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Comcast Intern Jobs (NOW HIRING)

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Comcast Intern information

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$8

$17

$24

How much do comcast intern jobs pay per hour?

As of Jul 21, 2026, the average hourly pay for comcast intern in the United States is $17.04, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What does a Comcast Intern do?

A Comcast Intern is typically a student or recent graduate who participates in a structured internship program at Comcast, one of the largest telecommunications companies in the U.S. Interns work alongside professionals in various departments such as engineering, marketing, finance, or customer service. Their responsibilities may include assisting with projects, performing research, attending meetings, and gaining hands-on experience in their field of interest. The internship is designed to provide valuable industry insights, professional development, and potential future career opportunities within the company.

What are the key skills and qualifications needed to thrive as a Comcast Intern, and why are they important?

To thrive as a Comcast Intern, you need a solid academic background in your field of study, strong analytical skills, and a willingness to learn. Familiarity with Microsoft Office Suite, collaboration tools like Slack, and sometimes specific technical platforms (depending on the internship focus) is typically expected. Strong interpersonal communication, adaptability, and problem-solving abilities help interns stand out in a dynamic corporate environment. These skills and qualities are crucial for successfully contributing to team projects, adapting to Comcast’s fast-paced culture, and maximizing learning opportunities.

What types of projects and responsibilities can Comcast interns expect during their internship?

Comcast interns typically work on real-world projects that align with their field of study, such as assisting with product development, supporting marketing campaigns, conducting data analysis, or collaborating with engineers on technical initiatives. Interns are encouraged to contribute ideas and are often given ownership of specific tasks, allowing them to see the results of their work. The environment is collaborative, with interns working closely with team members and mentors who provide guidance and feedback. This hands-on experience helps interns build practical skills and expand their professional networks within the company.

What is the difference between Comcast Intern vs Comcast Technician?

AspectComcast InternComcast Technician
Required CredentialsTypically pursuing or recent graduate of relevant field, some internships may require coursework or certificationsHigh school diploma or equivalent; technical certifications often preferred
Work EnvironmentOffice settings, remote work, or on-site at company facilities; limited hands-on technical workFieldwork, on-site at customer locations, technical troubleshooting
Employer & Industry UsageInternships offered by Comcast for training and development in telecommunications industryFull-time role for installing, repairing, and maintaining Comcast services

The Comcast Intern position is primarily an entry-level, training-focused role aimed at students or recent graduates, often involving administrative or support tasks. In contrast, the Comcast Technician is a technical, hands-on role requiring technical skills and certifications to perform installations and repairs. Both roles are essential within the telecommunications industry but differ significantly in responsibilities and experience requirements.

More about Comcast Intern jobs
What cities are hiring for Comcast Intern jobs? Cities with the most Comcast Intern job openings:
What are the most commonly searched types of Comcast jobs? The most popular types of Comcast jobs are:
What states have the most Comcast Intern jobs? States with the most job openings for Comcast Intern jobs include:
Infographic showing various Comcast Intern job openings in the United States as of July 2026, with employment types broken down into 10% As Needed, 69% Full Time, 3% Part Time, 16% Temporary, 1% Contract, and 1% Nights. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $35,436 per year, or $17 per hour.
PhD GenAI Research Scientist Intern

PhD GenAI Research Scientist Intern

Databricks

San Francisco, CA • On-site

$54 - $60/hr

Full-time, Internship

Posted 20 days ago


Job description

Company Description:
At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI platform, so our customers can focus on the high value challenges that are central to their own missions.
The Mosaic AI organization enables companies to develop AI models and systems using their own data, with technologies ranging from fine-tuning LLMs for enterprise domains, to a platform for building compound AI systems that use retrieval and agents. Mosaic AI is committed to the belief that a company's AI models are just as valuable as any other core IP, and that high-quality AI models should be available to all.
Job description:
Most of the world's data+AI problems lie in enterprise domains, behind closed doors. Our research team's goal is to push the frontier of "domain adaptation" - how can we develop LLMs and AI systems that work well for custom domains. To do this we are tackling open research problems on a range of topics, from how to scale/automate eval, fine tune with synthetic data, retrieval augmentation, fast/efficient inference and more.
You will work with our research team on projects focused on adapting LLMs and AI systems towards enterprise domains. This may include:
  • Adapting, improving, and evaluating a method from the literature.
  • Designing an entirely new method for domain adaptation.
  • Composing together multiple methods to create new recipes for efficient post-training.
  • Evaluation of LLMs and AI systems.

Your qualifications and qualities:
  • Required:
    • Research experience in and proficiency with the fundamentals of deep learning.
    • Pursuing a PhD in computer science or related fields (electrical engineering, neuroscience, physics, math, etc.).
    • Proficient software engineering skills, including with PyTorch.

Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
SF Bay Area Hourly Rate
$54-$60 USD
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.