ZipRecruiter

Log In

1

Online Volunteer Machine Learning Jobs (NOW HIRING)

NTENT

Machine Learning Engineer

Carlsbad, CA · On-site

Machine learning, natural language processing, learning-to-rank, online learning, deep learning, interactive machine learning, machine teaching, conversational agents, human computer interaction ...

NTENT

Machine Learning Engineer

Carlsbad, CA

Machine learning, natural language processing, learning-to-rank, online learning, deep learning, interactive machine learning, machine teaching, conversational agents, human computer interaction ...

Q2

Machine Learning Engineer

Austin, TX · On-site

SUMMARY The Machine Learning Engineer provides hands-on expertise in designing, implementing, and ... Community Volunteering & Company Philanthropy Programs * Employee Peer Recognition Programs - "You ...

Q2 Software, Inc.

Machine Learning Engineer

Austin, TX · On-site

SUMMARY The Machine Learning Engineer provides hands-on expertise in designing, implementing, and ... Community Volunteering & Company Philanthropy Programs * Employee Peer Recognition Programs - "You ...

Q2 India

Machine Learning Engineer

Austin, TX · On-site

$100 - $130/hr

Machine Learning Engineer page is loaded## Machine Learning Engineerlocations: Austin, TXtime type ... Community Volunteering & Company Philanthropy Programs* Employee Peer Recognition Programs - "You ...

Advatix Inc.

Machine Learning Engineer

San Mateo, CA · On-site

$110 - $165/hr

Machine Learning Engineer / Research Engineer Pay: $$110,000 - $165,000 Base Salary + Equity Shift ... Implement robust offline and online evaluation frameworks to measure model performance and business ...

Sierra Ventures

Machine Learning Engineer

Somerville, MA · On-site

$170 - $200/hr

Our products help detect harm, prevent fraud, and build safer, more trusted online and real-world ... We're looking for a Senior Machine Learning Engineer to help advance the state of voice ...

Qfanalytics

Machine Learning Engineer

Miami, FL · On-site

$80 - $120/hr

... online trading platforms with a monthly trading volume in excess of $11 billion dollars. We are ... The Machine Learning Researcher should be interested in Financial Markets, and will be directly ...

Qfanalytics

Machine Learning Engineer

Chicago, IL · On-site

$80 - $120/hr

... online trading platforms with a monthly trading volume in excess of $11 billion dollars. We are ... The Machine Learning Researcher should be interested in Financial Markets, and will be directly ...

Dow Chemical

Machine Learning Engineer

Deer Park, TX · On-site

$130 - $190/hr

... involve online, batch, or real-time inference * Deploys and monitors machine learning models in ... Paid time off to support volunteering and Employee Resource Group's (ERG) participation.

next page

Showing results 1-20

All JobsOnline Volunteer Machine Learning Jobs

Online Volunteer Machine Learning information

See salary details

$8

$19

$27

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

As of Aug 12, 2026, the average hourly pay for online volunteer machine learning in the United States is $19.23, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $21.39 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:
Online Volunteer Machine Learning jobs near you

Machine Learning Engineer

Quantum Machines

Santa Barbara, CA • On-site

Full-time

Re-posted 14 days ago

Job description

Description
Quantum Machines (QM) is a global leader in quantum computing control systems. Through our pioneering hardware and software solutions based on instruction-based quantum control, we're revolutionizing how quantum computers are built and controlled. As we stand at the forefront of exponential growth in quantum computing, we're assembling an elite team that actively shapes the evolution of quantum technologies.
We are looking for a Machine Learning Engineer to design, build, and deploy machine learning systems that improve the calibration, control, and operation of quantum processors. In this role, you will work at the intersection of machine learning, quantum physics, and software engineering, translating noisy, non-stationary, safety-critical control problems into ML solutions that run on real hardware in production labs.
You will develop reinforcement learning policies, Bayesian inference methods, and agentic frameworks that make quantum control more autonomous, more sample-efficient, and more robust to drift. This position offers unprecedented exposure to diverse qubit types and quantum architectures, with a tight feedback loop between your models and the systems they steer, and the opportunity to deliver groundbreaking ML-driven solutions to the labs and companies defining the next generation of quantum systems.
Responsibilities:
  • Develop reinforcement learning, Bayesian inference, and probabilistic modelling approaches for parameter tuning, drift tracking, and adaptive measurement, to be deployed on real hardware.
  • Develop real-time parameter steering for calibration during QEC and between circuits.
  • Develop and maintain agentic frameworks for autonomous system control and calibration.
  • Develop and maintain Python-based ML services and libraries that integrate with the wider Quantum Machines control stack, including QUA, Qualibrate, and the OPX1000.
  • Work directly with customers and partner labs to deploy, validate, and iterate on ML solutions in real experimental environments.
  • Collaborate cross-functionally with product, R&D, and hardware teams, contributing to internal libraries, customer-facing SDKs, and training materials.

Requirements
  • PhD/Master in Machine Learning, Physics, Applied Physics, Quantum Information Science, or a related field. 4+ years of relevant experience
  • Strong background in Machine Learning and Deep Learning, with hands-on experience in at least one of: deep learning, reinforcement learning, agentic AI
  • Strong Python proficiency, including scientific or systems-oriented codebases
  • Solid software engineering fundamentals (architecture, Git workflows, testing, code review)
  • Proven track record of taking ML from prototype to deployment under real-world constraints - non-stationary data, expensive evaluations, or safety-critical action spaces. Robotics, online control, autonomous vehicles, or hardware-in-the-loop ML all transfer well
  • Strong problem-solving skills and customer-focused mindset; ability to work independently and in multidisciplinary teams
  • Proven software development track record and excellent technical communication skills
  • Familiarity with quantum computing concepts - qubit calibration, randomized benchmarking, QEC, optimal control- advantage
  • Experience with sim-to-real, multi-objective RL, or meta-learning- advantage

Apply