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Machine Learning Software Engineer Intern Jobs in Charlotte, NC

... the machine learning function at a market-leading insurance company. As one of the first data ... Specific activities may change from time to time. 1. Develop customized coding, software ...

Senior Staff Software Engineer - IE07HE We're determined to make a difference and are proud to be ... Design and develop machine learning techniques that allow agents to learn from experience and adapt ...

Job Position: - Senior Software Engineer Job Location: - Charlotte, NC (100% onsite) Job Type ... Conceptual understanding of machine learning fundamentals and model telemetry. Additional Skills

As a Software Engineering Intern at Danaher, you'll work alongside experienced engineers developing diagnostic software that powers critical healthcare tools used across the globe. What You Might ...

As a Software Engineering Intern at Danaher, you'll work alongside experienced engineers developing diagnostic software that powers critical healthcare tools used across the globe. What You Might ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

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 ...

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 ...

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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:
What cities near Charlotte, NC are hiring for Machine Learning Software Engineer Intern jobs? Cities near Charlotte, NC with the most Machine Learning Software Engineer Intern job openings:

Machine Learning Engineer

CRC Group

Charlotte, NC • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 days ago


Job description

The position is described below. If you want to apply, click the Apply button at the top or bottom of this page. You'll be required to create an account or sign in to an existing one.
If you have a disability and need assistance with the application, you can request a reasonable accommodation. Send an email to Accessibility (accommodation requests only; other inquiries won't receive a response).
Regular or Temporary:
Regular
Language Fluency: English (Required)
Work Shift:
1st Shift (United States of America)
Please review the following job description:
We are building the foundation of the machine learning function at a market-leading insurance company. As one of the first data science hires, you will play a pivotal role in shaping our ML strategy, frameworks, and operating model. This is a unique opportunity to be hands-on, developing and maintaining production-grade solutions while influencing the long-term vision and scaling of our ML capabilities.
Key Responsibilities
Strategic Contribution
  • Partner with the Head of ML, product and data teams to define and implement the company-wide ML framework and best practices.
  • Contribute to the roadmap for ML development, adoption and team growth.

Hands-On Development
  • Ideate, design and build ML and AI prototypes to validate priority use cases and solve complex business problems to drive tangible value, while collaborating with product and business teams.
  • Develop and deploy production-grade ML models and data pipelines.
  • Build orchestration and integration frameworks for ML models and pipelines.
  • Develop and maintain CI/CD pipelines for ML solutions, including test automation, to ensure successful deployment of updated models

Operational Excellence
  • Monitor, maintain, and retrain models in production to ensure performance and compliance.
  • Manage data updates, versioning, and integrity for deployed solutions.
  • Implement robust monitoring and alerting systems for ML services.

Team Building
  • Help establish processes, tools, and standards for a growing ML team.
  • Mentor future hires and contribute to a collaborative, innovative culture.

ESSENTIAL DUTIES AND RESPONSIBILITIES
Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time.
1. Develop customized coding, software integration, perform analysis, configure solutions, using tools specific to the project or the area.
2. Lead and participate in the development, testing, implementation, maintenance, and support of highly complex solutions in adherence to company standards, including robust unit testing and support for subsequent release testing.
3. Build non-functional monitoring capabilities and provide escalated support for highly complex applications in production.
4. Build in and maintain security controls and monitoring in support of company standards.
5. Typically lead moderately complex projects and participate in larger, more complex initiatives.
6. Solve complex technical and operational problems. Act as a resource for teammates with less experience
7. May oversee the work of a small team.
8. In an Agile environment: Responsible for delivering high quality working software and automating manual/reusable tasks working directly, and engage with, the business from the beginning of the design work. Leverage continuous engineering practices to deliver business value regarding effectiveness of the design. Actively participate in refining user stories. Responsible for design, developing, and maintaining automated unit testing, and supporting integration and functional testing. Responsible for providing automated monitoring capabilities, providing warranty support, and providing knowledge transfer to production support. Develop code in accordance with the acceptance criteria established by the Product Owner.
QUALIFICATIONS
Required Qualifications:

The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
1. Bachelor's Degree and six to ten years of experience or equivalent education and software engineering training or experience
Technical Skills
  • Strong proficiency in Python and ML frameworks.
  • Experience with Databricks and Azure for data engineering and ML workflows.
  • Familiarity with MLOps tools (MLflow, Lakehouse Monitoring, Azure DevOps) and CI/CD practices.
  • Solid understanding of data science and engineering principles and model lifecycle management.

Experience
  • 5+ years total in data analytics, infrastructure, engineering and science roles.
  • 2+ years in applied ML engineering or data science roles.
  • Proven track record of deploying ML models into production environments.
  • Familiarity with monitoring, retraining, and maintaining ML systems at scale.

Soft Skills
  • Ability to work independently and collaboratively in a fast-paced environment.
  • Strong communication skills to influence stakeholders and explain technical concepts.

Nice-to-Have:
  • Knowledge of insurance industry data and business processes

2. In-depth knowledge in information systems and ability to identify, apply, and implement best practices
3. Understanding of key business processes and competitive strategies related to the IT function
4. Ability to plan and manage projects and solve complex problems by applying best practices
5. Ability to provide direction and mentor less experienced teammates. Ability to interpret and convey complex, difficult, or sensitive information
Location: Charlotte, Dallas, Raleigh, Alpharetta
General Description of Available Benefits for Eligible Employees of CRC Group: At CRC Group, we're committed to supporting every aspect of teammates' well-being - physical, emotional, financial, social, and professional. Our best-in-class benefits program is designed to care for the whole you, offering a wide range of coverage and support. Eligible full-time teammates enjoy access to medical, dental, vision, life, disability, and AD&D insurance; tax-advantaged savings accounts; and a 401(k) plan with company match. CRC Group also offers generous paid time off programs, including company holidays, vacation and sick days, new parent leave, and more. Eligible positions may also qualify for restricted stock units and/or a deferred compensation plan.
CRC Group supports a diverse workforce and is an Equal Opportunity Employer that does not discriminate against individuals on the basis of race, gender, color, religion, citizenship or national origin, age, sexual orientation, gender identity, disability, veteran status or other classification protected by law. CRC Group is a Drug Free Workplace.
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