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Remote Machine Learning Software Engineer Jobs in West Virginia

CRM Force

Overview Sr. Full Stack Software Engineer (Cybersecurity / 100% Remote) About the job SR. FULL STACK SOFTWARE ENGINEER Location: REMOTE (must currently live in the US) Visa : GC and USC only. No ...

Relevate Health

$120K - $150K/yr

Senior Software Engineer Job Summary: Level Ex Games (Powered by Relevate Health) is a fast-growing ... Remote working if outside 40 miles of a Relevate Health Office * Travel may apply based on position

Weekday AI

$20 - $65/hr

Remote Compensation: $20 - $65/hour-pay As a Graphic Designer - Ai trainer and play a pivotal role ... Translate complex design concepts into actionable data and training materials for machine learning ...

Oxford Solutions

Full Stack Engineer

Morgantown, WV · Remote

... a Full Stack Software Engineer for a contract-to-hire opportunity. This role supports the ... Candidates can be based in Pennsylvania, Ohio, or West Virginia, with a primarily remote schedule ...

Waabi

$158K - $269K/yr

Masters/PhD in machine learning, computer science, engineering, or a related field. * Strong ... Strong software engineering skills, including experience with large-scale training or simulation.

Anno

... edge-computing, and machine learning for cutting edge retail analytics while working for and ... Background in computer science, computer or electrical engineering, software development, data ...

General Motors

Senior AI/ML Tooling Engineer

Charleston, WV · On-site +1

$144.70K - $261.30K/yr

The Role We are looking for an ML tooling engineer to build tools to analyze and optimize ... The Autonomous Vehicle (AV) software stack heavily relies on machine learning models to perform ...

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Remote Machine Learning Software Engineer information

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

AspectRemote Machine Learning Software EngineerRemote Data Scientist
Required CredentialsBachelor's or higher in CS, ML, or related; experience with ML frameworksBachelor's or higher in CS, Statistics, or related; strong analytical skills
Work EnvironmentDeveloping ML models, coding, deploying algorithmsAnalyzing data, building models, interpreting results
Industry UsageTech, finance, healthcare, e-commerceTech, finance, healthcare, research institutions

While both roles involve working with data and algorithms, Remote Machine Learning Software Engineers focus on developing and deploying machine learning models through coding, whereas Remote Data Scientists analyze data to extract insights and build statistical models. Both roles often collaborate but serve different primary functions within organizations.

What are popular job titles related to Remote Machine Learning Software Engineer jobs in West Virginia? For Remote Machine Learning Software Engineer jobs in West Virginia, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning Software Engineer jobs in West Virginia look for? The top searched job categories for Remote Machine Learning Software Engineer jobs in West Virginia are:
Remote Machine Learning Software Engineer jobs near you
Infographic showing various Remote Machine Learning Software Engineer job openings in West Virginia as of May 2026, with employment types broken down into 1% Internship, 1% As Needed, 71% Full Time, 24% Part Time, and 3% Contract. Highlights an 96% Physical, and 4% Remote job distribution.

Sr. Full Stack Software Engineer (Cybersecurity / 100% Remote)

CRM Force

Remote

Full-time

Retirement

Posted 9 hours ago

Job description

Overview Sr. Full Stack Software Engineer (Cybersecurity / 100% Remote) About the job SR. FULL STACK SOFTWARE ENGINEER Location: REMOTE (must currently live in the US) Visa : GC and USC only.

No sponsorship available. Type of job: Full-time salary. No C2C.

Compensation: Base salary depending on experience + equity + company pays 100% of benefits + 401K + matching How to qualify for this role: Cybersecurity experience is strongly preferable Must have experience building data visualization tools, like dashboards graphs, charts, maps, etc You must be able to present a portfolio of publicly available platforms / websites that you've built out (must be full stack - not just front end or just back end) The platforms you have built out should be for SaaS technology companies About the role: The Full Stack Engineer will report directly to the Head of Product, and take ownership over the design and development of our SaaS platform that delivers Cybersecurity, Cyber Threat Intelligence, and Fraud Detection to customers. You will be responsible for front end and back end design and development, as well as for scoping, designing, and implementing both front and back end systems that support online product sales, and our self-service support portal. We are looking a highly skilled Engineer who thrives in fast paced development environments.

About you (The Required Stuff): Framework experience with Express OR NextJS or Vite, etc Strong API design principals and frameworks, ( REST and GraphGL ) Google Cloud including Firebase Auth, Firestore, Cloud Run, Cloud Functions UX/UI Design Understanding of networking principals (layers, protocols, etc) Self-starter, Self-motivated with a passion for SW Engineering and building high impact solutions. Drive to own (and build) your own product domain! Strong communication and decision making skills What you'll be doing: Design and Implement supporting back-end APIs using GraphQL and REST (NodeJS, Firestore) Securely Integrate with identity frameworks (Firebase Auth) to develop user authentication and permissions controls Securely Integrate with payment processing APIs for finance, accounting, and tax requirements Design and Coordinate back-end data requirements for new application features with other product engineering teams Automate the build, testing, and deployment DevOps lifecycle for Front-End products Integrate analytic and usage tracking tools to facilitate business sales, business development, marketing campaign performance, and lead generation metrics.

Implement alerting, crash handling and support features for customer support Expand and maintain reusable brand consistent REACT Component Libraries Use Version Control repositories (GIT) and tools to communicate effectively across the engineering team and company Make decisive and informed implementation decisions with minimal guidance Facilitate Product Design and Decision Making processes with the team. About the company We are a highly successful 8+ year old cybersecurity "start-up" that provides a unique Cybersecurity Platform that is focused around Cyber Threat Intelligence and Fraud Detection. Our platform has been higtly acclaimed as one of the top solutions available within the Cybersecurity Industry.

We are a Debt-free highly profitable, and a small and agile company, that is committed to continuously growing and improving our offerings. We are a private company, have grown organically, focus on always doing the right thing, valuing Ethics and Integrity. #J-18808-Ljbffr

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