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Machine learning engineer Jobs in Glendale, AZ

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Machine learning engineer • glendale az

Last updated: 13 hours ago

Machine Learning Engineer - Remote

YO AI LabsPhoenix, AZ, USA
Remote
Full-time
Quick Apply

AI training project by creating reinforcement learning environments that evaluate AI models on complex software engineering tasks using.You will design reproducible environments, deterministic veri... Show more

Machine Operator

Apex RecruitingPhoenix, AZ, US
Full-time

We are seeking a skilled and dedicated Machine Operator to join our dynamic team in Chicago, IL.In this role, you will play a crucial part in ensuring our production runs smoothly and efficiently.I... Show more

Curb Machine Operator

B&B ConcretePhoenix, Arizona, United States
$16.00–$18.00 hourly
Full-time
Quick Apply

Reads specifications to determine location, width of base, and shape of curbing to be installed.Lays string between reference points and sprays paint a long string to form curb-machine guide marks.... Show more

Machine Operator I

Liberty Diversified International, Inc.Phoenix, AZ, US
$20.00 hourly
Full-time

As a Machine Operator I with Liberty Packaging, you will contribute to the growth of our business by being a key player in safely producing quality corrugated products for our customers.You will wo... Show more

Coffee Vending Machine Technician

5th HQPhoenix, Arizona
Full-time
Quick Apply

Coffee Vending Machine Technician .A Coffee Vending Machine Technician is responsible for ensuring the satisfaction of the clients and the development of a trusting relationship with existing ... Show more

 • New!

KaiPod Learning Coach

KaiPod LearningPhoenix, Arizona, United States
Full-time

KaiPod Learning brings together small groups (pods) of 10–12 students who live nearby and are enrolled in online or homeschool programs.We provide a safe, structured, and engaging in-person environ... Show more

Learning and Development Specialist

Carollo EngineersPhoenix, AZ, United States
Full-time

Carollo Engineers is a leading engineering firm dedicated exclusively to water.Carollo Engineers is a leading engineering firm dedicated exclusively to water.For over 90 years, we've specialized in... Show more

Forge Machine Operator

Valley Forge & Bolt MfgPhoenix, AZ, US
Full-time
Quick Apply

Essential Functions / Responsibilities:.Operate forging machines to produce high-quality industrial fasteners - Perform regular maintenance on machines to ensure optimal performance - Inspect finis... Show more

LEARNING & DEVELOPMENT PROGRAM SPECIALIST

Hubbard Family Swim SchoolPhoenix, AZ, United States
Full-time

Learning & Development Program Specialist.Under the direction of People and executive leadership, the Learning & Development Program Specialist supports the development, coordination, and continuou... Show more

Learning Program Manager

Willmeng ConstructionPhoenix, AZ, United States
Full-time

Willmeng is seeking a Learning Program Manager who keeps the learning ecosystem running with precision, purpose, and care.This role is the operational and strategic center of the Learning team own... Show more

Learning and Development Consultant

Verra MobilitySun City, AZ, United States
Full-time

Learning And Development Consultant.The Learning & Development Consultant leads the learning, knowledge management, and role-readiness framework for Verra Mobility's Title & Registration (T&R) oper... Show more

Machine Operator - Tolleson, AZ

WIOSS West LPTolleson, USA
Full-time

Join WITRON as a Machine Operator!.WITRON is seeking motivated and dependable.In this role, you will operate and monitor a.Operate and monitor automated material handling equipment (MHE) and system... Show more

TLC Leader Learning Program Coordinator

Common Spirit HealthPhoenix, AZ, United States
$23.90–$34.79 hourly
Full-time

TLC Leader Learning Program Coordinator.CommonSpirit Health is building a healthier future for all through its integrated health services.As one of the nation's largest nonprofit Catholic healthcar... Show more

