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Fall Internships Jobs (NOW HIRING)

Akola Project

Fall Internship: Marketing

Dallas, TX

$14.75 - $19.75/hr

Akola internships are a great opportunity for you to apply your learnings and experience to make ... Fall internship class begins August 31 and ends December 11, 2015. Positions are unpaid, but ...

Akola Project

Fall Internship: Sales

Dallas, TX

$14.75 - $20/hr

Akola internships are a great opportunity for you to apply your learnings and experience to make ... Fall internship class begins August 31 and ends December 11, 2015. Positions are unpaid, but ...

Pathstone

Tax Intern

Atlanta, GA

Pathstone is seeking candidates for Summer, Spring, and Fall internships that are working toward a bachelor's degree or recently graduated. Pathstone is committed to creating a diverse environment ...

Akola Project

Fall Internship: Development

Dallas, TX · On-site

$14.75 - $19.75/hr

Akola internships are a great opportunity for you to apply your learnings and experience to make ... Fall internship class begins August 31 and ends December 11, 2015. Positions are unpaid, but ...

Akola Project

Fall Internship: Sales

Dallas, TX · On-site

$14.75 - $20/hr

Akola internships are a great opportunity for you to apply your learnings and experience to make ... Fall internship class begins August 31 and ends December 11, 2015. Positions are unpaid, but ...

Akola Project

Fall Internship: Marketing

Dallas, TX · On-site

$14.75 - $19.75/hr

Akola internships are a great opportunity for you to apply your learnings and experience to make ... Fall internship class begins August 31 and ends December 11, 2015. Positions are unpaid, but ...

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Fall Internships information

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$20K

$40.7K

$53K

How much do fall internships jobs pay per year?

As of Jun 9, 2026, the average yearly pay for fall internships in the United States is $40,686.00, according to ZipRecruiter salary data. Most workers in this role earn between $36,000.00 and $45,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in Fall Internship positions, and why are they important?

To thrive in Fall Internship roles, you generally need a strong academic background in a relevant field, a willingness to learn, and basic knowledge related to the industry. Familiarity with productivity tools such as Microsoft Office, Google Workspace, or industry-specific software may be required depending on the internship focus. Strong communication, time management, and teamwork skills help interns adapt quickly and contribute meaningfully to projects. These qualities enable interns to maximize their learning, make a positive impression, and potentially secure future opportunities.

What is the difference between Fall Internships vs Summer Internships?

AspectFall InternshipsSummer Internships
TimingTypically September to DecemberTypically June to August
Work EnvironmentSame as summer, often less crowdedPeak activity period, more networking opportunities
Credentials NeededUsually requires enrollment in a related programSame as fall, often more competitive
Industry UsageCommon in education, finance, techMost common for a wide range of industries

Fall Internships and Summer Internships differ mainly in timing, with fall internships occurring during the academic semester and summer internships during the summer break. Both offer valuable work experience, but summer internships often have more applicants and a more dynamic environment. Choosing between them depends on your academic schedule and career goals.

What are some common challenges students face during fall internships and how can they overcome them?

Fall interns often juggle academic responsibilities alongside their internship commitments, which can create time management challenges. To overcome this, it's important to communicate clearly with both your academic advisors and your internship supervisor about your schedule and workload. Additionally, interns may encounter a steep learning curve as they adapt to professional expectations and new tasks. Seeking feedback, actively participating in team meetings, and taking initiative to ask questions can help you grow and make the most of your internship experience.

What are fall internships?

Fall internships are temporary work experiences that typically take place during the autumn academic semester, usually from late August or early September through December. They allow students or recent graduates to gain hands-on experience in their field of interest while balancing coursework. Fall internships can be part-time or full-time and may be paid or unpaid, depending on the employer. These opportunities help participants build professional skills, expand their networks, and enhance their resumes for future job searches.

Can you get internships in the fall?

