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Internship Language Learning App Jobs in Seattle, WA

Amazon

Senior Machine Learning Compiler Engineer

Seattle, WA · On-site

$139K - $183K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

About the team BASIC QUALIFICATIONS - 5+ years of non-internship professional software development ... programming language experience - 5+ years of leading design or architecture (design patterns ...

Sound

Internship Program 2026 - North Region

Seattle, WA

$20 - $26/hr

Interns will be exposed to training and learning opportunities to best understand the work in ... language abilities. Candidates should be adaptive in their ability to work in a number of ...

Sound

Internship Program 2026 - North Region

Seattle, WA

$20 - $26/hr

Interns will be exposed to training and learning opportunities to best understand the work in ... language abilities. Candidates should be adaptive in their ability to work in a number of ...

Sound

Internship Program 2026 - North Region

Seattle, WA · On-site

$20 - $26/hr

Interns will be exposed to training and learning opportunities to best understand the work in ... language abilities. Candidates should be adaptive in their ability to work in a number of ...

Conversica, Inc

Data Scientist

Seattle, WA · On-site

... interns in the areas of natural language processing, natural language generation, and deep learning. Recognized by Gartner, INC, Harvard Business Review, etc, we are passionate, driven, self-starting ...

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All JobsLanguage Learning App JobsInternship Language Learning App JobsInternship Language Learning App Jobs in Seattle, WA

Internship Language Learning App information

See Seattle, WA salary details

$10

$19

$27

How much do internship language learning app jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for internship language learning app in Seattle, WA is $19.39, according to ZipRecruiter salary data. Most workers in this role earn between $16.39 and $21.88 per hour, depending on experience, location, and employer.

What is an internship at a language learning app?

An internship at a language learning app is a temporary position, usually for students or recent graduates, where you work with a company that develops software or digital platforms to help people learn new languages. Interns may be involved in areas such as content creation, app development, marketing, user experience design, or customer support. The internship provides valuable hands-on experience, networking opportunities, and insight into the education technology industry. It can be a stepping stone to a full-time role or help build relevant skills for future career opportunities.

What are the key skills and qualifications needed to thrive in an internship at a language learning app, and why are they important?

To thrive in an Internship at a Language Learning App, you generally need a background in linguistics, language studies, or education, along with strong written and verbal communication skills. Familiarity with language learning platforms, digital content creation tools, and basic data analysis or project management systems is often expected. Creativity, adaptability, and strong collaboration skills help interns contribute fresh ideas and work effectively within diverse teams. These skills are crucial for producing engaging content, supporting user needs, and driving innovation in a fast-evolving digital learning environment.

What kinds of projects or tasks can interns expect to work on at a language learning app?

Interns at a language learning app company are often involved in a variety of hands-on projects, such as assisting with content creation, supporting user experience testing, and analyzing user feedback to improve app features. You may collaborate with linguists, software developers, and marketing teams to help design and refine language lessons or gamified activities. This environment offers valuable exposure to both educational technology and agile product development, providing interns with practical skills and insights into the fast-paced edtech industry.

What is the difference between Internship Language Learning App vs Language Tutor?

AspectInternship Language Learning AppLanguage Tutor
CredentialsTypically no formal certification requiredOften requires teaching certifications or language proficiency tests
Work EnvironmentOnline platform, flexible hours, self-pacedIn-person or online, scheduled sessions with students
Employer & IndustryEdtech companies, startups, online education platformsPrivate tutors, language schools, online tutoring services
Search & Comparison IntentLooking for internship opportunities in language learning appsSeeking language tutoring jobs or services

The Internship Language Learning App focuses on providing internship opportunities within educational technology platforms, often involving app development or content creation. In contrast, a Language Tutor offers personalized instruction, either online or in person, to individual learners. While both roles involve language education, the app internship emphasizes technical and developmental skills, whereas the tutor role centers on direct teaching and student interaction.

What are the most commonly searched types of Language Learning App jobs in Seattle, WA?

The most popular types of Language Learning App jobs in Seattle, WA are:

What are popular job titles related to Internship Language Learning App jobs in Seattle, WA?

For Internship Language Learning App jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Internship Language Learning App jobs in Seattle, WA look for?

The top searched job categories for Internship Language Learning App jobs in Seattle, WA are:

Internship Language Learning App jobs near you
Infographic showing various Internship Language Learning App job openings in Seattle, WA as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 21% Part Time, 1% Temporary, and 3% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $40,327 per year, or $19.4 per hour.

Senior Deep Learning Compiler Engineer

Nvidia

Redmond, WA

$117K - $160K/yr

Full-time

Re-posted 16 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 244 rated software companies

Job description

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology-and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world

We are looking for a Deep Learning Compiler Engineer. NVIDIA is hiring software engineers for its Deep Learning Compiler (DLC) team. Academic and commercial groups around the world are using GPUs to power a revolution in deep learning, enabling breakthroughs in many areas, e.g. large language models, generative AIs, recommendation systems, image classification, speech recognition, etc. Our DLC has been the backbone of NVIDIA inference engine, spanning across data centers, personal devices, automotive, and robotics. The compiler must deliver leading inference performance, fast build time, reduced memory footprints, and ease of use in the forms of both Ahead-of-Tine and Just-in-Time. Join the team building the DLC which will be used by the entire deep learning community.

What you'll be doing:

  • Analyzing deep learning networks and developing compiler optimization algorithms.

  • Collaborating with members of the deep learning software framework teams and the hardware architecture teams to accelerate the next generation of deep learning software.

  • Scope of these efforts includes defining public APIs, performance optimizations and analysis, crafting and implementing compiler infrastructure techniques for neural networks, and other general software engineering work.

What we need to see:

  • Bachelors, Masters or Ph.D. in Computer Science, Computer Engineering, related field or equivalent experience

  • 3+ years of relevant work or research experience in performance analysis and compiler optimizations.

  • Ability to work independently, define project goals and scope, and lead your own development efforts.

  • Excellent C/C++ and Python programming and software design skills, including debugging, performance analysis, and test design.

  • Strong interpersonal skills are required along with the ability to work in a dynamic product-oriented team.

Ways to stand out from the crowd:

  • Proficient in CPU and/or GPU architecture. CUDA or OpenCL programming experience.

  • Experiences in systems with constrained resources, such as embedded platforms, small memory size, and cross compilation.

  • Experience with the following technologies: MLIR, XLA, TVM, LLVM, deep learning models and algorithms, and deep learning frameworks, such as PyTorch.

  • GPU kernel generation with high performance and fast build time.

  • A track record of success in mentoring junior engineers and interns is a bonus.

With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most brilliant and hardworking people in the world working with us and our product lines are growing fast in some of the hottest state of the art fields such as Virtual Reality, Artificial Intelligence, Deep Learning and Autonomous Vehicles.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until May 4, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.#deeplearning

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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