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Remote Internship Machine Learning Engineer Jobs in West Virginia

Principal Software Engineer

Charleston, WV · On-site +1

$124K - $167K/yr

We believe in the power and joy of learning At Cengage, our employees have a direct impact in ... As a successful technology leader, you will build and lead remote software engineering ...

Head of AI - Platform AI

Charleston, WV · Remote

$215K - $245K/yr

This role focuses on implementing cutting-edge machine learning, deep learning, and automation ... This remote work role will consider applicants that currently reside in the continental United ...

$15.50 - $20.50/hr

Proven experience in data entry or related administrative roles (internships and projects count ... Learning & Development: Engage in continuous learning and skill development programs. * Career ...

$15.50 - $20.50/hr

Proven experience in data entry or related administrative roles (internships and projects count ... Learning & Development: Engage in continuous learning and skill development programs. * Career ...

$130K - $150K/yr

This fully remote role will focus on developing and maintaining sophisticated quantitative models ... machine learning workflows. Leverage Python for data preparation, model training, and result ...

Data Reporting and Analytics Lead

WV · On-site +1

$169K - $229K/yr

... engineering, data platform, reporting, analytics, and Artificial Intelligence (AI)/Machine Learning ... Remote Work Location: Any Location / Remote Additional Work Locations: Total Rewards at GDIT: Our ...

Software Developer

Clarksburg, WV · Remote

$80K - $133K/yr

While this position is remote, a one-time trip to the Clarksburg, WV customer site is required for ... Constantly operates a computer and other office productivity machinery, such as a calculator, copy ...

Solution Architect - HIGLAS/HOM Program (CMS)

WV · Remote

$56.75 - $74.75/hr

Artificial Intelligence(AI) and Machine Learning (ML), Analytics & Automation * Identify and ... Partner with data/ML engineers to define pipelines, models, and reference architectures for ...

Solution Architect - HIGLAS/HOM Program (CMS)

WV · Remote

$56.75 - $74.75/hr

Artificial Intelligence(AI) and Machine Learning (ML), Analytics & Automation * Identify and ... Partner with data/ML engineers to define pipelines, models, and reference architectures for ...

... Learning (part of MPS Limited), we are looking for educational curriculum and content developers ... LOCATION Remote/Ability to work from home from anywhere in the world. Must have reliable internet ...

... Learning (part of MPS Limited), we are looking for educational curriculum and content developers ... LOCATION Remote/Ability to work from home from anywhere in the world. Must have reliable internet ...

Become known as a thought-leader in machine learning and predictive analytics. * Expand ... DevOps, security, business applications, and/or analytics. Subscription, SaaS, or Cloud software ...

Showing results 21-40

Remote Internship Machine Learning Engineer information

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

AspectRemote Internship Machine Learning EngineerRemote Data Scientist Intern
Required CredentialsBasic programming, machine learning fundamentals, coursework or certificationsStatistics, data analysis, programming skills, coursework or certifications
Work EnvironmentCollaborative team, remote, project-basedRemote, data analysis projects, team collaboration
Industry UsageTech, AI, software developmentTech, finance, healthcare, research

Both roles are internship positions focused on data and machine learning skills, often requiring similar educational backgrounds. The main difference lies in their focus: Machine Learning Engineers concentrate on developing and deploying ML models, while Data Science Interns focus on analyzing data and deriving insights. Both are common in tech industries and often share similar work environments and prerequisites.

What are popular job titles related to Remote Internship Machine Learning Engineer jobs in West Virginia? For Remote Internship Machine Learning Engineer jobs in West Virginia, the most frequently searched job titles are:
What job categories do people searching Remote Internship Machine Learning Engineer jobs in West Virginia look for? The top searched job categories for Remote Internship Machine Learning Engineer jobs in West Virginia are:
What cities in West Virginia are hiring for Remote Internship Machine Learning Engineer jobs? Cities in West Virginia with the most Remote Internship Machine Learning Engineer job openings:

Principal Software Engineer

Cengage Learning

Charleston, WV • On-site, Remote

$124K - $167K/yr

Full-time

Re-posted 25 days ago


Job description

We believe in the power and joy of learning

At Cengage, our employees have a direct impact in helping learners around the world discover the power and joy of learning. We are bonded by our shared purpose - driving innovation that helps millions of learners improve their lives and achieve their dreams through education.

What you'll do here:

Lead all aspects of critical systems for delivering innovative education technology platforms. Specifically, you will lead technology teams in our Internal Operations business unit which includes our Content Systems, Content workflows and Content AI platforms. As a successful technology leader, you will build and lead remote software engineering organizations using agile principles to architect and deliver high availability enterprise software. You will partner closely with product and design teams and lead through data driven insights. You will be obsessing about customer outcomes in every decision made and drive measurable improvements in user engagement.

In this role, you will balance your time between technical composing and product building for software development teams that work on content workflow automation, application development, and platform support. This is a multi-functional and agile team environment. You will work jointly with other technology and product leads to provide direction and leadership to the agile teams. Feel comfortable with situational leadership, able to lead or collaborate as needed.

