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Machine Learning Remote Internship Jobs in Davidson, NC

ResourceWise

GIS Analyst

Charlotte, NC · Remote

Change Detection & Remote Sensing * * Design, implement, and refine automated change detection ... Identify opportunities to leverage artificial intelligence and machine learning to improve ...

The Hartford

Director of Data Science

Charlotte, NC · On-site +1

$153K - $229K/yr

Drive modernization through advanced modeling techniques, machine learning, and AI to enhance ... Candidates who do not live near an office may be considered for a remote work arrangement with ...

Limble

Product Manager

Charlotte, NC · Remote

$130K - $150K/yr

We\'re exploring how AI and machine learning can help maintenance teams predict equipment failures ... Comfortable working in a fully remote environment and collaborating with teammates across multiple ...

Limble

Product Manager

Charlotte, NC · Remote

$130K - $150K/yr

We're exploring how AI and machine learning can help maintenance teams predict equipment failures ... Comfortable working in a fully remote environment and collaborating with teammates across multiple ...

Limble

Product Manager

Charlotte, NC · Remote

$130K - $150K/yr

We're exploring how AI and machine learning can help maintenance teams predict equipment failures ... Comfortable working in a fully remote environment and collaborating with teammates across multiple ...

Teladoc

Staff AI Engineer, GenAI

Concord, NC · Remote

$200K - $230K/yr

Bachelor's degree in Computer Science, Engineering, Machine Learning, or a related field ... This information is applicable for all full-time positions. #LI-SS2 #LI-Remote We follow a Flexible ...

Kemper

Data Scientist

Charlotte, NC · On-site +1

Solid understanding of statistical modeling and machine learning concepts, including model training ... Remote options are available for non-local candidate. * The range for this position is $93,300 to ...

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All JobsMachine Learning JobsMachine Learning Remote Internship JobsMachine Learning Remote Internship Jobs in Davidson, NC

Machine Learning Remote Internship information

See Davidson, NC salary details

$23.6K

$39.4K

$81.4K

How much do machine learning remote internship jobs pay per year?

As of Jul 29, 2026, the average yearly pay for machine learning remote internship in Davidson, NC is $39,412.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,100.00 and $42,600.00 per year, depending on experience, location, and employer.

What types of projects can I expect to work on during a Machine Learning Remote Internship?

During a remote machine learning internship, you can expect to contribute to projects such as data preprocessing, model development, and performance evaluation. Interns often work on real-world datasets, applying techniques like regression, classification, clustering, or deep learning, depending on the organization's focus. Collaboration with data scientists, engineers, and other interns is common, typically via virtual meetings and shared code repositories. These projects provide hands-on experience and often culminate in presenting your findings to the team, offering valuable exposure to industry-standard workflows and tools.

What is a Machine Learning Remote Internship?

A Machine Learning Remote Internship is a temporary, structured work experience where interns contribute to machine learning projects from a remote location, such as their home. Interns typically work with teams on tasks like data preprocessing, building models, and evaluating results, while gaining practical knowledge and mentoring. These internships are ideal for students or recent graduates looking to develop their skills in machine learning, programming, and data science without the need to relocate. They often involve working with Python, popular ML libraries, and real-world datasets. Communication and collaboration are maintained through online tools and regular meetings.

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

To thrive as a Machine Learning Remote Intern, you need a solid background in programming (especially Python), mathematics/statistics, and a foundational understanding of machine learning concepts, often gained through coursework or relevant projects. Familiarity with machine learning libraries (like TensorFlow, PyTorch, and scikit-learn), version control systems (such as Git), and cloud platforms is typically expected. Strong problem-solving abilities, self-motivation, and effective remote communication set top interns apart. These skills and qualities enable efficient collaboration, successful project delivery, and continuous learning in a dynamic, distributed work environment.

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

AspectMachine Learning Remote InternshipData Science Intern
Required CredentialsBasic programming, math, and machine learning knowledgeStatistics, programming, and data analysis skills
Work EnvironmentRemote, collaborative teams, project-basedRemote or on-site, data analysis and modeling tasks
Industry UsageTech, AI, startups, research labsTech, finance, healthcare, consulting
Search & Comparison IntentUnderstanding internship roles in MLExploring data science internship opportunities

Machine Learning Remote Internships focus on developing models and algorithms, often requiring knowledge of programming and math. Data Science Internships involve analyzing data, creating reports, and supporting decision-making. While both roles are remote and industry-relevant, ML internships emphasize algorithm development, whereas data science roles focus on data analysis and visualization.

