ZipRecruiter

Log In

1

Afternoon Volunteer Machine Learning Jobs (NOW HIRING)

Yum

Sr Machine Learning Engineer

Irvine, CA · On-site

$112K - $154K/yr

We are seeking a hands-on Senior Machine Learning Engineer to support and enhance machine learning ... for volunteer time each calendar year. To learn more about working at Yum! -Click here. At Yum ...

Roku

Senior Machine Learning Engineer

Austin, TX · On-site

$121K - $160K/yr

We use Machine Learning, Reinforcement Learning, AI, Control and Optimization Systems, and Auction ... Local benefits include statutory and voluntary benefits which may include healthcare (medical ...

Atoms

Senior Machine Learning Engineer

Mountain View, CA · On-site

$175K - $230K/yr

What you'll do As a Machine Learning Engineer at Atoms, you'll be an integral part of building out ... Company-paid life and disability insurance (short- and long-term). * Voluntary insurance: accident ...

Atoms

Senior Machine Learning Engineer

Mountain View, CA · On-site

$175K - $230K/yr

What you'll do As a Machine Learning Engineer at Atoms, you'll be an integral part of building out ... Company-paid life and disability insurance (short- and long-term). * Voluntary insurance: accident ...

Entrata

Senior Machine Learning Engineer

Lehi, UT · On-site +1

$144K - $233K/yr

We are seeking a Senior Machine Learning Engineer to help build and scale Entrata's applied AI ... Entrata Cares programs offers opportunities for volunteerism, charity events, and giving back to ...

Entrata

Senior Machine Learning Engineer

Lehi, UT · On-site +1

$98K - $134K/yr

We are seeking a Senior Machine Learning Engineer to help build and scale Entrata's applied AI ... Entrata Cares programs offers opportunities for volunteerism, charity events, and giving back to ...

Entrata

Senior Machine Learning Engineer

Lehi, UT · On-site

$144K - $233K/yr

We are seeking a Senior Machine Learning Engineer to help build and scale Entrata's applied AI ... Entrata Cares programs offers opportunities for volunteerism, charity events, and giving back to ...

Masimo

Engineer II, AI/Machine Learning

Irvine, CA · On-site

$120K - $150K/yr

The AI/Machine Learning Engineer II will be part of the R&D team at Masimo with focus on design and ... Accounts, voluntary Accident, Critical Illness, Hospital, Long-Term Care, Employee Assistance ...

Masimo

Engineer II, AI/Machine Learning

Irvine, CA · On-site

$120K - $150K/yr

The AI/Machine Learning Engineer II will be part of the R&D team at Masimo with focus on design and ... Accounts, voluntary Accident, Critical Illness, Hospital, Long-Term Care, Employee Assistance ...

Reddit

Machine Learning Manager, Feed Ecosystems

In this role, you'll lead a high-impact team of Machine Learning Engineers focused on building ... Flexible Vacation & Paid Volunteer Time Off * Generous Paid Parental Leave #LI-remote, #LI-JS5

previous page

Showing results 41-60

All Jobsinternship Jobsafternoon JobsTechnology JobsAfternoon Volunteer Machine Learning Jobs

Afternoon Volunteer Machine Learning information

See salary details

$8

$19

$33

How much do afternoon volunteer machine learning jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for afternoon volunteer machine learning in the United States is $19.14, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $20.19 per hour, depending on experience, location, and employer.

What cities are hiring for Afternoon Volunteer Machine Learning jobs?

Cities with the most Afternoon Volunteer Machine Learning job openings:

What are the most commonly searched types of Volunteer Machine Learning jobs?

The most popular types of Volunteer Machine Learning jobs are:

What states have the most Afternoon Volunteer Machine Learning jobs?

