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Internship Research Assistant Machine Learning Jobs in Wisconsin

Research Assistant will assist with user testing and user centered design of biometric technologies ... in machine learning and data science; advanced degrees may offset experience requirements ...

To be successful you should have 0-3 years of of professional or internship experience in machine learning, data science, or software engineering. Also proficiency in Python and familiarity with ML ...

Assistant Machine Operator

Oshkosh, WI · On-site

$16.50 - $19.50/hr

Start by learning the basics in departments like Clean Room, Coating, Converting, Extrusion ... Do: * Assist Operator with all aspects of the job * Learn to operate the machine and serve as ...

Assistant Machine Operator

Oshkosh, WI · On-site

$16.50 - $19.50/hr

Start by learning the basics in departments like Clean Room, Coating, Converting, Extrusion ... Do: * Assist Operator with all aspects of the job * Learn to operate the machine and serve as ...

$225K - $260K/yr

The role collaborates closely with ML researchers and infrastructure teams, influencing the design ... Hands-on experience training machine learning models across multiple GPUs or compute nodes ...

Research Assistant Job Category: Student Hourly Job Profile: Student Help Job Summary: * Set up ... The university is committed to creating a safe, inclusive learning community for all faculty and ...

Research Assistant Job Category: Student Hourly Job Profile: Student Help Job Summary: Set up ... The university is committed to creating a safe, inclusive learning community for all faculty and ...

About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

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Internship Research Assistant Machine Learning information

What are the big 4 internships?

The 'Big 4' internships typically refer to internship programs offered by the four largest professional services firms: Deloitte, PricewaterhouseCoopers (PwC), Ernst & Young (EY), and KPMG. These firms offer internships in areas such as consulting, audit, tax, and advisory, providing valuable experience for aspiring professionals, including those interested in roles like Internship Research Assistant in machine learning if related to data analysis or consulting projects. Securing these internships often requires strong academic performance, relevant skills, and competitive application processes.

Which 5 jobs will survive AI?

For an Internship Research Assistant in Machine Learning, roles that involve complex problem-solving, creativity, and human judgment—such as research scientist, data scientist, AI ethicist, machine learning engineer, and technical project manager—are more likely to persist despite AI advancements. These positions require specialized skills, critical thinking, and collaboration that are difficult for AI to fully replicate. Continuous learning and expertise in tools like Python, TensorFlow, or PyTorch enhance job security in this field.

How to get an AI ML internship?

To secure an AI ML internship, candidates should develop strong programming skills in languages like Python, gain experience with machine learning frameworks such as TensorFlow or PyTorch, and build a portfolio of relevant projects. Applying through company career portals, leveraging university connections, and demonstrating knowledge of data analysis and algorithms can improve chances. Internships often require a background in computer science, mathematics, or related fields, and may involve technical assessments or interviews.

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

AspectInternship Research Assistant Machine LearningResearch Assistant Data Science
Required CredentialsUndergraduate or graduate in CS, AI, or related fieldsUndergraduate or graduate in CS, Statistics, or related fields
Work EnvironmentAcademic labs, research institutions, tech companiesAcademic institutions, research centers, industry
Employer & Industry UsageUniversities, research firms, tech companies focusing on AI/MLUniversities, research organizations, data-driven industries
Common Search & ComparisonYesYes

The Internship Research Assistant Machine Learning and Research Assistant Data Science roles share similarities in educational background and work environments. However, the Machine Learning position emphasizes AI and ML-specific skills, while Data Science focuses more on statistical analysis and data management. Both roles are common in academic and industry settings, often compared by students and professionals exploring research opportunities in data-driven fields.

How much do ML interns get paid?

Machine Learning internship research assistants typically earn between $15 and $30 per hour, depending on the company, location, and level of experience. Paid internships often include opportunities to work with tools like Python and TensorFlow and may be full-time or part-time during the summer or academic year.
What are popular job titles related to Internship Research Assistant Machine Learning jobs in Wisconsin? For Internship Research Assistant Machine Learning jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Internship Research Assistant Machine Learning jobs in Wisconsin look for? The top searched job categories for Internship Research Assistant Machine Learning jobs in Wisconsin are:
What cities in Wisconsin are hiring for Internship Research Assistant Machine Learning jobs? Cities in Wisconsin with the most Internship Research Assistant Machine Learning job openings:
Research Assistant

$21 - $31/hr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 13 days ago


Key responsibilities

  • Assist with user testing and user centered design of biometric technologies for audio captcha technology.

  • Supervise and work alongside undergraduate students while contributing to briefs, reports, and scientific publications.

  • Assist with AI research initiatives from conception to implementation and analyze research data.


Job description

The Talent Acquisition department hires qualified candidates to fill positions which contribute to the overall strategic success of Howard University. Hiring staff "for fit" makes significant contributions to Howard University's overall mission.

At Howard University, we prioritize well-being and professional growth.

Here is what we offer:

  • Health & Wellness: Comprehensive medical, dental, and vision insurance, plus mental health support
  • Work-Life Balance: PTO, paid holidays, flexible work arrangements
  • Financial Wellness: Competitive salary, 403(b) with company match
  • Professional Development: Ongoing training, tuition reimbursement, and career advancement paths
  • Additional Perks: Wellness programs, commuter benefits, and a vibrant company culture

Join Howard University and thrive with us!

https://hr.howard.edu/benefits-wellness

JOB PURPOSE:

Research Assistant will assist with user testing and user centered design of biometric technologies necessary for creating audio captcha technology. The candidate should be well-informed about the scientific method, human subjects research, and data analysis using computational and statistical techniques. The Research Assistant will assist in preparation of briefs to the sponsor and engage in regular meeting updates to the sponsor on project deliverables.

SUPERVISORY AUTHORITY:

Research Assistant will supervise and work alongside the undergraduate students. Research Assistant will contribute towards monthly reports, quarterly reports and scientific publications.

NATURE AND SCOPE:

Internal contacts include RITA HQ Team and the entire Howard University community. External contacts include as directed.

PRINCIPAL ACCOUNTABILITIES:

Assist with AI research initiatives from conception to implementation.

Analyze research data critically, translating findings into actionable insights.

Collaborate across disciplines, integrating diverse expertise into your work.

Disseminate knowledge through scholarly papers and compelling presentations to stakeholders.

Design and validate NLP techniques, contributing to the broader field with innovative solutions.

Engage in developing and evaluating human-machine interfaces and systems integration, enhancing human performance through technology.

CORE COMPETENCIES:

Mastery of programming languages (Python, Java, C++, C, R) and command-line scripting.

Expertise in ML frameworks (scikit-learn, TensorFlow, PyTorch) and data processing (JSON, XML).

Exceptional communication and collaborative skills.

MINIMUM REQUIREMENTS:

Bachelor of Science in Computer Science, Computer Engineering, Information Systems,5+ years in machine learning and data science; advanced degrees may offset experience requirements

Compliance Salary Range Disclosure

$21.00-$31.00