What job categories do people searching Machine Learning Remote Internship jobs in Davidson, NC look for? The top searched job categories for Machine Learning Remote Internship jobs in Davidson, NC are:
What cities near Davidson, NC are hiring for Machine Learning Remote Internship jobs? Cities near Davidson, NC with the most Machine Learning Remote Internship job openings:
Machine Learning Remote Internship jobs near you
Infographic showing various Machine Learning Remote Internship job openings in Davidson, NC as of June 2026, with employment types broken down into 2% As Needed, 39% Full Time, 57% Part Time, and 2% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $39,412 per year, or $18.9 per hour.

Data Scientist / Machine Learning Engineer (Generative AI Focus)

Strategic Staffing Solutions

Charlotte, NC • On-site, Remote

Other

Re-posted 19 days ago

Job description

Job Description STRATEGIC STAFFING SOLUTIONS HAS AN OPENING. This is a Contract Opportunity with our company that MUST be worked on a W2 Only. No C2C eligibility for this position.

Visa Sponsorship is Available. The details are below. "Beware of scams.

S3 never asks for money during its onboarding process." Job Title: Data Scientist / Machine Learning Engineer (Generative AI Focus) Contract Length: 12+ Months Hybrid schedule 3 days per week onsite/ 2 remote Location: Charlotte, NC/ Irving, TX/ Boston, MA Ref# 246769 We are seeking a highly motivated Data Scientist / Machine Learning Engineer to build advanced analytics and Generative AI (Gen AI) solutions across multiple business functions. This role combines strong data analysis capabilities with machine learning and emerging Gen AI techniques to drive business insights, automation, and innovation. The ideal candidate is hands-on, analytical, and comfortable owning the full lifecycle of data science solutions-from problem definition through model development and deployment-while collaborating closely with engineering and business stakeholders

Key Responsibilities Perform in-depth data analysis and exploration using SQL and statistical techniques to uncover patterns, solve business problems, and support data-driven decision-making. Work with large, complex datasets while ensuring data quality, integrity, and usability. Design, develop, and implement scalable solutions using Python or Java.

Utilize data science and machine learning libraries such as NumPy, SciPy, Matplotlib, and Scikit-learn. Build reusable pipelines for data processing, feature engineering, and model evaluation. Develop and evaluate machine learning models, including tree-based and ensemble algorithms such as Random Forest and XGBoost.

Assess model performance, tune hyperparameters, and ensure models meet business and technical requirements. Apply AI-assisted techniques to enhance productivity and insights. Craft effective prompts using Gemini or similar generative AI models to support data exploration, feature generation, analysis, and summarization.

Communicate insights through visualizations, reports, and presentations. Translate complex technical findings into actionable business recommendations. Partner closely with engineering teams for implementation and business stakeholders to ensure alignment with strategic objectives.

Required Qualifications Strong SQL and data analysis skills. Experience working with structured and semi-structured datasets. Proficiency in Python or Java for data science, machine learning, and analytical workloads.

Hands-on experience with machine learning frameworks and model development. Experience building, training, and evaluating predictive models in production or near-production environments. Ability to work independently and own initiatives end-to-end, from problem definition and requirements gathering through solution delivery and validation.

Experience using generative AI models to augment analytical workflows. Familiarity with prompt engineering. Experience leveraging large language models (LLMs) for automation and analytical tasks.

Experience integrating Gen AI capabilities into analytical processes. Generative AI Focus Develop and deploy Gen AI solutions that enhance productivity, automate workflows, and generate AI-driven business insights. Apply foundational knowledge of Gen AI concepts, tools, and use cases.

Experience with large language models (LLMs), prompt engineering, or AI-assisted analytics. Strong interest in emerging AI technologies and a willingness to continuously learn and apply new Gen AI innovations. Preferred Qualifications Experience working in financial services, banking, or capital markets environments.

Experience in data-driven or risk-focused domains. Familiarity with cloud platforms. Experience with data engineering pipelines.

Familiarity with model deployment frameworks. Exposure to big data technologies. Experience with distributed computing environments.

Exposure to real-time analytics environments. Ideal Candidate Profile Self-driven data professional with strong analytical and problem-solving skills. Combines practical machine learning expertise with emerging AI capabilities.

Comfortable navigating ambiguous problems and translating business needs into technical solutions. Capable of delivering measurable business outcomes. Strong communication skills with both technical and non-technical stakeholders.

Passionate about applying traditional machine learning and modern Generative AI techniques to solve complex business challenges.

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