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Machine Learning Trainer Jobs in Washington (NOW HIRING)

10a Labs

Machine Learning Engineer

Washington, DC · On-site +1

$130K - $200K/yr

We are seeking a Machine Learning Engineer (3-5+ years of experience) to help design, build ... training, evaluation, deployment, and monitoring. You will work both independently and ...

10a Labs

Machine Learning Engineer

Washington, DC · On-site

$130K - $200K/yr

Experience training, fine-tuning, evaluating, and deploying machine learning models in production ... environments. * Experience designing evaluation methodologies, benchmarking systems, and model ...

Spear AI

Machine Learning Engineer

Washington, DC · On-site +1

Build and maintain ML pipelines for training, evaluation, and inference * Integrate machine learning models into real-time and batch processing systems * Optimize model performance for accuracy ...

Somatus, Inc.

Machine Learning Engineer

Mclean, VA · On-site

$105K - $115K/yr

As a Machine Learning Engineer at Somatus, you will work collaboratively with our data and ... Build pipelines for training, evaluating, and deploying models. * Perform exploratory data analysis ...

Kitware

Machine Learning Engineer

Arlington, VA · On-site

$110K - $160K/yr

Machine learning experience using visual data * Understanding of a variety of machine learning ... Experience curating quality, real-world datasets for training deep learning models * Proficiency in ...

Kitware

Machine Learning Engineer

Arlington, VA · Hybrid

$110K - $160K/yr

Machine learning experience using visual data * Understanding of a variety of machine learning ... Experience curating quality, real-world datasets for training deep learning models * Proficiency in ...

Kitware

Machine Learning Engineer

Arlington, VA · Hybrid

$110K - $160K/yr

Machine learning experience using visual data * Understanding of a variety of machine learning ... Experience curating quality, real-world datasets for training deep learning models * Proficiency in ...

System One

Machine Learning/AI Engineer

Merrifield, VA · Remote

Responsibilities • Build and enhance machine learning models through all phases of development including design, training, validation, and implementation etc. • Unlock insights by analyzing large ...

System One

Machine Learning/AI Engineer

Merrifield, VA · Remote

Responsibilities • Build and enhance machine learning models through all phases of development including design, training, validation, and implementation etc. • Unlock insights by analyzing large ...

System One

Machine Learning/AI Engineer

Merrifield, VA · Remote

Responsibilities • Build and enhance machine learning models through all phases of development including design, training, validation, and implementation etc. • Unlock insights by analyzing large ...

Geico

Machine Learning Engineer II

Bethesda, MD · Hybrid

$105K - $215K/yr

Leverage expertise in machine learning, software engineering, and system architecture to ... You'll have access to industry leading training, certification assistance, career mentorship and ...

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All JobsMachine Learning Trainer JobsMachine Learning Trainer Jobs in Washington

Machine Learning Trainer information

See Washington salary details

$31.7K

$98.9K

$127.4K

How much do machine learning trainer jobs pay per year?

As of Jul 13, 2026, the average yearly pay for machine learning trainer in Washington is $98,903.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,000.00 and $125,700.00 per year, depending on experience, location, and employer.

What are the typical challenges faced by a Machine Learning Trainer in the workplace?

Machine Learning Trainers often encounter the challenge of explaining complex algorithms and abstract mathematical concepts to learners with varying levels of expertise. Adapting course materials to suit different learning styles and staying current with the latest advancements in machine learning require continuous self-development. Trainers may also need to collaborate closely with data scientists, engineers, and curriculum developers to ensure their training aligns with real-world applications. Overcoming these challenges not only enhances teaching effectiveness but also contributes to the overall growth of both trainers and their learners.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and maintain AI systems, and their role involves understanding algorithms, data preprocessing, and model deployment. While AI automation tools can handle certain tasks, MLEs are essential for creating, optimizing, and troubleshooting complex models, making complete replacement unlikely in the near term.

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

To thrive as a Machine Learning Trainer, you need a solid background in computer science, statistics, and machine learning concepts, often supported by relevant academic degrees and industry experience. Familiarity with programming languages like Python, frameworks such as TensorFlow or PyTorch, and certifications like TensorFlow Developer or AWS Machine Learning are valuable assets. Excellent communication, patience, and adaptability allow trainers to effectively convey complex concepts to diverse learners. These skills ensure effective teaching, learner engagement, and successful knowledge transfer in a rapidly evolving technological landscape.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning engineer or AI research director, often requiring advanced skills in deep learning, data analysis, and programming. These roles usually involve leadership, strategic planning, and may require extensive experience, advanced degrees, and knowledge of tools like TensorFlow or PyTorch.

What is the salary of machine learning trainer?

