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Machine Learning Winter Internship information

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$25.5K

$42.6K

$88K

How much do machine learning winter internship jobs pay per year?

As of Jul 11, 2026, the average yearly pay for machine learning winter internship in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

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 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 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.

More about Machine Learning Winter Internship jobs
What cities are hiring for Machine Learning Winter Internship jobs? Cities with the most Machine Learning Winter Internship job openings:
What states have the most Machine Learning Winter Internship jobs? States with the most job openings for Machine Learning Winter Internship jobs include:
What job categories do people searching Machine Learning Winter Internship jobs look for? The top searched job categories for Machine Learning Winter Internship jobs are:
Machine Learning Winter Internship jobs near you
Infographic showing various Machine Learning Winter Internship job openings in the United States as of July 2026, with employment types broken down into 9% Internship, 1% As Needed, 68% Full Time, 20% Part Time, 1% Temporary, and 1% Contract. Highlights an 87% Physical, 1% Hybrid, and 12% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.
Winter Internship 2027 | Audit Intern | San Diego (49581)

Winter Internship 2027 | Audit Intern | San Diego (49581)

Citrin Cooperman

San Diego, CA

$20 - $30/hr

Other

Re-posted 20 days ago

Job description

Citrin Cooperman offers a dynamic work environment, fostering professional growth and collaboration. We’re continuously seeking talented individuals who bring fresh perspectives, a problem-solving mindset, and sharp technical expertise. We know you have choices, so our team of collaborative, innovative professionals are ready to support your professional development. At Citrin Cooperman, we offer competitive compensation and benefits and most importantly, the flexibility to manage your personal and professional life to focus on what matters most to you! 

An Audit intern is provided with tools and training to gain professional skills and experience. The internship is structured as a learning experience that combines class theory with real world applications. 

The Winter Internship Program is during our busy season, usually beginning early January and ending in April or May depending on your department.

Responsibilities: 

  • Provide and organize financial information.  

  • Prepare tax extensions, account analysis and reconciliations.   

  • Maintain accounting records. 

  • Various administrative tasks, as needed. 

  • Qualified candidates will be a junior or year prior to graduation (dependent on 4- or 5-year program) in an accounting program. 

  • Have the flexibility to work Monday – Thursday in person/in the office each week. 

  • Have the flexibility to work weekends as needed.   

  • Have a minimum GPA of 3.0/4.0.  

  • Have strong organizational, interpersonal and communication skills. 

  • Be detail-oriented.  

  • Be proficient in Microsoft Office Suite. 

  • Must be authorized to work in the US. 

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