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Work Based Learning Intern information

What are the big 4 internships?

The Big 4 internships typically refer to internship programs offered by Deloitte, PricewaterhouseCoopers (PwC), Ernst & Young (EY), and KPMG. These firms are among the largest professional services networks globally and offer internships in areas such as audit, consulting, tax, and advisory, providing valuable experience and potential pathways to full-time employment.

What is a work-based internship?

A work-based internship is a program that provides students or entry-level workers with practical experience in a professional setting related to their field of study or career interests. Interns typically perform tasks under supervision, develop skills, and may earn academic credit or stipends during the internship period.

What is the meaning of work-based learning internship?

A work-based learning internship for a Work Based Learning Intern involves gaining practical experience in a real work environment related to their field of study or career interest. It typically includes hands-on tasks, skill development, and mentorship, often aligned with educational or training programs to prepare students for future employment.

Is 22 too old for an internship?

Work Based Learning Internships are often designed for students or early-career individuals, but age is not a strict barrier. Many internships welcome applicants of all ages who are seeking experience, especially if they are transitioning careers or gaining new skills. Age should not prevent someone from pursuing an internship if they meet the program's requirements and are motivated to learn.

What is the difference between Work Based Learning Intern vs Job Shadow?

AspectWork Based Learning InternJob Shadow
CredentialsUsually students or entry-level individuals; no formal certifications requiredNo formal credentials; observational role
Work EnvironmentHands-on tasks, supervised projects, active participationObservation, learning from professionals, minimal active work
Employer & Industry UsageEducational programs, internships, industry trainingCareer exploration, informational experience

Work Based Learning Interns engage in active, hands-on work to develop skills, often as part of educational programs. In contrast, Job Shadows observe professionals to gain insight into a career without performing active tasks. Both roles are valuable for career exploration but differ in participation level and purpose.

What are the most commonly searched types of Work Based Learning jobs in California? The most popular types of Work Based Learning jobs in California are:
What cities in California are hiring for Work Based Learning Intern jobs? Cities in California with the most Work Based Learning Intern job openings:
Work Based Learning Intern jobs near you
Machine Learning Engineer Intern

Machine Learning Engineer Intern

Neuralink

South San Francisco, CA

$35/hr

Other

Posted 4 hours ago

Job description

Team Description:

The Brain Computer Interface (BCI) Applications Team is responsible for delivering a product that gives people with paralysis the ability to control computers, phones, gaming consoles, and robotic arms with their minds at the same speed and functionality level as able-bodied people can. Furthermore, the team is focused on restoring speech for mute individuals and enabling direct, natural silent communication with AI agents.  In this role, you'll work with neuroscientists, physicians, software engineers, and electrical engineers to develop the next-generation human-ready Brain-Computer Interface (BCI). 

Job Description and Responsibilities:

We are hiring a Machine Learning Engineer Intern to develop novel neural decoders to increase control speed and accuracy, improve reliability, and expand functionality of BCIs. You will play a critical role in developing machine learning solutions and driving the successful execution of projects to achieve mission critical goals. You'll work with cross-functional teams to design new BCI functionalities and novel computer user interfaces.

Required Qualifications:

  • Evidence in delivering high-impact projects either in academia or industry
  • Prior experience designing and building Machine Learning models
  • Deep understanding of machine learning concepts and fundamentals
  • Experience in analyzing complex datasets, driving insights, and communicating results in a simple and clear way to both technical and non-technical stakeholders
  • Excellent communication and collaboration skills
  • Strong coding skills, with a focus on clean, efficient, and scalable code development

Preferred Qualifications:

  • Experience working with time series or unstructured data

Expected Compensation:

The anticipated hourly rate for this position is listed below.

California Hourly Rate: 
$35/Hr USD

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