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Internship Machine Learning Engineer New Grad Jobs in Mooreville, MS

Business Card Product Director

Tupelo, MS ยท Hybrid

$155K - $255K/yr

Oversee the development of new and innovative business credit card and expense management products ... Knowledge of machine learning or AI applications in credit risk management. * Strong leadership and ...

Business Card Product Director

Tupelo, MS ยท Hybrid

$155K - $255K/yr

Oversee the development of new and innovative business credit card and expense management products ... Knowledge of machine learning or AI applications in credit risk management. * Strong leadership and ...

Propose and prioritize improvements, then partner with engineering and design to execute them * Where scope allows, own new feature work end-to-end - from problem definition and spec to launch 2. ...

2025 - Summer Intern Co-op Conversion

Tupelo, MS ยท On-site

$14.25 - $19/hr

Functional Talent Scouts (function or engineering subfunction), who are CC03 or higher employees ... Note - this is a new step with the implementation of MyHR for compliance purposes. * Once you ...

Be Seen First

CNC Field Service Technician

Tupelo, MS ยท On-site

$100K - $110K/yr

Learn new machine features and accessories as they become available. * Complete reports documenting ... Skills & Requirements * Ability to read and understand engineering drawings. * Ability to ...

Be Seen First

CNC Field Service Technician

Tupelo, MS ยท On-site

$100K - $110K/yr

Learn new machine features and accessories as they become available. * Complete reports documenting ... Skills & Requirements * Ability to read and understand engineering drawings. * Ability to ...

Showing results 41-60

Internship Machine Learning Engineer New Grad information

See Mooreville, MS salary details

$20.9K

$34.9K

$72.2K

How much do internship machine learning engineer new grad jobs pay per year?

As of Aug 22, 2026, the average yearly pay for internship machine learning engineer new grad in Mooreville, MS is $34,925.00, according to ZipRecruiter salary data. Most workers in this role earn between $26,700.00 and $37,700.00 per year, depending on experience, location, and employer.

What does an internship machine learning engineer new grad do?

An Internship Machine Learning Engineer New Grad typically works on developing, testing, and optimizing machine learning models under the guidance of senior engineers or data scientists. Their responsibilities often include data preprocessing, feature engineering, model training, and evaluating model performance. They may also collaborate with cross-functional teams to integrate models into production or contribute to research projects. This role provides hands-on experience with real-world data and the opportunity to learn industry-standard tools and practices.

What are the key skills and qualifications needed to thrive as an internship machine learning engineer new grad?

To thrive as an Internship Machine Learning Engineer New Grad, you need a strong grasp of programming (especially Python), machine learning algorithms, data structures, and a relevant degree or coursework in computer science or a related field. Familiarity with tools and frameworks like TensorFlow, PyTorch, scikit-learn, and version control systems such as Git is typically expected. Strong analytical thinking, problem-solving abilities, and a willingness to learn make you stand out in this position. These skills enable you to contribute effectively to projects, quickly adapt to new challenges, and support innovative solutions in a fast-evolving field.

What types of projects do machine learning engineer interns typically work on?

Machine Learning Engineer interns often work on hands-on projects such as data preprocessing, model development, and conducting experiments to validate algorithms under the guidance of senior engineers. These projects might include building prototypes, optimizing existing machine learning models, or supporting data collection and annotation efforts. Interns are expected to collaborate closely with data scientists, software engineers, and product teams to align their work with real business needs. This experience not only helps interns build technical skills but also provides insight into how machine learning solutions are integrated into larger products or services.

What is the difference between Internship Machine Learning Engineer New Grad vs Machine Learning Engineer?

AspectInternship Machine Learning Engineer New GradMachine Learning Engineer
Required CredentialsTypically pursuing or recently completed a Bachelor's or Master's in CS, Data Science, or related fieldsBachelor's or higher in CS, Data Science, or related fields; often requires some professional experience
Work EnvironmentTemporary, learning-focused internship, often part-time or summerFull-time professional role in a team, responsible for deploying ML models and projects
Employer & Industry UsageInternships offered by tech companies, startups, and research labs; industry-wideFull-time roles in tech, finance, healthcare, and other sectors utilizing ML

The main difference between an Internship Machine Learning Engineer New Grad and a Machine Learning Engineer is experience level and job responsibilities. Internships are temporary, learning-focused positions for recent graduates or students, while full-time Machine Learning Engineers handle ongoing projects, deployment, and optimization of ML models in a professional setting.

Business Card Product Director

Huntington

Tupelo, MS โ€ข Hybrid

$155K - $255K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted 6 days ago


Job description

Description

Summary:

The Business Card Product Director has leadership responsibility for business card portfolio management including analytical evaluation, strategy development, program execution, and profit optimization.