Fall internships are common across many industries and typically run from September to December. Many organizations offer internship programs during this period, often requiring early application and interview processes. Internships in the fall provide opportunities to gain experience, develop skills, and build professional networks before the year ends.
More about Fall Internships jobs
What cities are hiring for Fall Internships jobs? Cities with the most Fall Internships job openings:
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Fall Internships jobs near you
Infographic showing various Fall Internships job openings in the United States as of June 2026, with employment types broken down into 33% Full Time, and 67% Part Time. Highlights an 100% In-person job distribution, with an average salary of $40,686 per year, or $19.6 per hour.
Master's Fall Machine Learning Internship (ATG - Visual Search)

Master's Fall Machine Learning Internship (ATG - Visual Search)

Pinterest

Seattle, WA • On-site, Remote

Other

Posted 17 days ago

Job description

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

As a machine learning intern in our Advance Technology Group at Pinterest, you will be exposed to a full spectrum of ML product development. The team focuses on developing cutting-edge technologies for Pinterest's visual understanding modules and recommender systems. You'll conduct research that can be applied across Pinterest engineering teams and engage in external collaborations and mentoring, while also having opportunities to deploy features to hundreds of millions of users or conduct research applicable for paper submissions. We offer a 12-week fall internship program remotely or in our San Francisco, Palo Alto, Seattle, or New York offices.

Note to applicants:

By applying to this role, you will be considered for multiple intern roles open across our various ML teams. Please only apply once within the USA or Canada as multiple applications may delay our recruitment process.

Internships are 12 weeks paid from September 21 - December 11, 2026. Depending on the team, our fall internships will be located either remote or hybrid in San Francisco, Palo Alto, New York or Seattle offices.


What you'll do:

  • Develop and launch new user features using unique internal datasets and ML techniques, especially in computer vision, generative AI, and responsible AI.
  • Gain hands-on experience with production ML systems, including algorithmic research, infrastructure, data engineering, training, inference, and product, to deliver innovative solutions. You will be exposed to full-stack production ML systems.
  • Leverage frontier AI tools and agents to accelerate engineering implementation, including prototyping and experimentation work.
  • Validate AI-generated outputs through testing, code review, and critical thinking, ensuring solutions are accurate, maintainable, secure, and aligned with team standards.
  • Use AI to better understand unfamiliar code, investigate bugs, and summarize technical context or documentation.
  • Contribute in cutting-edge research in machine learning and artificial intelligence that can be applied to Pinterest problems
  • Write clean, efficient, and sustainable code
  • Take proactive ownership over the completion and quality of your tasks and project with minimal guidance from your mentor, manager, and peers


What we're looking for:

  • This role will be on our Visual Search team. We are looking for candidates with experience in Computer Vision, Visual Search, User Understanding, Generative AI, and LLMs.
  • Ability to legally work full time (40 hours/week) from September-December 2026
  • Working towards a Master's degree in Computer Science, ML, NLP, Statistics, Information Sciences or related field
  • Mastery of at least one systems language (Java, C++, Python) and one ML framework (Tensorflow, Pytorch, MLFlow)
  • Proficiency with AI-native engineering, including the design of agent-friendly codebases.
  • High degree of autonomy in learning new agent-first development tools.
  • Strong critical thinking when working with AI-generated suggestions, with a clear approach to validating correctness, performance, security, and maintainability.
  • Comfort iterating on prompts, refining workflows, and adapting AI-assisted approaches based on the problem, context, and constraints.
  • Experience in research and in solving analytical problems
  • Strong communicator and team player. Being able to find solutions for open-ended problems.

Preferred Qualifications:

    • Publications in machine learning, AI, data science, data analytics, statistics, or related technical fields
    • Strong passion for research and for answering hard questions with research
    • Passion for applied ML and the Pinterest product

Why Intern at Pinterest?

  • Meaningful Work: Contribute to projects that impact millions of users worldwide.
  • Mentorship: Learn from and be guided by experienced engineers and researchers in the field.
  • Growth and Development: Participate in professional development workshops and networking events to build your skills and connections.


In-Office Requirement Statement:

  • We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection
  • This role may require you to be located near an office for in-person collaboration, and therefore may need to be located a commutable distance from one of our Pinterest offices.

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.


US based applicants only

The salary for this position is $11,00 monthly.

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Our Commitment to Inclusion:

Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.

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