  • Design, architect, and implement new features and functionality with the expectation that you will own and drive the development using an iterative methodology and deliver products that scale to support our millions of customers.

  • With product partners, customers and other technologists to understand customers' content, learning and technological needs; provide guidance on technology solution options.

  • Communicate sophisticated technical information clearly across product and technology teams, learning designers, interface designers and domain authorities in different parts of the organization.

  • Supervise product performance, analyze performance data, and gather user feedback to continuously iterate and improve the product so our customers enjoy a consistently reliable and high-performing experience with our platforms, available 24/7. Conduct post-release evaluations, retrospectives, and A/B testing to advise future product enhancements and strategic decision-making.

  • Adopt agile methodologies and the principles of a customer centric product model to drive iterative development, continuous improvement, and rapid time-to-market. Work closely with multi-functional teams to define user stories, prioritize backlog items, and ensure timely and high-quality product releases.

  • Stay up to date with emerging technologies and industry trends and integrate relevant advancements into our product roadmaps.

  • Participate in cultivating a high-performance, transparent culture of continuous improvement focused on accountability and results.

Skills you'll need here:

Education & Experience

  • Bachelor's degree in computer science or a related field, or an equivalent combination of education and recent, relevant work experience.

  • 5 years of technology leadership experience, including developing technology strategies, fostering innovation, and influencing distributed teams across multiple time zones.

Generative AI & Emerging Technologies

  • Solid understanding of generative AI concepts and frameworks, such as LLMs, multimodal models, prompt engineering, AI agent orchestration, retrieval augmented generation, and vector databases.

  • Hands-on experience integrating or experimenting with commercial and open-source GenAI technologies and toolkits (e.g., OpenAI, Hugging Face, LangChain).

  • Familiarity with agentic workflows and AI-enabled automation for applications such as content management, search, personalization, or workflow optimization.

  • Knowledge of AI safety, responsible AI practices, and content moderation systems

  • Motivation to be up-to-date with advancements in GenAI, MLOps, and digital transformation.

Enterprise Architecture, Software Engineering & Product Delivery

  • Experience in modernizing legacy or monolithic architectures, migrating systems to modular, cloud-native platforms, and implementing hybrid cloud strategies.

  • Consistent track record of architecting and deploying solutions on public cloud platforms (AWS, GCP, or Azure), including storage (S3), compute (EC2, Lambda), containerization (Kubernetes, Docker), and serverless computing and event driven systems

  • Understanding of Infrastructure as Code (IaC) tools (e.g., Terraform, AWS CDK) for automated, scalable deployments and GitOps / AIOps practics

  • Deep understanding and hands-on experience implementing AWS Well-Architected Framework across all six pillars

  • Skilled in agile methodologies (Scrum, Kanban, SAFe), with the ability to foster high-performing teams and use tools like Jira or Azure DevOps to support efficient, priority-aligned delivery.

Content Operations & Domain Expertise:

  • Understanding of content management systems, digital asset management, and content delivery networks

  • Experience with content workflow automation, metadata management, and content versioning systems

  • Knowledge of content personalization, search systems, and recommendation engines

  • Familiarity with content creation tools, authoring systems, and publishing platforms

  • Understanding of educational technology domains and learning content requirements

Collaboration & Communication

  • Strong interpersonal and collaboration skills-capable of partnering effectively with multi-functional teams, including product, build, and engineering, in distributed and remote-first environments.

  • Experienced in breaking down complicated technical concepts for diverse technical and non-technical audiences, including executives and partners.

  • Proactive approach to learning new technologies, embracing experimentation, and incorporating emerging practices into platforms and teams.

  • Commitment to continuous improvement for both product and engineering culture.

Cengage is committed to working with broad talent pools to attract and hire strong and most qualified individuals. Our job applicants are considered regardless of any classification protected by applicable federal, state, provincial or local laws.

Cengage is also committed to providing reasonable accommodations for qualified individuals with disabilities including during our job application process. If you are an applicant with a disability and require reasonable accommodation in our job application process, please contact us at accommodations.ta@cengage.com.

About Cengage

Cengage, a global education technology company serving millions of learners, provides affordable, quality digital products and services that equip students with the skills and competencies needed to be job ready. For more than 100 years, we have enabled the power and joy of learning with trusted, engaging content, and now, integrated digital platforms. We serve the higher education, workforce skills, secondary education, English language teaching and research markets worldwide. Through our scalable technology, including MindTap and Cengage Unlimited, we support all learners who seek to improve their lives and achieve their dreams through education.

Compensation

At Cengage Group, we take great pride in our commitment to providing a comprehensive and rewarding Total Rewards package designed to support and empower our employees. Click here to learn more about our Total Rewards Philosophy.

The full base pay range has been provided for this position. Individual base pay will vary based on work schedule, qualifications, experience, internal equity, and geographic location. Sales roles often incorporate a significant incentive compensation program beyond this base pay range.

In this position, you will be eligible to participate in the company'sdiscretionaryincentive bonus program. This position's bonus target amount, which is not guaranteed and is dependent on individual performance and overall company results among other factors, is provided below.

20% Annual: Individual Target$117,100.00 - $187,300.00 USD