1

Amazon Computer Science Internship Jobs in Reno, NV

Bachelor's degree in Computer Science, Information Systems, or a related field (or 3 years of ... internships count). Technical Requirements: JavaScript: 1-2 years. CSS: 1-2 years. APIs: 1-2 years.

Software Engineer I

Sparks, NV · On-site

$45K - $52K/yr

Bachelor's degree in Computer Science, Information Systems, or a related field (or 3 years of ... internships count). * Technical Requirements: * JavaScript: 1-2 years. * CSS: 1-2 years. * APIs: 1 ...

Software Engineer I

Sparks, NV · On-site

$45K - $52K/yr

Bachelor's degree in Computer Science, Information Systems, or a related field (or 3 years of ... internships count). * Technical Requirements: * JavaScript: 1-2 years. * CSS: 1-2 years. * APIs: 1 ...

... computer science, or related technical field; or equivalent work experience. Prior related internship experience required. Basic knowledge of programming in client/server and/or web development ...

Hamilton Company is offering an internship opportunity to Accounting & Finance students to work ... Strong computer skills (Word, Excel, Outlook, PowerPoint). * Current enrollment in an Accounting ...

New

next page

Showing results 1-20

Amazon Computer Science Internship information

See Reno, NV salary details

$13

$25

$38

How much do amazon computer science internship jobs pay per hour?

As of Jun 18, 2026, the average hourly pay for amazon computer science internship in Reno, NV is $25.34, according to ZipRecruiter salary data. Most workers in this role earn between $20.62 and $28.75 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Amazon Computer Science Intern, and why are they important?

To thrive as an Amazon Computer Science Intern, you need a solid understanding of computer science fundamentals, programming languages like Java or Python, and currently be enrolled in a relevant degree program. Familiarity with version control systems (e.g., Git), cloud platforms such as AWS, and debugging or development tools is typically expected. Strong problem-solving, teamwork, and effective communication skills help interns collaborate and learn quickly in a fast-paced environment. These abilities enable interns to contribute meaningfully to projects, adapt to Amazon’s dynamic culture, and maximize their learning experience.

What is an Amazon Computer Science Internship?

An Amazon Computer Science Internship is a paid, hands-on opportunity for students studying computer science or related fields to gain real-world experience at Amazon. Interns work alongside experienced engineers on impactful projects, often involving software development, systems engineering, or data analysis. The program typically runs for 12-16 weeks during the summer and offers mentorship, networking, and potential pathways to full-time roles. Interns can expect to enhance their technical skills, contribute to innovative solutions, and learn about Amazon’s culture and technologies.

What types of projects do Amazon Computer Science Interns typically work on, and how are they assigned?

Amazon Computer Science Interns are usually assigned to real-world projects that have a tangible impact on the company's products and services. These projects can range from developing scalable web services, improving machine learning models, to optimizing backend systems for performance. Interns are matched with teams based on their skill set, interests, and the needs of the business, ensuring a meaningful learning experience. Collaboration is key: interns work closely with experienced engineers, participate in code reviews, and often present their solutions to stakeholders. This hands-on environment helps interns build both technical and teamwork skills.
What are popular job titles related to Amazon Computer Science Internship jobs in Reno, NV? For Amazon Computer Science Internship jobs in Reno, NV, the most frequently searched job titles are:
What job categories do people searching Amazon Computer Science Internship jobs in Reno, NV look for? The top searched job categories for Amazon Computer Science Internship jobs in Reno, NV are:
Infographic showing various Amazon Computer Science Internship job openings in Reno, NV as of June 2026, with employment types broken down into 22% Internship, 66% Full Time, and 12% Part Time. Highlights an 92% In-person, and 8% Remote job distribution, with an average salary of $52,712 per year, or $25.3 per hour.

Software Engineer, Data Infrastructure & Acquisition - Reno, NV, USA

Speechify

Reno, NV • On-site

$114K - $137K/yr

Other

This job post has expired today. Applications are no longer accepted.


Job description

The mission of Speechify is to make sure that reading is never a barrier to learning.
Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading - PDFs, books, Google Docs, news articles, websites - into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.
Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting - Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.
Overview
We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.
What You'll Do

  • Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
  • Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
  • Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
  • Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team's dataset roadmap to power Speechify's next-generation consumer and enterprise products.
An Ideal Candidate Should Have
  • BS/MS/PhD in Computer Science or a related field.
  • 5+ years of industry experience in software development.
  • Proficiency with bash/Python scripting in Linux environments
  • Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
  • Experience with web crawlers, large-scale data processing workflows is a plus
  • Ability to handle multiple tasks and adapt to changing priorities.
  • Strong communication skills, both written and verbal.
What we offer
  • A fast-growing environment where you can help shape the company and product.
  • An entrepreneurial-minded team that supports risk, intuition, and hustle.
  • A hands-off management approach so you can focus and do your best work.
  • An opportunity to make a big impact in a transformative industry.
  • Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
  • Opportunity to work on a life-changing product that millions of people use.
  • Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
  • Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

Compensation: The United States base salary range for this full-time position is $140,000-$200,000 + bonus + equity depending on experience
Think you're a good fit for this job?
Tell us more about yourself and why you're interested in the role when you apply.
And don't forget to include links to your portfolio and LinkedIn.
Not looking but know someone who would make a great fit?
Refer them!
Speechify is committed to a diverse and inclusive workplace.
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.