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Machine Learning Winter Internship Jobs in Indiana

Faculty Fellow - Artificial Intelligence

Lafayette, IN ยท On-site

$47K - $64K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Machine Learning * Deep Learning * Natural Language Processing * Responsible and Ethical AI * Data ... Mentor students on research, internships, and career development. Program Development and Service ...

Senior Computer Vision Engineer

Newburgh, IN

$99K - $136K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Work with other engineers to monitor changes in development and implement transfer learning and knowledge distillation between iterative machine learning models * Mentor junior engineers and interns

Senior Computer Vision Engineer

Newburgh, IN ยท On-site

$99K - $136K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Work with other engineers to monitor changes in development and implement transfer learning and knowledge distillation between iterative machine learning models * Mentor junior engineers and interns

Senior Computer Vision Engineer

Newburgh, IN ยท On-site

$99K - $136K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Work with other engineers to monitor changes in development and implement transfer learning and knowledge distillation between iterative machine learning models * Mentor junior engineers and interns

$50/hr

Position Summary Sony AI is seeking research interns who are passionate about ML-based technologies ... Strong analytical and programming skills in deep learning using frameworks and tools for machine ...

$50/hr

Position Summary Sony AI is seeking research interns who are passionate about ML-based technologies ... Strong analytical and programming skills in deep learning using frameworks and tools for machine ...

Showing results 41-60

Machine Learning Winter Internship information

What is a machine learning winter internship?

A Machine Learning Winter Internship is a short-term, practical training program typically offered during the winter months for students or early-career professionals interested in machine learning. Interns work on real-world projects involving data analysis, model development, and algorithm implementation under the guidance of experienced mentors. The internship provides hands-on experience with tools and techniques used in the field, helping participants build technical skills and gain industry exposure. These positions are often offered by tech companies, research labs, or startups and can be either remote or onsite. Successful completion of a machine learning internship can enhance a candidate's resume and open up further career opportunities in artificial intelligence and data science.

What types of projects and tasks can I expect to work on during a machine learning winter internship?

During a Machine Learning Winter Internship, you can expect to work on hands-on projects such as data preprocessing, building and evaluating machine learning models, and assisting with research experiments. Interns often contribute to real-world applications, such as developing predictive analytics tools, optimizing algorithms, or supporting deployment efforts. Collaboration is common, as you'll work closely with data scientists, engineers, and sometimes product teams, giving you exposure to the full machine learning workflow. This environment provides an excellent opportunity to apply theoretical knowledge, gain practical experience, and build a professional network in the field.

What are the key skills and qualifications needed to thrive as a machine learning winter intern, and why are they important?

To thrive as a Machine Learning Winter Intern, you generally need a solid foundation in mathematics, programming (especially Python), and a basic understanding of machine learning concepts, often acquired through coursework or relevant projects. Familiarity with tools such as TensorFlow, PyTorch, and data analysis libraries like Pandas and NumPy is typically required. Strong problem-solving abilities, collaboration, and curiosity help interns stand out in team-based, fast-paced environments. These skills are crucial for effectively contributing to real-world projects and quickly learning from experienced professionals during the internship.

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

AspectMachine Learning Winter InternshipData Science Winter Internship
Required CredentialsUndergraduate or graduate in CS, AI, or related fields; some knowledge of ML frameworksUndergraduate or graduate in Statistics, Math, CS; familiarity with data analysis tools
Work EnvironmentResearch labs, tech companies, startups focusing on ML modelsData analysis, visualization, and interpretation in various industries
Employer & Industry UsageTech firms, AI startups, research institutionsTech companies, finance, healthcare, consulting

While both internships involve working with data, the Machine Learning Winter Internship emphasizes developing and applying ML algorithms, whereas the Data Science Winter Internship focuses on analyzing data, creating reports, and deriving insights. Candidates should choose based on their specific skills and career goals in AI or data analysis.

What job categories do people searching Machine Learning Winter Internship jobs in Indiana look for?

The top searched job categories for Machine Learning Winter Internship jobs in Indiana are:

What cities in Indiana are hiring for Machine Learning Winter Internship jobs?

Cities in Indiana with the most Machine Learning Winter Internship job openings:

Faculty Fellow - Artificial Intelligence

Ivy Tech

Lafayette, IN โ€ข On-site

$47K - $64K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 26 days ago


Job description

Provide instruction (classes and labs) within specific programs; assist academic administrators with curriculum development, student advising, program enrollment; and provide institutional support and community service. Fully support the College's mission and strategic plan initiatives. This position would support the Lafayette campus.
The purpose of a Faculty Fellow position is to provide meaningful teaching experience for recent graduates of masters or doctoral programs with limited classroom experience.
One academic-year contract with a potential for a second academic-year contract. Contingent upon continued funding and satisfactory performance. Two-year maximum allowed per individual per region.
This position is eligible for full-time employee benefits with exception of retirement benefits and tuition reimbursement.
Teaching:
Teach undergraduate courses in artificial intelligence and related disciplines.
Develop new courses and instructional materials in areas such as:
  • Machine Learning
  • Deep Learning
  • Natural Language Processing
  • Responsible and Ethical AI
  • Data Mining and Analytic
  • Incorporate hands-on projects and industry-relevant tools into coursework.
  • Assess student performance and provide timely feedback.
  • Collaborate with faculty across departments.
  • Mentor students on research, internships, and career development.

