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Senior Machine Learning Engineer Jobs in Charleston, WV

Bjak

Senior Machine Learning Engineer

Charleston, WV · Remote

$107K - $146K/yr

Role As a Senior Member of Technical Staff, Machine Learning, you are an independent owner of ... Collaborate closely with research, product, and engineering to deliver real user impact. * Mentor ...

Bespoke Labs

Machine Learning Engineer

Charleston, WV · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bjak

Staff Machine Learning Engineer

Charleston, WV · Remote

Role As Technical Lead, Machine Learning, you own the execution layer of A1's intelligence. You ... Collaborate closely with application engineering to integrate ML systems cleanly into backend ...

LTS

Senior Applied AI Engineer

Charleston, WV · Remote

$113K - $149K/yr

... highly skilled Senior Applied AI Engineer to focus on continuously improving the intelligence ... Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, Software ...

Bjak

Technical Lead, Machine Learning

Charleston, WV · Remote

Role As Technical Lead, Machine Learning, you own the execution layer of A1's intelligence. You ... Collaborate closely with application engineering to integrate ML systems cleanly into backend ...

SailPoint

Senior Staff DevOps Engineer

Charleston, WV · Remote

$120K - $154K/yr

Built on a foundation of AI and machine learning, our Identity Security Cloud (Atlas) platform ... About the Role As a Senior Staff DevOps Engineer on the Infrastructure Platform team, you will be a ...

Lyra Health

Sr. ML Engineer (MLOps)

Charleston, WV · Remote

$143K - $197K/yr

Build services that expose machine learning and AI based products * Deploy and manage various ... Sr. ML Engineer (MLOps), you will be employed by Lyra Health, Inc. The anticipated annual base ...

New

Bellese

Senior Data Scientist

Charleston, WV · Remote

$97K - $124K/yr

We do this through HCD and Service design practices, product thinking, and skilled engineering. At ... Ability to work with machine learning frameworks, such as TensorflowWork in an agile environment ...

Lyra Health

VP of Data and AI

Charleston, WV · Remote

$251K - $346K/yr

Required Experience * 10+ years of progressive experience in AI, machine learning, data science, data engineering, or a related field, with 5+ years in a senior leadership role (Sr Director, VP) ...

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All JobsMachine Learning Engineer JobsSenior Machine Learning Engineer JobsSenior Machine Learning Engineer Jobs in Charleston, WV

Senior Machine Learning Engineer information

See Charleston, WV salary details

$57.9K

$123.2K

$178.7K

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

As of Aug 11, 2026, the average yearly pay for senior machine learning engineer in Charleston, WV is $123,217.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,700.00 and $139,700.00 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 Charleston, WV? The most popular types of Machine Learning Engineer jobs in Charleston, WV are:
What are popular job titles related to Senior Machine Learning Engineer jobs in Charleston, WV? For Senior Machine Learning Engineer jobs in Charleston, WV, the most frequently searched job titles are:
Senior Machine Learning Engineer jobs near you
Infographic showing various Senior Machine Learning Engineer job openings in Charleston, WV 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 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $123,217 per year, or $59.2 per hour.

Senior Machine Learning Engineer

Bjak

Charleston, WV • Remote

$107K - $146K/yr

Full-time

Re-posted 17 days ago

Job description

About A1

There are over 5 billion users using basic applications today such email, notes, tasks that are not AI-native. Our mission is to build a proactive smart assistant for everyday users to bring intelligence to conversations, errands, organising and workflows, with minimal prompting.

Our product focuses on achieving high reliability for long-running workflows, persistent context, and real-world task completion. The system must handle multi-step reasoning, interact with external tools, and remain reliable despite non-deterministic model behavior. Our objective is to help users complete tasks daily enjoyable with over ~90%* reduced time.

 
Role

As a Senior Member of Technical Staff, Machine Learning, you are an independent owner of critical ML subsystems in production. You take ambiguous problems, design practical solutions, and ship systems that operate reliably at scale.

This is a hands-on, high-impact role focused on depth.

Focus

  • Build core ML systems that power a proactive, long-horizon AI product.

  • Own work end-to-end: data preparation, training, evaluation, inference, and iteration.

  • Turn research ideas into working systems that run reliably in production.

  • Debug model failures and system issues using real production signals.

  • Iterate quickly: ship, measure outcomes, refine, and repeat.

  • Collaborate closely with research, product, and engineering to deliver real user impact.

  • Mentor and review work from other ML engineers through example and technical judgment.

  • Work under real production constraints: latency, cost, reliability, and safety

Tech Stack

  • Python

  • PyTorch / JAX

  • GPU-based training and inference systems

Ideal Experience

  • You have built and shipped ML systems used by real users.

  • You understand how modern ML models behave — and misbehave — in production.

  • You write strong, production-quality code and think in systems, not scripts.

  • You take ownership, work independently, and push work across the finish line.

  • You learn fast, communicate clearly, and improve through iteration.

Outcomes

  • ML models and systems in production consistently meet accuracy, latency, reliability, and efficiency targets.

  • Complex production issues are monitored, debugged, and resolved with minimal disruption.

  • Training, inference, and data pipelines are robust, scalable, and maintainable over time.

  • Drives measurable improvements in ML systems based on real-world signals and user feedback.

  • Provides mentorship and technical guidance to peers, raising the overall ML engineering standard.

  • Collaborates cross-functionally to ensure ML features integrate seamlessly into products and meet business goals.

How We Work

The best products today in the world were built by small, world class teams. We are a high talent density and hands-on team. We make decisions collectively, move at rapid speed, striking a balance between shipping high quality work and learning. Joining our team requires the ability to bring structure, exercise judgment, and execute independently. Our goal is to put in hands of our users a truly magical product

Interview process

If there appears to be a fit, we'll reach to schedule 3, but no more than 4 interviews.

Applications are evaluated by our technical team members. Interviews will be conducted via virtual meetings and/or onsite.

We value transparency and efficiency, so expect a prompt decision. If you've demonstrated the exceptional skills and mindset we're looking for, we'll extend an offer to join us. This isn't just a job offer; it's an invitation to be part of a team that's bringing AI to have practical benefits to billions globally.