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Machine Learning Software Engineer Intern Jobs in Charlotte, NC

AEG

Software Engineer- CH- AXS

Charlotte, NC · On-site

They are seeking a Software Engineer to join their carbonhouse team in Charlotte, NC, focusing on ... machine learning fundamentals (training, fine-tuning, evaluation) • Experience with ...

Ztek Consulting INC

Software Engineer

Charlotte, NC · On-site

Software Engineer Duration: 6-12 months Location: Onsite - Charlotte, NC Work Type: Rate: Pay range ... talent, machine learning algorithms, and artificial intelligence to provide customized talent ...

Vista Robotics

Software QA Intern

Rock Hill, SC · On-site

$16.75 - $22/hr

We are looking for a Software QA Intern to join Vista Robotics, a leading company in the field of computer software and engineering. As a Software AQ Intern, you will play a crucial role in ensuring ...

Vista Robotics

Software QA Intern

Charlotte, NC · On-site

$19 - $24.75/hr

We are looking for a Software QA Intern to join Vista Robotics, a leading company in the field of computer software and engineering. As a Software AQ Intern, you will play a crucial role in ensuring ...

AEG Worldwide

Software Engineer- CH- AXS

Charlotte, NC · On-site

AXS is seeking a Software Engineer to join our carbonhouse team in Charlotte, NC. This role will be ... Knowledge of machine learning fundamentals (training, fine-tuning, evaluation) * Experience with ...

AEG Worldwide

Software Engineer- CH- AXS

Charlotte, NC · On-site

AXS is seeking a Software Engineer to join our carbonhouse team in Charlotte, NC. This role will be ... Knowledge of machine learning fundamentals (training, fine-tuning, evaluation) * Experience with ...

AEG Worldwide

Software Engineer- CH- AXS

Charlotte, NC · On-site

AXS is seeking a Software Engineer to join our carbonhouse team in Charlotte, NC. This role will be ... Knowledge of machine learning fundamentals (training, fine-tuning, evaluation) * Experience with ...

The Hartford

Sr AI Machine Learning Engineer

Charlotte, NC · Hybrid

$117K - $175K/yr

The Hartford is seeking Senior AI Machine Learning Engineer to build Machine Learning Operations (MLOps) services for the Global Specialty Applied AI team. The Hartford is developing industryleading ...

Donato Technologies, Inc

ML Ops Engineer

Charlotte, NC · On-site

$60/hr

... Software Engineering & 3+Years in AIML, Machine Learning Model Operations. * Strong proficiency in Java and Python, SQL, and ML libraries (e.g.,scikit-learn, XGBoost, TensorFlow, PyTorch)

Varsity Tutors

Machine Learning Tutor

Matthews, NC · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

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All JobsMachine Learning Software Engineer Intern JobsMachine Learning Software Engineer Intern Jobs in Charlotte, NC

Machine Learning Software Engineer Intern information

See Charlotte, NC salary details

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How much do machine learning software engineer intern jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for machine learning software engineer intern in Charlotte, NC is $24.82, according to ZipRecruiter salary data. Most workers in this role earn between $20.19 and $28.17 per hour, depending on experience, location, and employer.

What does a machine learning software engineer intern do?

A Machine Learning Software Engineer Intern assists in the development, testing, and deployment of machine learning models and algorithms. Their responsibilities typically include data preprocessing, model training, evaluation, and collaborating with senior engineers to integrate machine learning solutions into software products. Interns may also contribute to research, documentation, and code optimization, gaining hands-on experience with real-world machine learning projects. This role provides a valuable opportunity to apply academic knowledge in a professional setting and learn from experienced engineers.

What are the key skills and qualifications needed to thrive as a machine learning software engineer intern?