Program Development and Service:
Assist in developing AI curricula and academic programs.
Participate in departmental meetings and events.
ESSENTIAL FUNCTIONS:
Instruction: Deliver assigned classes in accordance with college loading policy and course objectives. Develop and maintain course outlines, syllabi, lesson plans, assignments, tests, and other course materials. Maintain student records, attendance, grades, and other documentation as required. Maintain a safe, quality classroom/ lab, including equipment, supplies, inventory and maintenance.
Professional Development: Participate in professional development or other activities that may include in-services, courses, or seminars to advance instructional and technical skills as well as knowledge within the field of study.
Community Service: Participate in community service activities on behalf of the college to advance the college's relationships within its service area as appropriate for department/school.
Institutional Support: Provide institutional support as expected by college administration that may include curriculum development, classroom management, accreditation efforts, committee and task force assignments, attendance at commencement or other activities that are college-wide or specific to the department/school of the faculty member.
Advising: Provide student advising support as expected by college administration that may include assistance during pre-and regular registration periods and during posted office hours.
Program Management: Maintain office hours in accordance with the faculty loading guidelines in the Academic Support and Operations Manual (ASOM). Support Program Chair in program management activities.
OTHER FUNCTIONS:
Assist in the recruitment of students.
Develop community/industry contacts.
Serve and participate in campus, regional, and College-wide professional and community activities, committee meetings, and task forces.
Participate in student recognition ceremonies. Maintain budget requirements.
Tools/Equipment Needed: Must have strong working knowledge of current technologies appropriate to area of instruction. The above list of duties is not to be construed as an exhaustive list. Other duties logically associated with the position may be assigned.
Compensation: $55,000 salary base calculated on a 9-month academic year contract. Optional summer contract available based on enrollment and staffing needs.
Required Qualifications:
Masters degree in Computer Science, Software Development, Artificial Intelligence, Data Science, Electrical Engineering, or a closely related field by the appointment start date.
Demonstrated expertise in one or more areas of artificial intelligence.
Strong programming skills in languages such as Python, R, or Java.
Excellent written and verbal communication skills.
Preferred Qualifications
  • Experience with generative AI and large language models.
  • Industry experience in AI or machine learning.
  • Commitment to ethical and responsible AI practices.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud.

Areas of Interest
Candidates with expertise in any of the following areas are encouraged to apply:
  • Machine Learning and Statistical Learning
  • Natural Language Processing
  • Computer Vision
  • Robotics and Autonomous Systems
  • Human-AI Interaction
  • Reinforcement Learning
  • Explainable AI
  • AI Safety and Governance
  • Responsible and Ethical AI
  • Healthcare AI
  • Cybersecurity and AI

Ivy Tech is committed to supporting the well-being, growth, and financial security of our full-time faculty and staff. Our comprehensive benefits package includes:
Health & Wellness
  • Multiple medical plan options paired with a Health Savings Account with a generous employer contribution
  • Dental plan with no-cost preventive services and coverage for orthodontia
  • Vision plan with low-cost exams and allowances for glasses or contact lenses
  • Employee Assistance Program offering no-cost confidential counseling sessions, legal consultations, financial planning consultations, and other resources
  • Wellness program with opportunities to earn $250 in Wellness Rewards
  • Flexible Spending Accounts for healthcare (limited purpose) and dependent care

Retirement & Financial Security
  • 10% employer retirement contribution, fully vested after two years
  • Basic life insurance equal to annual salary paid by the College, with optional supplemental coverage
  • Short-term and long-term disability benefits

Educational Benefits
  • Fee remission for employees, spouses, and dependent children
  • Tuition assistance for undergraduate, graduate, and doctoral programs
  • Paid professional development opportunities

Work-Life Balance
  • Generous paid time off, including vacation, sick leave, holidays, and winter recess
  • Flexible work arrangements where available
  • Paid childbirth recovery leave (8 weeks)
  • Paid parental leave (4 weeks)

Additional Perks
  • Eligibility for Public Service Loan Forgiveness
  • Additional discounts on gym memberships, transportation, and various retail services

Ivy Tech is proud to offer benefits that support your health, your family, and your future-because when our employees thrive, our students and communities thrive too. For more information on Ivy Tech Benefits, visit https://careers.ivytech.edu/benefits.
Note: Employees who re-hire with the College within 180 days of leaving a full-time position with the College may be eligible for additional benefits depending on their bridged seniority date.
Ivy Tech Community College is an accredited, equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, ethnicity, national origin, marital status, religion, sex, gender, sexual orientation, gender identity, disability, age or veteran status. As required by Title IX of the Education Amendments of 1972, Ivy Tech Community College does not discriminate on the basis of sex, including sexual harassment in its educational programs and activities, including employment and admissions. Questions specific to Title IX may be referred to the College's Title IX Coordinator or to the US Department of Education Office of Civil Rights.