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Machine Learning Engineer Jobs in Wheeling, WV (NOW HIRING)

This role sits within Operations Engineering and works in close partnership with our Technical Program Manager to ensure that every change - from next-generation pack-level design updates to ...

Senior Equipment Engineer, Operations

Weirton, WV · On-site

$102K - $140K/yr

Role Description We're looking for a Senior Equipment Engineer to join our Operations Engineering team. In this role, you will use your deep familiarity with a variety of manufacturing equipment to ...

Data Engineer

Wheeling, WV · On-site

$114K - $137K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

MIG Welder - Manufacturing

Wheeling, WV · On-site

$18.50 - $22.75/hr

Communicate with shop manager and engineering on product issues and assist with streamlining ... Capable of learning to read fabrication drawings with some instruction. * Ability to read and ...

MIG Welder - Manufacturing

Wheeling, WV · On-site

$18.50 - $22.75/hr

Communicate with shop manager and engineering on product issues and assist with streamlining ... Capable of learning to read fabrication drawings with some instruction. * Ability to read and ...

Data Engineer (Remote)

Glen Dale, WV · Remote

$96K - $116K/yr

S. for three (3) full years out of the last five (5) years * 6+ years of experience in data engineering, data migration, or data integration roles * Proven experience executing large-scale data ...

Data Engineer (Remote)

Glen Dale, WV · Remote

$96K - $116K/yr

S. for three (3) full years out of the last five (5) years * 6+ years of experience in data engineering, data migration, or data integration roles * Proven experience executing large-scale data ...

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Showing results 1-20

Machine Learning Engineer information

See Wheeling, WV salary details

$31.4K

$128.3K

$192.8K

How much do machine learning engineer jobs pay per year?

As of Jul 15, 2026, the average yearly pay for machine learning engineer in Wheeling, WV is $128,280.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,100.00 and $154,400.00 per year, depending on experience, location, and employer.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-demand industries or companies can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially in tech giants or startups with significant funding.

What do machine learning engineers do?

Machine learning engineers develop algorithms and models that enable computers to learn from data and make predictions or decisions. They often work with large datasets, use programming languages like Python or Java, and utilize tools such as TensorFlow or PyTorch to build, test, and deploy machine learning systems in production environments.

What are Machine Learning Engineers?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

Which 5 jobs will survive AI?

Machine Learning Engineers are likely to continue to be in demand as AI advances, as they develop and refine algorithms, models, and systems. Roles that require complex problem-solving, creativity, and domain expertise—such as healthcare professionals, data scientists, software developers, cybersecurity specialists, and AI ethics officers—are also expected to persist due to their reliance on human judgment and specialized knowledge. These jobs often involve skills that are difficult for AI to fully replicate or replace.

What Does a Machine Learning Engineer Do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

What engineers make $300,000 a year?

Senior machine learning engineers and data scientists with extensive experience, advanced skills in deep learning, and proficiency with tools like TensorFlow or PyTorch can earn $300,000 or more annually, especially in high-cost-of-living areas or top tech companies. Compensation often includes base salary, bonuses, and stock options, reflecting their expertise and impact on business outcomes.

What are some common challenges faced by Machine Learning Engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

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

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

What job categories do people searching Machine Learning Engineer jobs in Wheeling, WV look for? The top searched job categories for Machine Learning Engineer jobs in Wheeling, WV are:
What cities near Wheeling, WV are hiring for Machine Learning Engineer jobs? Cities near Wheeling, WV with the most Machine Learning Engineer job openings:
Senior Software Engineer, Factory Software