To thrive as a Machine Learning Software Engineer Intern, you need a solid understanding of programming (especially Python), machine learning algorithms, and data structures, ideally supported by coursework or relevant projects. Familiarity with frameworks such as TensorFlow or PyTorch, experience using version control systems like Git, and knowledge of cloud platforms are highly valuable. Critical thinking, eagerness to learn, and effective communication help interns collaborate with teams and adapt to new challenges. These skills and qualities are crucial for developing robust ML solutions, integrating with production systems, and contributing meaningfully to real-world projects.
What are the most commonly searched types of Machine Learning Software Engineer jobs in Charlotte, NC? The most popular types of Machine Learning Software Engineer jobs in Charlotte, NC are:
Machine Learning Software Engineer Intern jobs near you

Sr. Machine Learning/AI Engineer

Financial Independence Group

Cornelius, NC • On-site

$96K - $132K/yr

Full-time

Re-posted 16 days ago

Job description

Job Summary:
Financial Independence Group (FIG) is one of the nation’s largest Finance and Insurance Marketing Organizations, focusing on expanding financial products and services. They are seeking a Senior Machine Learning/AI Engineer to architect and operationalize intelligent systems, develop machine learning models, and collaborate with cross-functional teams to drive organizational efficiency.
Responsibilities:
• Design, build, and deploy machine learning models and AI systems at scale.
• Develop LLM‑powered applications, including RAG pipelines, agent workflows, and automated decision‑support tools.
• Collaborate with cross‑functional partners to translate business needs into technical AI solutions.
• Work closely with data engineering to ensure strong data availability, quality, and ML readiness.
• Mentor engineers and analysts, guiding best practices in MLOps, model development, and responsible AI.
• Implement monitoring, observability, and model governance frameworks.
• Maintain high standards for security, safety, and compliance aligned with FIG’s AI governance.
• Evaluate new models, tools, and frameworks to continuously expand FIG’s AI capabilities.
• Present recommendations, insights, and solution designs to technical and non‑technical stakeholders.
Qualifications:
Required:
• Strong proficiency in Python and modern ML frameworks (PyTorch, TensorFlow, scikit‑learn).
• Experience building and deploying machine learning models into production environments.
• Hands‑on experience working with large language models (LLMs), transformers, vector databases, embeddings, and retrieval‑augmented generation (RAG).
• Ability to design end‑to‑end AI pipelines from data ingestion and feature engineering to training, evaluation, deployment, and monitoring.
• Familiarity with prompt engineering, fine‑tuning, and model optimization techniques.
• Experience implementing MLOps workflows and tools (MLflow, Databricks, Weights & Biases, SageMaker, AgentCore or similar).
• Knowledge of agent frameworks (Strands, LangChain, Semantic Kernel, CrewAI, AutoGen).
• Knowledge of cloud technologies (AWS preferred), containerization and orchestration.
• Strong SQL skills and comfort working with modern data platforms (e.g., Snowflake, Redshift, BigQuery, Synapse).
• Experience deploying APIs, microservices, and distributed systems.
• Ability to evaluate model performance, identify failure modes, and optimize for accuracy, fairness, and reliability.
• Strong critical‑thinking skills paired with creativity in designing AI‑driven solutions.
• Experience conducting exploratory analysis, model experimentation, and error analysis.
• Ability to balance technical excellence with practical business impact.
• Ability to translate business needs into scalable AI solutions.
• Experience partnering with cross‑functional teams across engineering, data, operations, and leadership.
• Strong communication skills with the ability to present complex concepts clearly.
• Ability to mentor, guide, and influence teammates and stakeholders.
Preferred:
• Experience in financial services, insurance, wealth management, or other regulated industries.
• Prior involvement in AI governance, responsible AI frameworks, or risk assessments.
• Experience contributing to data governance, metadata management, or model lineage documentation.
• Familiarity with experimentation frameworks, A/B testing, or statistical modeling.
• Working knowledge of reinforcement learning, recommendation systems, or advanced NLP techniques.
Company:
Welcome to Financial Independence Group, or FIG Marketing. Founded in 1976, the company is headquartered in Cornelius, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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