Duties & Responsibilities:

Leadership & Strategy Development:

  • โ€‹Lead the business credit card business, including the design and execution of product strategies to drive growth and profitability.
  • Develop long-term strategic plans and set business targets, budgets, and KPIs for the portfolio and ensure that they are achieved.
  • Align strategy and product roadmap with senior leadership with company-wide goals.

Product Development & Innovation:

  • Oversee the development of new and innovative business credit card and expense management products, features, and benefits to meet evolving customer needs and drive profitability.
  • Drive innovative solutions by researching emerging trends and customer behaviors, while ensuring alignment with the brand strategy.
  • Work with design and tech teams to enhance customer experience and digital engagement for credit cardholders.

Customer Acquisition & Retention:

  • Develop strategies for acquiring new customers while ensuring the retention of existing ones.
  • Lead cross functional team of partners including Marketing, analytics, technology and credit risk to drive customer acquisition campaigns and promotions.
  • Develop and manage acquisition strategies partnering with various sales teams in the organization and identify external partners to help drive new customers
  • Establish loyalty programs and incentives that enhance customer engagement and satisfaction.
  • Leverage customer data and insights to improve the value proposition and customer experience.

Risk & Compliance Management:

  • Ensure that all credit card products comply with relevant regulatory requirements, internal policies, and industry standards.
  • Develop and monitor risk management frameworks, including credit risk, fraud prevention, and operational risk for business credit card products.
  • Monitor portfolio performance and adjust credit policies as necessary to mitigate risk and ensure a healthy portfolio.

Team Management:

  • Lead and mentor a team of product managers and collaborate with cross functional group of partners including analysts, marketers, and risk managers.
  • Foster a culture of high performance, collaboration, and innovation within the team.
  • Manage team performance, career development, and training initiatives to build a high-functioning, motivated team.

Financial & Operational Performance:

  • Oversee the financial performance of the business credit card portfolio, including revenue generation, cost management, and profitability.
  • Monitor operational metrics such as customer acquisition costs, utilization rates, and charge-off rates to optimize performance.
  • Report regularly to senior management on key performance indicators (KPIs), financial results, and strategic initiatives.

Partnership Management:

  • Develop and manage relationships with key external partners, including payment networks, fintech companies, third-party vendors, and credit bureaus.
  • Negotiate favorable terms with external partners to enhance product offerings and drive customer acquisition.
  • Other duties as assigned.

Basic Qualifications:

  • Bachelorโ€™s degree with 10+ years of credit card related oversight and experience.  
  • Experience working with other 3rd party credit card partners.
  • Demonstrated experience in product development, business case development, strategic planning, project management and tactical implementation

Preferred Qualifications:

  • Masterโ€™s degree
  • Experience with business credit card products and mobile banking apps.
  • Familiarity with emerging trends in the fintech and payments industry.
  • Knowledge of machine learning or AI applications in credit risk management.
  • Strong leadership and team management skills.
  • Excellent strategic thinking and decision-making abilities.
  • Deep knowledge of business credit card products and financial services.
  • Strong financial acumen and ability to drive profitability.
  • Effective communication and stakeholder management skills.
  • Ability to work in a fast-paced, high-pressure environment.
  • Knowledge of regulatory requirements related to business credit, such as the CARD Act, Dodd-Frank, and CFPB guidelines.
  • Proven experience in developing and managing financial products for business customers.
  • Strong understanding of credit risk, financial analysis, and regulatory compliance in the credit card industry.
  • Experience with product innovation, customer acquisition strategies, and digital transformation in the payments space. 


Exempt Status: (Yes = not eligible for overtime pay) (No = eligible for overtime pay)

Yes

Workplace Type:

Office

Our Approach to Office Workplace Type

Certain positions outside our branch network may be eligible for a flexible work arrangement. Weโ€™re combining the best of both worlds:  in-office and work from home. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. Remote roles will also have the opportunity to come together in our offices for moments that matter. Specific work arrangements will be provided by the hiring team.

Compensation Range:

$155,000 - $255,000 Annual Salary

The compensation range represents the anticipated low and high end of the base compensation range for this position. Actual compensation will vary based on various factors including but not limited to location, experience, and education. โ€ฏColleagues in this position are also eligible to participate in an applicable incentive compensation plan. โ€ฏIn addition, Huntington provides a variety of benefits to colleagues, including health insurance coverage, wellness program, life and disability insurance, retirement savings plan, paid leave programs, paid holidays and paid time off (PTO). 

Huntington is an Equal Opportunity Employer.

Tobacco-Free Hiring Practice: Visit Huntington's Career Web Site for more details.

Note to Agency Recruiters:  Huntington will not pay a fee for any placement resulting from the receipt of an unsolicited resume.  All unsolicited resumes sent to any Huntington colleagues, directly or indirectly, will be considered Huntington property. Recruiting agencies must have a valid, written and fully executed Master Service Agreement and Statement of Work for consideration.