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Volunteer Mlops Engineer Jobs (NOW HIRING)

Senior Data Engineer

New York, NY · Remote

$146K - $180K/yr

MLOps Implementation * Develop and maintain MLOps pipelines that automate the deployment ... HSA/ FSA * 401k Retirement Savings Program with matching up to 4% * Voluntary benefits including ...

Senior Data Engineer

Manhattan, NY · On-site

$146K - $180K/yr

MLOps Implementation * Develop and maintain MLOps pipelines that automate the deployment ... HSA/ FSA * 401k Retirement Savings Program with matching up to 4% * Voluntary benefits including ...

Sr. AI Engineer

Iowa, LA · On-site +1

$130K - $170K/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 ...

Engineer II - Machine Learning

Clearwater, FL · On-site

$101K - $121K/yr

... and establish MLOps/LLMOps practices so models deliver measurable business impact at scale ... Able to take action beyond what is required and volunteers to take on new assignments; Able to ...

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 ...

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 ...

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 ...

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 ...

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 ...

Showing results 41-60

Volunteer Mlops Engineer information

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$8

$19

$33

How much do volunteer mlops engineer jobs pay per hour?

As of Sep 9, 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 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 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 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.

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.

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The most popular types of Mlops Engineer jobs are:

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For Volunteer Mlops Engineer jobs, the most frequently searched job titles are:

Infographic showing various Volunteer Mlops Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 92% Full Time, 3% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $39,804 per year, or $19.1 per hour.

Senior Data Engineer

New York, NY • Remote

Talkspace
Health Care and Social Assistance • 51 - 200 employees

$146K - $180K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 25 days ago


Key responsibilities

  • Design, develop, and maintain scalable, high-performance data architectures and models for batch and streaming data processing.

  • Oversee and optimize ETL/ELT processes, manage database systems, and ensure data solutions meet business needs.

  • Lead efforts to improve data engineering workflows, adopt industry best practices, and develop MLOps pipelines for machine learning models.


Job description

At Talkspace, we are committed to fostering a diverse, equitable, inclusive, and belonging-centered workplace where everyone can thrive while making a difference in mental health. Want to help over two million people receive quality mental healthcare? Come join our mission of getting therapy in the hands of everyone!

We are looking for a Senior Data Engineer to join our Data Science team. The Senior Data Engineer will lead the design and development of scalable, high-performance data architectures and models for both batch and streaming data processing. This person will define and execute a strategic Data Engineering Roadmap that maximizes the value of the organization's data assets and ensures alignment with long-term business goals. This involves managing ETL/ELT processes, optimizing database systems for performance and scalability, and driving continuous improvement in data engineering workflows. The Senior Data Engineer also collaborates with cross-functional teams to ensure that data solutions meet business needs and support data-driven decision-making across the organization.

This position is EST-based. Talkspace is headquartered in NYC.

What You'll Do

  • Data Architecture and Modeling
    • Lead the design, development, and maintenance of scalable and high-performance data architectures and models that support both batch and streaming data processing.
    • Define and drive the execution of a strategic Data Engineering Roadmap that unlocks the full potential of the organization's data assets, ensuring alignment with long-term business objectives.
    • Own, enhance, and evolve critical datasets, including high-leverage streaming and batch data pipelines, along with the development of advanced data discovery, search experiences, and enterprise-wide reporting and data visualization tools.
  • Database Processing and Management
    • Oversee complex data extraction, transformation, and loading (ETL/ELT) processes from diverse sources, driving critical analyses, manipulating large datasets.
    • Spearhead the administration, tuning, and optimization of database systems to ensure robust performance, reliability, and scalability, with a focus on both existing and emerging data technologies
  • Continuous Improvement
    • Lead efforts to identify inefficiencies and potential areas for optimization in current data engineering processes, workflows, and technologies.
    • Drive the adoption of industry-leading best practices and cutting-edge tools to enhance operational efficiency, reduce technical debt, and scale data engineering capabilities across the organization.
  • MLOps Implementation
    • Develop and maintain MLOps pipelines that automate the deployment, monitoring, and management of machine learning models in production.
  • Perform other related duties as assigned.