Machine Learning Engineer

ProsumPhoenix, AZ, US
$130,000.00–$150,000.00 yearly
Permanent
Quick Apply

Machine Learning Engineering for a direct hire role to sit in North Phoenix, AZ or Hillsboro, OR.This role will be onsite 4 days a week and 1 remote day.The role of Senior Machine Learning Engineer... Show more

Machine Operator

Service WirePhoenix, Arizona, United States, 85003
Full-time

Service Wire Company, a premier supplier of industrial and utility wire and cable, is currently seeking Machine Operators in Phoenix, AZ.If you are looking to join a great organization and a chance... Show more

Operations Learning Manager (69699)

SanitasPhoenix, AZ, United States
Full-time

San Antonio - Region - San Antonio, TX 78209; Phoenix - Chandler - Chandler, AZ 85248; Phoenix - Paradise Valley - Phoenix, AZ 85374.Position Type Full Time Job Shift Hybrid Travel Percentage Rotat... Show more

Learning & Development Manager

Suntec ConcretePhoenix, AZ, United States
Full-time

Avenue, Phoenix, AZ, 85085, United States.Description Requirements Summary. Show more

Manager Operations Learning & Improvement

APSPhoenix, AZ, United States
Permanent

Manager Operations Learning & Improvement.Arizona Public Service generates reliable, affordable and clean energy for 2.Our service territory stretches across the state, from the border town of Doug... Show more

Professional Learning Specialist, Central (Phoenix)

IXL LearningPhoenix, AZ, United States
Full-time

Professional Learning Specialist.IXL Learning, developer of personalized learning products used by millions of people globally, is seeking a Professional Learning Specialist passionate about integr... Show more

Assistant Math Learning Center Director

MathnasiumPhoenix, AZ, United States
$35,000.00–$45,000.00 yearly
Part-time

Assistant Math Learning Center Director.Benefits: 401(k), 401(k) matching, employee discounts, free food & snacks, paid time off.Why Work with Us: At Mathnasium of Mathnasium (ID: 2202501), we're p... Show more

People also ask
Machine Learning Engineer - Remote

Machine Learning Engineer - Remote

YO AI LabsPhoenix, AZ, USA
30+ days ago
Job type
  • Full-time
  • Remote
  • Quick Apply
Job description

Senior Software Engineer

Job Type: Contractor (~15 hours/week)
Location: Remote

Job Summary

We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software engineering tasks using Model Context Protocol (MCP) tools.

You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase refactoring, and performance optimization. No prior AI experience is required.

Key Responsibilities

  • Create reinforcement learning environments for software engineering tasks.
  • Design tasks involving bug fixing, feature development, refactoring, and performance optimization.
  • Build deterministic verification systems and golden reference solutions.
  • Evaluate AI agents' ability to reason through complex codebases and use MCP tools effectively.
  • Develop realistic, reproducible software engineering scenarios.
  • Ensure tasks accurately measure coding ability, problem-solving, and tool usage.
  • Document solutions and provide clear technical feedback.

Required Skills

  • Strong proficiency in Python 3, Java, Rust, C++, or TypeScript.
  • Strong understanding of algorithms and data structures.
  • Experience with bug fixing and debugging complex software issues.
  • Proven experience in feature implementation and codebase refactoring.
  • Strong knowledge of performance optimization and tuning.
  • Excellent written and verbal communication.
  • Strong attention to detail.

Preferred Qualifications

  • Experience working with large-scale or distributed codebases.
  • Familiarity with AI/ML systems is a plus but not required.
  • Experience with rigorous code reviews and software engineering best practices.
  • Experience working effectively in remote or cross-functional teams.

Hiring Process

  1. Submit an application and screening questions.
  2. Complete an AI interview (~30 minutes).
  3. Complete a technical assessment, if required.
  4. Hiring Manager review.

Compensation

Compensation is output-based, with payment provided per task that meets project specifications. Minimum weekly submission requirements may apply.

Availability

Selected experts should be prepared to begin their first tasks within 24–48 hours of completing onboarding.