The salary of a machine learning trainer varies depending on experience, location, and industry, but typically ranges from $70,000 to $130,000 annually. Professionals with advanced skills in programming, data analysis, and deep learning tools like Python, TensorFlow, or PyTorch tend to earn higher salaries.

What is a Machine Learning Trainer job?

A Machine Learning Trainer is responsible for preparing and curating datasets, fine-tuning machine learning models, and optimizing algorithms for accuracy and efficiency. They work closely with data scientists and engineers to improve model performance and ensure high-quality training data. This role involves tasks like labeling data, selecting features, and implementing preprocessing techniques. Additionally, they may develop training methodologies and evaluate models using various metrics to enhance their effectiveness.

How much money do AI trainers make?

AI trainers, often considered a type of machine learning trainer, typically earn salaries ranging from $60,000 to $120,000 annually, depending on experience, location, and industry. Entry-level positions may start lower, while experienced professionals with specialized skills in data annotation, model tuning, and relevant tools can earn higher wages.
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What are popular job titles related to Machine Learning Trainer jobs in Washington? For Machine Learning Trainer jobs in Washington, the most frequently searched job titles are:
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What cities in Washington are hiring for Machine Learning Trainer jobs? Cities in Washington with the most Machine Learning Trainer job openings:
Machine Learning Trainer jobs near you
Machine Learning Engineer

Machine Learning Engineer

Dark Wolf Solutions

Chantilly, VA • On-site

Full-time

Re-posted 15 hours ago

Job description

Dark Wolf constructs and deploys data management and analytics solutions for the defense and intelligence communities. We're proud to boast a world-class engineering team that thrives on rolling up their sleeves to solve your mission's biggest challenges.

Dark Wolf is seeking a highly motivated and self-directed professional to fill the role of Machine Learning (ML) Engineer to support our team in Northern Virginia.

Responsibilities:

  • Design, develop, and implement machine learning models and algorithms to solve specific business problems.
  • Build and maintain scalable and robust machine learning pipelines for data ingestion, preprocessing, feature engineering, model training, evaluation, and deployment.
  • Transform machine learning models into deployable APIs and integrate them with existing applications and infrastructure.
  • Collaborate closely with data scientists, software engineers, and product managers to understand requirements and translate them into practical ML solutions.
  • Experiment with different machine learning techniques and algorithms to identify the most effective approaches for given problems.
  • Evaluate model performance using appropriate metrics and iterate on models to improve accuracy, efficiency, and scalability.
  • Monitor and maintain deployed models, ensuring their reliability and performance in production environments.
  • Troubleshoot and resolve issues related to machine learning models and pipelines.
  • Stay up-to-date with the latest advancements in machine learning, deep learning, and related fields.
  • Contribute to the development of best practices and standards for machine learning development and deployment within the team.
  • Document machine learning models, experiments, and deployment processes.
  • Potentially work with large datasets and big data technologies.
  • Optimize machine learning models for performance and efficiency.

Qualifications:

  • Master's in computer science, Machine Learning, or higher level degree is preferred with of 3+ years of related industry experience in Machine Learning, Computer Science, Data Science or related fields.
  • Demonstrated hands-on experience in developing and deploying machine learning models in a production environment.
  • Strong programming skills in Python and experience with relevant machine learning libraries and frameworks such as TensorFlow, Keras, PyTorch, scikit-learn, etc.
  • Solid understanding of machine learning algorithms (e.g., regression, classification, clusting, dimensionality reduction, deep learning architectures).
  • Experience with data preprocessing, feature engineering, and data visualization techniques.
  • Familiarity with data storage and processing technologies (e.g., SQL, NoSQL databases, Spark, Hadoop).
  • Experience with cloud platforms (e.g., AWS, Azure, GCP) and their machine learning services.
  • Understanding of software development principles, version control (e.g., Git), and CI/CD pipelines.
  • Strong analytical and problem-solving skills with the ability to interpret data and draw meaningful conclusions.
  • Excellent communication and collaboration skills to effectively communicate technical concepts to both technical and non-technical audiences.

Preferred Skills:

  • Experience with specific areas of machine learning such as Natural Language Processing (NLP), Computer Vision, or Recommender Systems.
  • Experience with MLOps practices and tools for automating and monitoring machine learning workflows.
  • Knowledge of containerization technologies like Docker and orchestration tools like Kubernetes.
  • Experience with building and deploying RESTful APIs.
  • Familiarity with big data technologies and distributed computing.
  • Experience with statistical modeling and inference.

Position Clearance Requirement:

TS/SCI with Full-Scope Polygraph

This position is located in Chantilly/Herndon, VA.

We are proud to be an EEO/AA employer Minorities/Women/Veterans/Disabled and other protected categories.
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.