About You 

  • BA/BS in Computer Science, Data Engineering, or a related field, or equivalent professional experience. Advanced degree preferred.
  • 4-6 years of experience in data engineering or related roles, with a strong track record of manipulating and managing large datasets using Python, AWS, and SQL.
  • Proven experience in designing, building, and optimizing data warehouses (Redshift) and strong expertise in data warehouse design and dimensional modeling.
  • Extensive experience with ETL/ELT processes and tools, particularly Airflow and DBT, for orchestrating complex data pipelines.
  • Proficiency in Infrastructure as Code tool AWS CDK for managing cloud infrastructure and automating deployments.
  • Demonstrate ability to solve complex data challenges and deliver scalable data solutions in a fast-paced, evolving environment.
  • Strong analytical and problem-solving skills, with a focus on optimizing data processes for performance and efficiency.
  • Demonstrated experience in managing Google Looker.
  • Familiarity with Circle CI / Airflow or similar tools.

Benefits 

  • Comprehensive Medical, Dental and Vision plans coverage since day one
  • Pre-tax benefits: HSA/ FSA
  • 401k Retirement Savings Program with matching up to 4%
  • Voluntary benefits including disability, basic life or pet insurance, etc.
  • Monthly Wellness Stipend to promote mental and physical self-care
  • Flexible PTO and Remote First Environment
  • Regular team events, including Wellness Workshops and Team Building Events
  • Free access to Talkspace products for you and one household member, as well as access to a friends and family discount! 

Compensation

At Talkspace, we believe that pay transparency during the interview process is a critical part of diversity, equity, and inclusion. Our salary bands are based on internal and external compensation benchmarks, which we regularly evaluate to ensure we pay competitively.

The base salary range for this role is between $146,000 - $180,000. Within the salary bands, leveling corresponds to each candidate's relevant experience, skills as assessed during the interview process, education, and applicable certifications. 

Why Talkspace? 

Talkspace is the world's leading online therapy company, serving over 2 million users looking to begin their wellness journey through tele-health. According to the World Health Organization, close to 1 billion people worldwide live with a mental disorder, and on average more than 75% with mental, neurological, and substance use disorders receive no treatment for their condition at all. Additionally, one-third of the world's population - 2 billion people - live in countries that spend less than 1% of their health budgets on mental health. Therapy is an universal need and it's our mission here to change the world by cultivating an intentional space for people to feel supported through quality care that is simple and accessible.

Combining our passion for innovation along with our desire to help others overcome the stigma behind "getting help," we are transforming the way patients find the right care provider, making an otherwise impossible feat easily conquerable. Our network of licensed, accredited, and board-certified clinicians are increasing access to mental health for our members through a myriad of high quality therapy services: anytime and for a fraction of the price. Dedicated to our mission, we are looking for candidates that want to bring their talents into a diverse  "for purpose" space. If you're equally as passionate about making quality mental healthcare accessible to all then Talkspace is the right place for you!

EQUAL OPPORTUNITY EMPLOYER

Talkspace welcomes and celebrates talent from all backgrounds, perspectives, and walks of life to foster an innovative and diverse workforce. We encourage you to apply, even if you don't meet every qualification or if your path has been nontraditional - such as not completing a formal degree program, taking a career break, or having a prior criminal record - if you believe you could make a great addition to this team. Come as you are and learn about the exciting opportunities on our team.

Individuals seeking employment at Talkspace are considered without regard to race, color, religious creed, sex, national origin, citizenship status, age, physical or mental disability, sexual orientation, marital, parental, veteran or military status, unfavorable military discharge, or any other status protected by applicable federal, state or local law.

How do we define Diversity, Equity, Inclusion, and Belonging at Talkspace? 

Diversity

Diversity encompasses the unique attributes of our employees as individuals. We value and embrace the richness arising from their varied backgrounds, perspectives, and experiences, which include, but are not limited to, age, ability, ethnicity, gender, race, and cultural background.

Equity

Equity refers to a fair and impartial workplace, aiming to ensure equal growth and advancement opportunities for all employees. This involves amplifying underrepresented voices, addressing unconscious biases, and providing inclusive, culturally competent mental health care.

Inclusion

Inclusion signifies the practice of granting equal access to opportunities and resources for all employees, particularly those who might otherwise be excluded or marginalized. It ensures that everyone feels a sense of belonging, value, support, and respect as an individual.

Belonging

Belonging reflects the affinity and positive relationships that develop among employees from diverse backgrounds when businesses actively promote diversity, equity, and inclusion in the workplace.


Talkspace logo

About Talkspace

Sourced by ZipRecruiter

Our mission at Talkspace is to make therapy affordable and accessible to everyone. To get there, we need exceptionally talented, bright, and driven people. Want to help over one million people feel better? Come join our team!

Industry

Health care and social assistance

Company size

51 - 200 Employees

Headquarters location

New York, NY, US

Year founded

2011