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Volunteer Machine Learning Jobs in Washington (NOW HIRING)

TheIncLab

Senior Machine Learning Engineer

Mclean, VA · On-site

$105.60K - $145.10K/yr

We are looking for a Senior Machine Learning Engineer to that will focus on researching, designing ... Paid time off and Paid volunteer time * Health and Wellness Benefits includdical, Dental, and ...

TheIncLab

Senior Machine Learning Engineer

Mclean, VA · On-site

$105.60K - $145.10K/yr

Your Mission, Should You Choose to Accept As a Machine Learning Engineer, you will research ... Paid time off and Paid volunteer time * Health and Wellness Benefits includdical, Dental, and ...

TheIncLab

Senior Machine Learning Engineer

Mclean, VA

$105.60K - $145.10K/yr

We are looking for a Senior Machine Learning Engineer to that will focus on researching, designing ... Paid time off and Paid volunteer time * Health and Wellness Benefits includdical, Dental, and ...

Pcaobus

Chief Learning Officer

Washington, DC

$222.40K - $348.48K/yr

Well-being and family resources - Mental health and well-being resources, paid volunteer time ... Strong understanding of AI concepts, including machine learning, generative AI, and related data ...

InterImage

2906 AI Engineer

Annapolis, MD · On-site

Develop, train, and evaluate a variety of machine learning models, ensuring they meet performance ... additional voluntary life insurance available #CJ Clearance Level: TS/SCI FSP Job Location:

Interclypse Inc.

Data Scientist

Annapolis Junction, MD · On-site

Proficient in SQL, Python, R, or related programming and experience with machine learning libraries ... Access to group rates for voluntary benefits such as Accident, Hospital Indemnity, Critical Illness ...

Interclypse Inc.

Data Scientist

Annapolis, MD · On-site

Proficient in SQL, Python, R, or related programming and experience with machine learning libraries ... Access to group rates for voluntary benefits such as Accident, Hospital Indemnity, Critical Illness ...

Interclypse, Inc.

Data Scientist

Annapolis Junction, MD · On-site

Proficient in SQL, Python, R, or related programming and experience with machine learning libraries ... Access to group rates for voluntary benefits such as Accident, Hospital Indemnity, Critical Illness ...

United Educators

Data Scientist

Bethesda, MD · On-site +1

This role requires someone who understands both the how and why of machine learning and statistical ... Voluntary coverage * Short- and Long-Term Disability Insurance - We offer coverage in the event ...

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How much do volunteer machine learning jobs pay per hour?

As of May 29, 2026, the average hourly pay for volunteer machine learning in Washington is $21.67, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $22.88 per hour, depending on experience, location, and employer.

What is a Volunteer Machine Learning job?

A Volunteer Machine Learning job involves contributing to machine learning projects without monetary compensation, often for nonprofits, open-source initiatives, or research. Volunteers may help with data preprocessing, model training, evaluation, or deployment. It’s a great opportunity to gain hands-on experience, collaborate with professionals, and apply ML skills to meaningful causes.

What are the key skills and qualifications needed to thrive in the Volunteer Machine Learning position, and why are they important?

To thrive as a Volunteer Machine Learning professional, you need a solid understanding of machine learning concepts, data analysis, and basic programming skills, typically demonstrated through coursework, personal projects, or relevant certifications. Familiarity with tools such as Python, TensorFlow, scikit-learn, and collaborative platforms like GitHub is often expected. Strong communication, collaboration, and adaptability are vital for contributing effectively within diverse volunteer teams. These skills and qualities enable volunteers to make meaningful technical contributions while supporting the goals of nonprofit or research-focused projects.

What types of projects or tasks can I expect to work on as a Volunteer Machine Learning contributor?

As a Volunteer Machine Learning contributor, you may work on a wide variety of tasks such as preparing and cleaning datasets, developing or enhancing machine learning models, conducting data analysis, and documenting results for open-source or nonprofit initiatives. Projects can range from building predictive models for social impact organizations to supporting data-driven research or assisting with educational outreach. You’ll typically collaborate remotely with other volunteers, data scientists, and project managers, often using shared code repositories and communication tools. This role provides valuable hands-on experience and networking opportunities within the growing field of machine learning.
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Volunteer Machine Learning jobs near you
Senior Machine Learning Engineer

