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Volunteer Mlops Engineer Jobs (NOW HIRING)

Averity

Staff Machine Learning Engineer

Manhattan, NY · On-site

$170K - $215K/yr

Build robust ML models and MLOps pipelines that drive personalized insights * Partner with ... Giving Back - Recognition programs + dedicated volunteer days to support causes you care about.

The Mutual Group

Lead AI Engineer - AWS Platform

Iowa, LA · On-site +1

$130K - $190K/yr

Working knowledge of MLOps practices (CI/CD, monitoring, versioning) Preferred * Experience with ... Generous time off program that includes personal, holiday and volunteer paid time off * Flexible ...

The Mutual Group

Lead AI Engineer - AWS Platform

Dallas, TX · On-site +1

$130K - $190K/yr

Working knowledge of MLOps practices (CI/CD, monitoring, versioning) Preferred * Experience with ... Generous time off program that includes personal, holiday and volunteer paid time off * Flexible ...

Berkadia

Senior Engineer - Machine Learning

Midvale, UT · On-site

$98K - $135K/yr

Establish and contribute to best practices in MLOps, including model deployment, monitoring ... Monthly paid volunteer hours and donation matching to benefit our communities * Employee Resource ...

Berkadia

Senior Engineer - Machine Learning

Ambler, PA · On-site

$100K - $138K/yr

Establish and contribute to best practices in MLOps, including model deployment, monitoring ... Monthly paid volunteer hours and donation matching to benefit our communities * Employee Resource ...

The Mutual Group

Lead AI Engineer - AWS Platform

Denver, CO · On-site +1

$130K - $190K/yr

Working knowledge of MLOps practices (CI/CD, monitoring, versioning) Preferred * Experience with ... Generous time off program that includes personal, holiday and volunteer paid time off * Flexible ...

The Mutual Group

Lead AI Engineer - AWS Platform

Boston, MA · On-site +1

$130K - $190K/yr

Working knowledge of MLOps practices (CI/CD, monitoring, versioning) Preferred * Experience with ... Generous time off program that includes personal, holiday and volunteer paid time off * Flexible ...

BlackSky

Staff Engineer, AI

Herndon, VA · On-site

Partner with CV and MLOps to design and extend components needed to ensure models are trained ... Medical, dental, vision, disability, group term life and AD&D, voluntary life and AD&D insurance

BlackSky

Staff Engineer, AI

Herndon, VA · On-site +1

Partner with CV and MLOps to design and extend components needed to ensure models are trained ... Medical, dental, vision, disability, group term life and AD&D, voluntary life and AD&D insurance

Topline Pro

Senior AI Engineer

Boston, MA · On-site

$120 - $150/hr

Experience with end‑to‑end MLOps practices: monitoring, deployment, and evaluation * Experience ... Unlimited vacation, 9 company holidays including election day, and 1 personal volunteer day a year

Voya Financial, Inc.

AI Principal Engineer

Boston, MA · On-site

$191.85 - $239.81/hr

Knowledge of model lifecycle management, MLOps, and production reliability practices ... Paid volunteer time -- 40 hours per calendar year. Equal Employment Opportunity Voya Financial is ...

BNY

AI Platform Production Engineer

Lake Mary, FL

Deep technical expertise in DevOps and MLOps foundations for large-scale AI platforms * Experience ... volunteer time, that can support you and your family through moments that matter. BNY is an Equal ...

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Volunteer Mlops Engineer information

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How much do volunteer mlops engineer jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for volunteer mlops engineer 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 key skills and qualifications needed to thrive as a volunteer MLOps engineer?

To thrive as a Volunteer MLOps Engineer, you need a solid background in machine learning, software engineering, and cloud computing, often supported by experience with data pipelines and deployment processes. Familiarity with tools and platforms such as Docker, Kubernetes, CI/CD pipelines, and cloud services like AWS or GCP is typically required, along with knowledge of version control systems. Strong collaboration, problem-solving skills, and the ability to communicate technical concepts clearly are valuable soft skills in this role. These skills and qualities are crucial for ensuring reliable, scalable, and efficient deployment of machine learning models in collaborative, often resource-constrained environments.

What is a volunteer MLOps engineer?

