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Senior Machine Learning Engineer Jobs in West Virginia

SailPoint

Forward Deployed Engineer

Charleston, WV · Remote

By harnessing the power of AI and machine learning, SailPoint automates and streamlines the ... Forward Deployed Engineers(FDEs)at SailPoint embark on their journey by undergoing comprehensive ...

Surescripts

Principal AI Engineer

Charleston, WV · Hybrid

... senior engineering role with a focus on leading and mentoring engineers to deliver software products * 3+ years of hands-on machine learning / AI engineering experience * Proven experience ...

GDH

Data Governance Specialist

Kearneysville, WV · On-site

$63 - $68/hr

Role Summary A senior data scientist is responsible for leading the development and integration of ... machine learning models within enterprise data platforms. This position requires technical ...

GDIT

WV · On-site

$195K - $264K/yr

The Sr. Data Architect will be part of the CMM Data Modernization and Governance team responsible ... engineering, data platform, reporting, analytics, and Artificial Intelligence (AI)/Machine Learning ...

Mitre

Biometrics Engineer

Bridgeport, WV

In this role, you will apply your software engineering expertise to biometric application ... machine learning and statistical analysis. Experience in C/C++, C#, Java/J2EE development.

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All JobsMachine Learning Engineer JobsSenior Machine Learning Engineer JobsSenior Machine Learning Engineer Jobs in West Virginia

Senior Machine Learning Engineer information

See West Virginia salary details

$46.1K

$98K

$142.1K

How much do senior machine learning engineer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for senior machine learning engineer in West Virginia is $97,976.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,900.00 and $111,100.00 per year, depending on experience, location, and employer.

What are some common challenges senior machine learning engineers face when deploying models to production, and how can they be addressed?

Senior Machine Learning Engineers often encounter challenges related to model scalability, maintaining performance in real-world scenarios, and ensuring reliable integration with existing systems. Addressing these challenges typically involves thorough testing, implementing robust monitoring for model drift, and collaborating closely with DevOps and software engineering teams to streamline deployment pipelines. Staying updated on best practices in MLOps and adopting tools for automated deployment and monitoring can greatly improve the reliability and efficiency of production models.

What does a senior machine learning engineer do?

A Senior Machine Learning Engineer designs, develops, and implements machine learning models to solve complex problems. They are responsible for selecting appropriate algorithms, preprocessing data, and optimizing model performance. Additionally, they collaborate with data scientists, software engineers, and product teams to integrate machine learning solutions into production systems. Senior engineers also mentor junior team members and contribute to setting technical direction for machine learning projects.

What are the key skills and qualifications needed to thrive as a senior machine learning engineer, and why are they important?

To thrive as a Senior Machine Learning Engineer, you need advanced knowledge of machine learning algorithms, statistical modeling, and programming languages like Python or Java, typically supported by a degree in computer science or a related field. Experience with frameworks and tools such as TensorFlow, PyTorch, scikit-learn, and cloud platforms, as well as familiarity with version control and CI/CD systems, is essential. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior team members. These capabilities are crucial for designing scalable ML solutions and driving impactful results within complex, dynamic projects.

What is the difference between Senior Machine Learning Engineer vs Data Scientist?

AspectSenior Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models in production systemsAnalyzes data, builds models, and provides insights
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

While both roles require strong technical skills and knowledge of machine learning, Senior Machine Learning Engineers focus more on deploying scalable ML solutions in production environments, whereas Data Scientists primarily analyze data and develop models for insights. The roles often overlap but differ in their core responsibilities and focus areas.

What are the most commonly searched types of Machine Learning Engineer jobs in West Virginia? The most popular types of Machine Learning Engineer jobs in West Virginia are:
What are popular job titles related to Senior Machine Learning Engineer jobs in West Virginia? For Senior Machine Learning Engineer jobs in West Virginia, the most frequently searched job titles are:
What job categories do people searching Senior Machine Learning Engineer jobs in West Virginia look for? The top searched job categories for Senior Machine Learning Engineer jobs in West Virginia are:
What cities in West Virginia are hiring for Senior Machine Learning Engineer jobs? Cities in West Virginia with the most Senior Machine Learning Engineer job openings:
Senior Machine Learning Engineer jobs near you
Infographic showing various Senior Machine Learning Engineer job openings in West Virginia as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 23% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $97,976 per year, or $47.1 per hour.

Principal Engineer, Data & ML Infrastructure

Motional

Charleston, WV

$200K - $275K/yr

Full-time

Posted 6 days ago

Job description

Mission Summary:

We are seeking a highly skilled and motivated Principal Engineer, Technical Lead to lead our large-scale AI model and software evaluation framework – Ground Truth Regression. The ideal candidate will have a strong background in data engineering, machine learning principals and leadership, with experience in developing and deploying advanced data analysis and large scale orchestration frameworks.

At Motional, large scale orchestration for data analysis plays a critical role in delivering our ML-centered autonomous driving vehicle. Our robo-taxi ML Models and software are developed by hundreds of developers and deployed multiple times a day – The Ground Truth Regression team provides the large scale perception analysis framework for validating all changes to perception which can impact the autonomous vehicle behavior.

The GTRegression team validates the end impact of ML and software changes to the autonomous vehicle while those changes are in development, providing the tools for Root Cause Analysis, and safety consideration. We monitor for model errors, anomalies, rare objects & long-tail driving scenarios across thousands of driving hours. The team develops the full stack – AWS Kubernetes orchestration framework, ReSimulation, model metrics, regression reports, and deep dive analysis UI's. The team works together with all other perception and ML teams to develop the metrics and analyze results.

What You'll Do:

  • Lead a team of engineers with a diverse skill set to deliver critical software supporting the development of the autonomous vehicle ML models and software.
  • Drive innovation by researching and developing new large scale data warehousing and analysis.
  • Own large-scale data analysis workflows that surface unexpected impacts of planned and unplanned changes to the ML models and software.
  • Build high-quality datasets to improve ML products through training & edge case validation.
  • Provide statistical depth on model performance & generalization through rigorous error and change analysis.
  • Provide technical leadership and mentorship to the team, fostering a culture of collaboration and continuous improvement.
  • Manage project timelines, resources, and deliverables to ensure successful project execution.

What We're Looking For:

  • Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
  • Excellent leadership, communication, and problem-solving skills.
  • Proven record leading a small diverse dedicated team supporting a large user base.
  • Experience in machine learning, data mining, and statistical analysis.
  • Proven experience in developing and deploying large scale cloud frameworks.
  • Strong programming skills in Python.
  • Experience with large-scale data processing and distributed computing technologies.

Bonus Points:

  • Ph.D. in Computer Science or a related field.
  • Experience with cloud platforms such as AWS, Google Cloud, or Azure.
  • Experience with machine learning in the autonomous driving domain.
  • Publications or contributions to the AI/ML community.

The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.

Candidates for certain positions are eligible to participate in Motional's benefits program. Motional's benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more.

Salary Range
$200,000—$275,000 USD

Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more.

Our journey is always people first.

We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.

Higher purpose, greater impact.

We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do.

Scale up, not starting up.

Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.

Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube.

Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.