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Machine Learning Remote Internship Jobs in Davidson, NC

Summit

Claims Specialist

Concord, NC · Remote

$69K - $92K/yr

Great American's culture is built on connection, shared learning, and strong relationships. To ... Excludes seasonal employees and interns.

Summit

Senior Underwriter

Concord, NC · Remote

$62K - $94K/yr

Great American's culture is built on connection, shared learning, and strong relationships. To ... Excludes seasonal employees and interns.

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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 Aug 20, 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 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 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 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.

GCP Data Engineer

Business Integration Partners (BIP)

Davidson, NC • On-site, Remote

$106K - $127K/yr

Full-time

Medical

Re-posted 25 days ago

Job description

We are looking for a Data Engineer to join BIP, working on Google Cloud Platform (GCP) projects in Cloud, Data, AI, and Martech.

The selected candidate will operate GCP data platforms, implementing batch and real-time processing pipelines, managing both structured and unstructured data, and preparing datasets for Data Scientists, BI tools, relational and non-relational databases, and external applications via APIs.

They will also optimize and integrate Machine Learning models for scalable execution, provide guidance on the most suitable GCP services, and collaborate with clients, vendors, and partners to ensure solutions aligned with business objectives.

Additionally, they will actively contribute to the internal community through research, technology scouting, and the development of new solutions.

Will You Join Our Team? Key Requirements
  • Experience implementing and managing cloud-based data platforms;
  • Knowledge of Google Cloud Platform and data processing services (e.g., Dataflow, Composer, Data Fusion, Vertex AI);
  • Strong understanding of modern data platform concepts (Big Data, Data Lake, Data Warehouse, Data Virtualization, Data Mesh, Data Governance, etc.);
  • Experience designing data models and building/maintaining ETL/ELT data pipelines;
  • Knowledge of one or more programming and query languages (e.g., SQL, Java, Ruby, Python, R);
  • Strong knowledge of structured and unstructured database technologies (e.g., BigQuery, Cloud SQL, Firestore).
Nice to Have
  • Google Professional Data Engineer certification (or equivalent) is a plus.
Why BIP? Growth & Training

More than 300 courses on emerging technologies and business topics, personalized development programs, and training and people care initiatives to support your professional and personal growth.

Flexibility & Work-Life Integration

Flexible working arrangements with the possibility to plan remote and office days together with your manager based on project needs, a Solidarity Time Bank to give or receive leave hours to support colleagues during difficult times, and a culture that promotes work-life balance.

Health & Benefits

Health insurance, discounted medical check-ups, platforms for physical and mental well-being, and a supplementary welfare plan. Meal vouchers and other dedicated benefits.

Family & Parenthood

Concrete support for new parents: 100% salary integration for the first 3 months of parental leave or a one-time bonus, extra days for fathers, and support initiatives during leave and upon returning to work.

Inclusion & Values

We promote uniqueness and guarantee equal opportunities for everyone. We are committed to creating an ethical, fair, and inclusive work environment, also through active policies supporting protected categories.

Next Steps

Once we receive your CV, we will carefully review it.

If there is a match with this or other open positions within the Group, we will contact you to begin our mutual introduction.

About Us

Founded in 2003, we built on the historical experience of consulting and added two key ingredients: innovation and digitalization.

Today we are more than 5,000 professionals across 13 countries, with over 4,500 projects delivered and cutting-edge expertise in Digital Transformation, Data Science, Cybersecurity, Industry 4.0, IoT, and all Disruptive Technologies serving every market sector.

We help our clients make a difference by creating quality at scale through a formula based on three levers: Value, People, and Technology.

We believe in excellence as the compass guiding our actions. We adopt an ethical and transparent approach toward everyone who chooses to work with us, fostering an environment where people can grow together through the cross-fertilization of diverse skills.

Bip Iberia, en compromiso y coherencia con la Ley Integral para la Igualdad de Trato y la No Discriminacion, tiene abiertas todas sus posiciones a cualquier persona debidamente cualificada para cubrir la vacante, independientemente de su edad, discapacidad, genero, orientacion sexual o politica, raza o creencia.

BUSINESS INTEGRATION PARTNERS CONSULTING IBERIA, S.L., con NIF B84701903 y contacto Liliana.mendoza@bip-group.com, tratara los datos recibidos al aplicar su candidatura como Responsable del tratamiento, con la finalidad de gestionar el proceso de seleccion actualmente activo conforme al articulo 6.1.b) del GDPR, asi como para futuros procesos si su perfil fuera de interes, en base al consentimiento del articulo 6.1.a).

BUSINESS INTEGRATION PARTNERS CONSULTING IBERIA, S.L. no comunicara sus datos a terceros salvo obligacion legal. El periodo de conservacion del CV sera de un maximo de 1 ano, tras el cual sera eliminado.

Puede ejercer sus derechos de acceso, rectificacion, supresion, oposicion, limitacion al tratamiento, portabilidad, y a no ser objeto de decisiones automatizadas, o consultar informacion adicional sobre el tratamiento de sus datos en el correo: dpo-bipspain@bip-group.com.

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