Senior Software Engineer, Factory Software

Form Energy

Weirton, WV • On-site

$119K - $157K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 11 days ago


Job description

Are you ready to build America's energy future? Form Energy is an American manufacturing and energy technology company. We're revolutionizing energy storage with cost-effective, multi-day technology designed to keep the electric grid secure and reliable, even during extended periods of stress. By strengthening the electric system and reimagining what's possible, we're giving clean energy a whole new form!
In recent years, Form Energy has earned a number of accolades, including being named by TIME as a "Best Invention", MIT Technology Review as a "Top Climate Tech Company To Watch", and Fast Company as "One of the Next Big Things In Tech". We are making rapid progress on our mission of delivering energy storage for a better world, and our team is growing just as rapidly to meet demand. We have signed contracts with leading electric utilities across the United States and production of our iron-air batteries is underway at our first high-volume manufacturing facility in West Virginia.
Working for Form Energy is more than just a job, it's a chance to be part of something extraordinary. And now - right as we significantly scale up battery manufacturing - might be the most exciting moment in the company's history to join. We are assembling a team of highly talented and driven individuals across the country. Driven by our core values of humanity, excellence, and creativity, our team is determined to deliver on our mission and transform the energy landscape for the better.
Feeling energized to make a meaningful impact on the world? Then keep reading - you've come to the right place.
Role Description
The Factory Software team is seeking a Factory Software Engineer to bridge the gap between physical manufacturing hardware and enterprise-level orchestration. In this role, you will be responsible for the development and ownership of the mission-critical software services and data architectures that power our entire factory ecosystem. You will function as a key partner to our Manufacturing, Automation, and Quality teams, building high-performance systems that enable real-time process control, material flow orchestration, and end-to-end product genealogy. You will collaborate closely with Data Engineering and Platform teams to leverage our on-prem and cloud infrastructure, building scalable, custom solutions that serve as the digital backbone for our first-of-a-kind manufacturing lines.
What you'll do:
  • Architect and Scale the Factory Stack: Design, develop, and deliver the end-to-end software services and data architectures-built in Go and Postgres-that orchestrate novel battery electrodes and assembly lines.
  • Build the Digital Backbone: Drive the integration of real-time machine data with high-level business logic, ensuring seamless material flow, process control, and comprehensive product genealogy across the entire factory.
  • Cross-Functional Collaboration: Partner with experienced software, data, controls, process, and quality engineers to bridge the gap between hardware and software, developing a high-quality, high-performance digital factory ecosystem.
  • Operational Excellence: Take ownership of the systems you build by participating in rotating on-call shifts and providing on-the-floor support, ensuring rapid problem-solving and continuous 24/7 production.
  • Continuous Innovation: Leverage on-prem and cloud infrastructure to build scalable solutions that replace legacy silos with a unified, software-driven manufacturing environment.

What you'll bring:
  • 5+ years of industry experience building and scaling production-grade software services
  • Professional expertise writing high-performance, reusable code in Go within a collaborative environment
  • Deep experience in relational database design, schema management, and query optimization using Postgres
  • Demonstrated ability to architect and own end-to-end software systems that orchestrate complex, real-world processes
  • Strong communication skills, both written and verbal, with the ability to relay technical architecture decisions to non-technical stakeholders
  • Proven track record of working independently with excellent time management and the ability to prioritize critical path tasks in a high-stakes environment
  • Bachelor's Degree in Computer Science, Software Engineering, or equivalent practical experience
  • Significant experience in a manufacturing, warehouse, or logistics environment working with software that interacts with physical hardware is highly desirable
  • Experience collaborating with a diverse range of stakeholders, including Automation, Process, and Operations teams, to define system requirements
  • Experience with distributed systems, message brokers, or containerization (Docker/Kubernetes) is a plus
  • A passion for technical mentorship and a desire to drive engineering excellence in a fast-paced, mission-driven startup environment

Where you'll work:
This role is based at Form Factory 1 in Weirton, WV-an easy commute from the city of Pittsburgh, PA. This 550,000-square-foot facility is our hub for high-volume battery production and a leader in the new era of American energy manufacturing. Relocation assistance is available.
#LI-Onsite
Humanity is a cornerstone of Form Energy's culture, and we make sure our compensation and benefits reflect that. Form Energy offers competitive salaries, stock options, and a holistic benefits package to ensure all employees have what they need to thrive while working here.
When it comes to you and your family's health, we cover 100% of medical, dental, and vision premiums for full-time employees - and 80% of healthcare premiums for dependents. This starts from day one. We also offer at least 12 weeks of paid leave for new parents (up to 20 weeks for birthing parents), and generous vacation policies to give employees time to recharge when needed.
To build America's energy future, we need everyone at the table. We are proud to be an equal opportunity employer, and encourage candidates from all backgrounds to apply to our open jobs.
If you may require reasonable accommodations to participate in our interview process, please contact accommodations@formenergy.com. Requests for accommodations will be treated with discretion.
Form Energy is committed to maintaining the privacy of our applicants. Please be aware that we will never solicit sensitive personal information such as Social Security numbers or bank account details during the recruiting or hiring process.