Senior Machine Learning Engineer

TheIncLab

Mclean, VA • On-site

$105.60K - $145.10K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago

Job description

The Mission Starts Here
TheIncLab engineers and delivers intelligent digital applications and platforms that revolutionize how our customers and mission-critical teams achieve success.
We are where innovation meets purpose; and where your career can meet purpose as well. We are looking for a Senior Machine Learning Engineer to that will focus on researching, designing, training, and evaluating machine learning models to solve complex, real-world problems. We encourage you to apply and take the first step in joining our dynamic and impactful company.
Your Mission, Should You Choose to Accept
As a Machine Learning Engineer, you will research, evaluate, and select appropriate machine Learning approaches and architectures based on the problem definition.
What will you do?
  • Research, evaluate, and select appropriate machine learning approaches and architectures based on the problem definition
  • Supervised, unsupervised, and reinforcement learning
  • Neural networks, decision trees, ensemble methods
  • Transformer-based models, adversarial networks, genetic algorithms
  • Retrieval-Augmented Generation (RAG) where appropriate
  • Design and implement machine learning models using frameworks such as PyTorch, TensorFlow, or equivalent
  • Formulate and solve optimization problems using ML techniques
  • Pathfinding and routing
  • Combinatorial and constraint-based optimization Heuristic and learning-based optimization approaches
  • Own data pipelines for ML systems
  • Data validation and quality checks
  • Feature engineering and preprocessing
  • Data augmentation strategies for training robustness
  • Train, tune, and debug models, addressing issues such as overfitting, instability, bias, and performance degradation
  • Define and apply appropriate evaluation metrics, analyze results and iteratively improve model performance
  • For transformer-based systems
  • Optimize context window usage Manage token budgets, chunking strategies, and retrieval mechanisms
  • Balance performance, accuracy, and computational cost
  • Integrate ML models and data pipelines into production systems
  • Make technical decisions and provide architectural guidance for ML systems
  • Document experiments, results, and design decisions using tools such as Git, Jira, and Confluence
  • Mentor junior engineers and guide best practices in ML development Stay current with emerging ML research, tools, and techniques
  • Ability to travel up to 20%

Requirements
Capabilities that will enable your success
  • Bachelor's degree in Computer Science, Engineering, Applied Mathematics, or a related field
  • 7+ years of professional experience, including significant hands-on machine learning development
  • Strong understanding of machine learning theory and fundamentals
  • Model selection and evaluation
  • Bias/variance tradeoffs
  • Optimization and loss functions
  • Demonstrated experience training and evaluating models using frameworks such as PyTorch or TensorFlow
  • Experience building and maintaining end-to-end ML pipelines
  • Strong programming skills in Python (additional languages are a plus)
  • Experience working with real-world, imperfect datasets
  • Ability to explain model behavior, tradeoffs, and limitations to both technical and non-technical stakeholders
  • Strong grasp of software engineering best practices and system design

Preferred Qualifications
  • Experience with deep learning architectures (CNNs, RNNs, Transformers)
  • Experience applying ML to optimization, planning, or decision-making problems
  • Familiarity with distributed training or large-scale data processing
  • Experience with experiment tracking tools (e.g., MLflow, Weights & Biases)
  • Experience deploying ML models into production (batch or real-time inference) Background in research-driven or R&D-focused engineering environments

Clearance Requirements
Applicants must be a U.S. Citizen and willing and eligible to obtain a U.S. Security Clearance at the Secret or Top-Secret level. Existing clearance is preferred.
Benefits
At TheIncLab we recognize that innovation thrives when employees are provided with ample support and resources. Our benefits packages reflect that:
  • Hybrid and flexible work schedules
  • Professional development programs
  • Training and certification reimbursement e options for Me
  • Extended and floating holiday schedule
  • Paid time off and Paid volunteer time
  • Health and Wellness Benefits includdical, Dental, and Vision insurance along with access to Wellness, Mental Health, and Employee Assistance Programs.
  • 100% Company Paid Benefits that include STD, LTD, and Basic Life insurance.
  • 401(k) Plan Options with employer matching Incentive bonuses for eligible clearances, performance, and employee referrals.
  • A company culture that values your individual strengths, career goals, and contributions to the team

About TheIncLab
Founded in 2015, TheIncLab ("TIL") is the first human-centered artificial intelligence (AI+X) lab. We engineer complex, integrated solutions that combine cutting-edge AI technologies with emerging systems-of-systems to solve some of the most difficult challenges in the defense and aerospace industries. Our work spans diverse technological landscapes, from rapid ideation and prototyping to deployment.
At TIL, we foster a culture of relentless optimism. No problem is too hard, no project is too big, and no challenge is too complex to tackle. This is possible due to the positive attitude of our teams. We approach every problem with a "yes" attitude and focus on results. Our motto, "demo or die," encompasses the idea that failure is not an option.
We do all of this with a work ethic rooted in kindness and professionalism. The positive attitude of our teams is only possible due to the support TIL provides to each individual.
At TIL, we believe that every challenge is an opportunity for growth and innovation. Our teams are encouraged to think outside the box and come up with creative solutions to complex problems. We understand that the path to success is not always straightforward, but we are committed to persevering and finding a way forward.
Our culture of relentless optimism is not just about having a positive attitude; it is about taking action and making things happen. We believe in the power of collaboration and teamwork, and we know that by working together, we can achieve great things. Our teams are made up of individuals who are passionate about their work and dedicated to making a difference.
Learn more about TheIncLab and our job opportunities at www.theinclab.com.
*Salary range guidance provided is not a guarantee of compensation. Offers of employment may be at a salary range that is outside of this range and will be based on qualifications, experience, and possible contractual requirements.
*This is a direct hire position, and we do not accept resumes from third-party recruiters or agencies.

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