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Overnight Volunteer Machine Learning Jobs (NOW HIRING)

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 ...

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 ...

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 ...

Senior Machine Learning Engineer

Nashville, TN

$100.90K - $138.60K/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 ...

Senior Machine Learning Engineer

Austin, TX · On-site

$121.40K - $160.10K/yr

We use Machine Learning, Reinforcement Learning, AI, Control and Optimization Systems and Auction ... Local benefits include statutory and voluntary benefits which may include healthcare (medical ...

Senior Machine Learning Engineer

Austin, TX · On-site +1

$121.40K - $160K/yr

We use Machine Learning, Reinforcement Learning, AI, Control and Optimization Systems and Auction ... Local benefits include statutory and voluntary benefits which may include healthcare (medical ...

Senior Machine Learning Engineer

San Jose, CA · On-site

$148.75K - $361K/yr

We use Machine Learning, Reinforcement Learning, AI, Control and Optimization Systems and Auction ... Local benefits include statutory and voluntary benefits which may include healthcare (medical ...

Staff SW Engineer, Machine Learning About Us: BlackSky is a real-time intelligence company. We own ... Medical, dental, vision, disability, group term life and AD&D, voluntary life and AD&D insurance

Machine Learning Engineer Specializing In Ai Watershed is the enterprise sustainability platform ... Martens use Watershed to manage climate and ESG data, produce audit-ready metrics for voluntary and ...

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Showing results 1-20

Overnight Volunteer Machine Learning information

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

As of Jun 4, 2026, the average hourly pay for overnight 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:
Infographic showing various Overnight Volunteer Machine Learning job openings in the United States as of May 2026, with employment types broken down into 80% Full Time, 17% Part Time, and 3% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $39,804 per year, or $19.1 per hour.
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 14 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.