States with the most job openings for Afternoon Volunteer Machine Learning jobs include:

Afternoon Volunteer Machine Learning jobs near you

Sr Machine Learning Engineer

Yum

Irvine, CA • On-site

$112K - $154K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 24 days ago

Yum! Brands rating

5.4

Company rating: 5.4 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

Job description


We are seeking a hands-on Senior Machine Learning Engineer to support and enhance machine learning platforms used for media measurement and customer analytics. This role partners closely with Data Scientists, Data Engineers, and Analytics stakeholders to deploy, maintain, and improve production ML workflows across AWS. The ideal candidate combines strong software engineering and MLOps fundamentals with a passion for building reliable, scalable machine learning systems.
Responsibilities
  • Support the deployment, monitoring, and ongoing maintenance of media measurement and customer modeling systems in partnership with Data Science and Engineering teams.
  • Develop and maintain SageMaker processing and training jobs, model endpoints, and supporting infrastructure across development, testing, and production environments.
  • Contribute to Step Functions, Lambda functions, and Airflow (MWAA) workflows that orchestrate model training, scoring, retraining, and analytics pipelines.
  • Support MLflow model registration and promotion processes, configuration management, and versioned model artifacts.
  • Build and maintain Docker images, ECR repositories, and GitLab CI/CD pipelines to enable reliable model deployment and release processes.
  • Help productionize machine learning models and data pipelines that support customer analytics, scoring, and decisioning use cases.
  • Investigate and resolve production issues using CloudWatch, DataDog, SageMaker logs, and workflow monitoring tools.
  • Collaborate with cross-functional partners to implement platform enhancements, improve operational reliability, and deliver new capabilities.
  • Contribute to engineering best practices, documentation, testing strategies, and operational procedures.

Qualifications
Required Qualifications
  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.
  • 3+ years of experience in Machine Learning Engineering, MLOps, Software Engineering, or related technical roles.
  • Strong Python development skills, including experience with pandas, PyTorch, scikit-learn, boto3, and SQL.
  • Experience working with AWS services such as SageMaker, Step Functions, Lambda, S3, IAM, and ECR.
  • Experience developing or supporting orchestration workflows using Airflow, Glue, or similar technologies.
  • Familiarity with cloud-based data platforms such as Snowflake, Redshift, or Athena.
  • Experience with Docker, CI/CD pipelines, source control workflows, and software development best practices.
  • Strong troubleshooting and debugging skills across distributed systems and machine learning workflows.
  • Ability to collaborate effectively with technical and non-technical stakeholders.

Preferred Qualifications
  • Experience with Bayesian or probabilistic modeling frameworks such as PyMC or ArviZ.
  • Familiarity with MLflow, Hydra/OmegaConf, FastAPI, or similar ML platform tooling.
  • Experience supporting deep learning workflows in production environments.
  • Exposure to infrastructure-as-code tools such as Terraform, Terragrunt, or CloudFormation.
  • Experience working with customer analytics, marketing measurement, or recommendation systems.

Salary Range: 129,800 - 162,200 annually + bonus eligibility. This is the expected salary range for this position. Ultimately, in determining pay, we'll consider the successful candidate's location, experience, and other job-related factors.
Benefits: Employees (and their eligible family members) may enroll in the following types of insurance coverage: medical, dental, vision, legal, and accidental death and dismemberment, as well as FSA/HSA (depending on enrolled medical plan). Yum! also provides short-term disability, long-term disability, and life insurance. Employees may enroll in our 401(k) plan. Yum! provides 4 weeks of vacation, paid sick leave, 10 paid holidays, a floating day off and 2 paid days for volunteer time each calendar year. To learn more about working at Yum! -Click here.
At Yum!, one of our core values is to Believe in ALL People. This means seeing the value in everyone and unlocking their full potential to be their best self. YUM! Brands, Inc. (including its subsidiaries Yum Restaurant Services Group, LLC ("YRSG") and Yum Connect, LLC ("Yum Digital and Technology")(collectively, "Yum") is proud to be an equal opportunity employer and is committed to equity, inclusion, and belonging for all dimensions of diversity. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other protected characteristic. Yum! is committed to working with and providing reasonable accommodation to applicants with disabilities or special needs.
US Job Seekers/Employees - Click here to view the "Know Your Rights" poster and supplement and the Pay Transparency Policy Statement.

What Yum! Brands employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply