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Machine Learning Trainer Jobs in Washington (NOW HIRING)

Crowe LLP

Machine Learning Intern

Washington, DC

$27 - $42/hr

... training procedures to prevent common modeling errors Creating reasonable test scenarios and diagnostic measures Software Development Writing high quality Python (readable, reusable, modular, and ...

CACI

Machine Learning Engineer

Chantilly, VA · On-site

$131K - $290K/yr

Machine Learning Engineer Job Category: Information Technology Time Type: Full time Minimum ... Vector) to manage training data, model artifacts, and application state Containerize ML ...

TheIncLab

Senior Machine Learning Engineer

Mclean, VA · On-site

$105K - $145K/yr

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 ...

TheIncLab

Senior Machine Learning Engineer

Mclean, VA · On-site

$105K - $145K/yr

Data augmentation strategies for training robustness * Train, tune, and debug models, addressing ... Strong understanding of machine learning theory and fundamentals * Model selection and evaluation

TheIncLab

Senior Machine Learning Engineer

Mclean, VA · On-site

$105K - $145K/yr

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 ...

Capital One

Lead Machine Learning Engineer

Mclean, VA

$103K - $136K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... model training, hyperparameter tuning, dimensionality, bias/variance, and validation) * Solve ...

Capital One

Lead Machine Learning Engineer

Mclean, VA · On-site +1

$103K - $136K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... model training, hyperparameter tuning, dimensionality, bias/variance, and validation) * Solve ...

Capital One

Lead Machine Learning Engineer

Mclean, VA · On-site +1

$103K - $136K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... model training, hyperparameter tuning, dimensionality, bias/variance, and validation) * Solve ...

AeroVironment

Machine Learning Engineer III

Centreville, VA · On-site

$129K - $197K/yr

Other duties as assigned Basic Qualifications (Required Skills & Experience) * BS in Computer Vision and Machine Learning is required or equivalent combination of education, training, and experience ...

STR

Machine Learning Engineer

Arlington, VA · On-site

$115K - $140K/yr

The Role As a Machine Learning Engineer, you will help develop and integrate cutting-edge AI/ML ... training, key skills/critical skills, security clearances, and prevailing market and business ...

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Showing results 41-60

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 Sep 14, 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 is a machine learning trainer?

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.

What are the key skills and qualifications needed to thrive as a machine learning trainer?

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 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.

What are the most commonly searched types of Machine Learning Trainer jobs in Washington?

The most popular types of Machine Learning Trainer jobs in Washington are:

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:

What job categories do people searching Machine Learning Trainer jobs in Washington look for?

The top searched job categories for Machine Learning Trainer jobs in Washington are:

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
Infographic showing various Machine Learning Trainer job openings in Washington as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 73% Full Time, 22% Part Time, and 3% Contract. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution, with an average salary of $98,903 per year, or $47.5 per hour.

Machine Learning Engineer - Computer Vision

Arlington, VA • On-site

CaseGuard
Software Development • 11 - 50 employees
Learn more about CaseGuardexternal

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 5 days ago

Job description

We are seeking a highly skilled and motivated Machine Learning Engineer specializing in Computer Vision to join our team. The ideal candidate will have a strong background in developing and deploying machine learning models focused on image and video processing. You will work closely with cross-functional teams to design, implement, and optimize vision-based AI solutions to address real-world challenges.
Key Responsibilities:
  • Design, develop, and deploy computer vision models for tasks such as object detection, object tracking, video segmentation, and facial recognition.
  • Optimize and fine-tune deep learning algorithms for real-time performance.
  • Work closely with the software engineers and product teams to identify opportunities for leveraging data.
  • Collect, clean, and preprocess large datasets to prepare for model training and evaluation.
  • Evaluate and optimize machine learning models for accuracy, performance, and scalability.
  • Deploy models into production environments and monitor their performance to ensure reliability.
  • Stay up-to-date with the latest advancements in computer vision and artificial intelligence.
  • Collaborate with cross-functional teams to integrate machine learning solutions into business processes.
  • Document processes, models, and implementations to ensure reproducibility and scalability.

Required Qualifications:
  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
  • Experience in deep learning models, their training, and hyperparameter tuning using libraries such as TensorFlow, PyTorch, and Transformers or other Huggingface tools.
  • Experience with data manipulation tools such as Pandas, NumPy, and SQL.
  • Strong programming skills in Python and C++.
  • Experience in MLOps principles and model deployment and instrumentation on cloud platforms such as AWS, Azure, or Google Cloud for model deployment and knowledge with efficient serving tools such as ONNX, triton, and vllm.
  • Proficiency in working with image and video data, including preprocessing and augmentation techniques.
  • Strong understanding of machine learning algorithms, including supervised and unsupervised learning and deep learning.
  • Strong communication skills and the ability to work collaboratively in a team environment.

Great to have:
  • Familiarity with containerization and orchestration tools like Docker and Kubernetes.
  • Experience with version control systems such as Git.
  • Understanding software engineering best practices, including code review, testing, and documentation.
  • Experience with Large Language Models (LLMs) is a great plus.
  • Experience with data annotation tools and processes.

Benefits:
  • Competitive Salary
  • Stock Option
  • Medical, Dental, and Vision Insurance
  • 401K
  • Paid Vacation
  • Ten paid holidays per year
  • Friendly and Learning environment

About CaseGuard
CaseGuard is a software company that helps law enforcement agencies, federal agencies, hospitals, schools, airports, and others manage all their media redaction needs in one easy-to-use redaction software. CaseGuard Studio is one of a kind. Our team is driven by a passion for great software design, creating great products, and creative processes; CaseGuard implements innovative ideas across multiple services and agencies. We invest in people. We nurture skills consistent with our values and our future strategy. Our passionate pursuit of excellence, the application of our creativity to solve our clients' challenges, our technical expertise, and our collaborative spirit are measures of our success.

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