these positions.

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service.

As part of Team Amex, you’ll experience our powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.

We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:

Competitive base salaries
Bonus incentives
6% Company Match on retirement savings plan
Free financial coaching and financial well-being support
Comprehensive medical, dental, vision, life insurance, and disability benefits
Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy
Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
Free and confidential counseling support through our Healthy Minds program
Career development and training opportunities

For a full list of Team Amex benefits, visit our Colleague Benefits Site .

American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. American Express will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable state and local laws, including the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance for Employers, and the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance. For positions covered by federal and/or state banking regulations, American Express will comply with such regulations as it relates to the consideration of applicants with criminal convictions.

We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually.

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Refine Your Search

machine learning engineer jobs in phoenix az

Campus Undergraduate Full-Time Engineer - 2027 AI Engineer I, Enterprise Technology Services- Phoenix, AZ

AI Engineer III

Campus Graduate Masters Full-Time Engineer - 2027 AI Engineer I, Enterprise Technology Services- Phoenix, AZ

GenAI Engineer

Campus Undergraduate Full-Time Engineer - 2027 Software Engineer I, Enterprise Technology Services- Phoenix, AZ

AI Engineer

Applied Data Scientist

AI Engineer/Anthropic-Campus Hire - US West

Data Scientist II

STEEL PROJECT ENGINEER

Sequence Integrator

Backend Software Engineer - AI Trainer

Data Scientist - AI Trainer

Backend Software Engineer - AI Trainer

Data Security Engineer IV

Senior Digital Signal Processing Systems Engineer

Data Engineer

Senior Data Platform Architect

AI Engineer II

AI/ML Engineer

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