Volunteer MLOps Engineers are professionals who donate their time and expertise to manage and streamline the deployment, monitoring, and maintenance of machine learning models within organizations, typically nonprofits or open-source projects. They work on automating workflows, ensuring scalability, and maintaining the reliability of ML systems without monetary compensation. Their contributions help organizations leverage machine learning technologies efficiently while minimizing operational bottlenecks.

What is the difference between Volunteer Mlops Engineer vs Data Engineer?

AspectVolunteer Mlops EngineerData Engineer
Required CredentialsBasic understanding of MLOps tools, some experience with cloud platformsStrong SQL, ETL, and database skills, often with certifications in data management
Work EnvironmentNon-profit or open-source projects, remote or flexible settingsCorporate or enterprise data teams, often in office or hybrid setups
Industry UsageAI/ML projects, research, non-profit initiativesData infrastructure, analytics, business intelligence

Volunteer Mlops Engineers focus on deploying and maintaining machine learning models in a volunteer or non-profit context, often with less formal credentials. Data Engineers build and manage data pipelines and infrastructure, typically in corporate environments. While both roles involve working with data and cloud tools, Volunteer Mlops Engineers are more specialized in ML deployment, whereas Data Engineers focus on data architecture and processing.

What are some common challenges faced by volunteer MLOps engineers, and how can they be addressed?

Volunteer MLOps Engineers often encounter challenges related to limited resources, such as restricted access to cloud services or hardware, and working with diverse teams who may be spread across different time zones. Effective communication and leveraging open-source tools can help mitigate these issues. Collaborating closely with data scientists and developers, setting clear documentation standards, and prioritizing automation can streamline workflows even in a volunteer setting. Being proactive in seeking feedback and sharing best practices also helps foster a supportive and productive environment.
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Volunteer Mlops Engineer jobs near you
Infographic showing various Volunteer Mlops Engineer job openings in the United States as of August 2026, with employment types broken down into 92% Full Time, 2% Part Time, and 6% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $39,804 per year, or $19.1 per hour.

Staff Machine Learning Engineer

Averity

Manhattan, NY • On-site

$170K - $215K/yr

Full-time

Retirement

Re-posted 18 days ago

Job description

Staff Machine Learning Engineer - AI Products
Location: Hybrid in NYC (Bryant Park Office)
Salary Range: $170,000 - $215,000
A leading health and wellness technology company is searching for a Staff Machine Learning Engineer to help millions of people make smarter, healthier choices. If you're passionate about AI-driven personalization, recommendation systems, and search optimization, this is your chance to build the technology that powers AI for Millions.
What is the job?
  • Lead the design, development, and scaling of AI-powered recommendation systems for millions of users
  • Build robust ML models and MLOps pipelines that drive personalized insights
  • Partner with engineering, data science, and product teams to create next-level user experiences
  • Mentor and guide a team of top-tier ML engineers and data scientists
  • Work with cutting-edge tech like Python, Snowflake, Databricks, Kubernetes, AWS Ground Truth, and more

What skills do you need?
  • 7+ years of ML experience, with expertise in recommendation systems, search, NLP, LLMs, and deep learning
  • Proven track record of building scalable AI platforms used by millions
  • Mastery of Python, SQL, and ML algorithms
  • Experience leading high-performing teams in delivering AI-driven product features
  • A strategic thinker who brings business impact through AI innovation

+ Experience in Ad Tech
Perks & Benefits:
  • Competitive Salary & Bonus Structure - Earn up to $215k, annual performance bonuses + retirement match.
  • Flexibility Hybrid Work - Work from our beautiful Bryant Park office two days per week while enjoying the flexibility of remote work.
  • Work-Life Balance - Generous responsible time off policy - take the time you need.
  • Family Support - Paid maternity/paternity leave, fertility assistance and comprehensive benefits for growing families.
  • Wellness-First Culture - Monthly wellness allowances, mental health support, & access to our premium platform.
  • Professional Growth - Top-tier mentorship programs, career development training, and leadership opportunities.
  • Giving Back - Recognition programs + dedicated volunteer days to support causes you care about.
  • In-office Perks - Free lunches for hybrid employees and annual company-wide gathering to foster deeper connections.

Join us and shape the future of AI in health and wellness. Your work will impact millions, and your innovations will drive real change.
*Even if you don't meet 100% of the qualifications, we encourage you to apply.
Apply now and let's talk!

Apply