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Part Time Volunteer Machine Learning Jobs (NOW HIRING)

Machine Learning Engineer

New York, NY · On-site

$223K - $260K/yr

Part-time telecommuting is an option. Hybrid work from Reddit offices in New York, NY. Minimum ... Flexible Vacation & Paid Volunteer Time Off * Generous Paid Parental Leave Submit a resume with ...

$176K/yr

Machine Learning Engineer The Opportunity: As an experienced AI and ML engineer, you know that ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

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Part Time Volunteer Machine Learning information

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How much do part time volunteer machine learning jobs pay per hour?

As of Jun 28, 2026, the average hourly pay for part time 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 are the most commonly searched types of Volunteer Machine Learning jobs? The most popular types of Volunteer Machine Learning jobs are:
Machine Learning Engineer

Machine Learning Engineer

Reddit

New York, NY • On-site

$223K - $260K/yr

Full-time, Part-time, Contractor

Medical, Dental, Vision, Retirement, PTO

Posted 6 days ago


Job description

Reddit is a community of communities. It's built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet's largest sources of information. For more information, visit www.redditinc.com.
Job Duties: Build ads retrieval and early ranking system for critical ML tasks with advanced industrial level techniques. Research, implement, test, and launch new model architectures including information retrieval, ANN, recommendation system, deep neural networks within high dimensional information system. Work on large-scale data systems, data pipelines and system engineering on large-scale dataset, backend services and product integration. Collaborate closely with multiple stakeholders across product, engineering, research and marketing. Train, evaluate, test, and deploy machine learning models. Part-time telecommuting is an option. Hybrid work from Reddit offices in New York, NY.
Minimum Requirements: Master's degree in Data Science, Computer Science or closely related quantitative discipline, and (2) years of experience in the job offered or in any occupation in related field.
Special Skill Requirements: (1) Java, Python, Scala, or C++; (2) Data processing frameworks (Spark and Kafka); (3) cloud service provider (AWS or GCP); (4) Container Orchestration (Kubernetes); (5) CI/CD tooling (Drone, CircleCI, and Spinnaker); (6) Machine Learning modeling framework (Tensorflow and PyTorch); (7) Machine Learning deployment; (8) Model training pipeline (Kubeflow and Ray); (9) Jupyter notebook; (10) Data analysis and reading dashboards; (11) DNN frameworks; (12) Airflow piplines; and (13) SQL and Big Query. Any suitable combination of education, training and experience is acceptable. Part-time telecommuting is an option. Hybrid work from Reddit offices in New York, NY
Benefits:
  • Comprehensive Healthcare Benefits and Income Replacement Programs
  • 401k with Employer Match
  • Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
  • Family Planning Support
  • Gender-Affirming Care
  • Mental Health & Coaching Benefits
  • Flexible Vacation & Paid Volunteer Time Off
  • Generous Paid Parental Leave

Submit a resume with references using the apply button on this posting or by email at: applicationsreview@reddit.com at Req.# 1016.14.2.
Pay Transparency:
This job posting may span more than one career level.
In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/.
To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies.
The base pay range for this position is: $223,000.00 - $260,100.00 USD
#LI-DNI
In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.
During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors.
Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.