1,305 jobs for "Software Engineering Intern"

Machine Learning Engineer, Apple Intelligence

At Apple - Bengaluru

Posted on Oct 19

View job Apply on company site

2027 Summer Intern: Data Science

At Spectrum - Greenwood Village

Posted on Nov 8

View job Apply on company site

Full Stack Engineer 4 (Go & Angular) (Cloud Operations Resilience Engineering)

At Capital One - Plano

Posted on Nov 5

View job Apply on company site

Principal Associate - Software Engineer

At Capital One - Bengaluru

Posted on Nov 1

View job Apply on company site

Engineering Program Manager, Security Compliance, Apple Services Engineering

At Apple - Austin

Posted on Oct 19

View job Apply on company site

Senior Software Engineer - Full Stack

At Capital One

Posted on Oct 31

View job Apply on company site

Senior Software Engineer - Fulfillment Ops

At Apple - Austin

Posted on Oct 19

View job Apply on company site

Lead Site Reliability Engineer

At Mastercard

Posted on Oct 2

View job Apply on company site

Intern, R&D Undergraduate Summer - TITANS Software, Onsite

At Sandia National Laboratories

Posted on Sep 24

View job Apply on company site

Software Engineer II: AI Inhouse Adoption

At Cadence Design Systems - Belo Horizonte

Posted on Sep 29

View job Apply on company site

Senior Embedded Software Engineer

At Leidos - Huntsville

Posted on Sep 29

View job Apply on company site

Software Engineer Graduate (Foundation Platform) - 2027 Start

At TikTok - San Jose

Posted on Aug 15

View job Apply on company site

Software Engineer Intern (Foundation Platform) - 2027 Summer

At TikTok - San Jose

Posted on Aug 6

View job Apply on company site

Senior ML Platform Engineer

At Mastercard - Budapest

Posted on Sep 14

View job Apply on company site

Configuration Management Engineer II

At Cadence Design Systems - Bangalore

Posted on Sep 16

View job Apply on company site

Intern, Technical Graduate Summer - TITANS Software, Onsite

At Sandia National Laboratories

Posted on Sep 24

View job Apply on company site

Intern, Technical Undergraduate Summer - TITANS Software, Onsite

At Sandia National Laboratories

Posted on Sep 23

View job Apply on company site

Backend Software Engineer Intern (TikTok-Privacy and Security) - 2027 Summer

At TikTok - San Jose

Posted on Aug 3

View job Apply on company site

Carrier Account Manager,Wireless Technology & Ecosystems

At Apple - London

Posted on Oct 17

View job Apply on company site

Applied Data Solutions Program, Internships - Summer 2027

At Apple - Austin

Posted on Oct 17

View job Apply on company site

Apple

Machine Learning Engineer, Apple Intelligence

Bengaluru, IndiaPosted 20 days ago

Apply on company site View full job

Why you should apply for a job to Apple:

Ranked as one of the Best Technology Companies in 2020
3.7/5 in overall job satisfaction
3.1/5 in supportive management
66% say women are treated fairly and equally to men
65% would recommend this company to other women
66% say the CEO supports gender diversity

Ratings are based on anonymous reviews by Fairygodboss members. See all reviews ›

Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build or service we create, we deliver is the result of us making each other's ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It's the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you'll do more than join something - you'll add something.

Product Engineering International, part of the esteemed Software Engineering Organization, is seeking an accomplished ML Researcher to spearhead the development of cutting-edge generative modeling pipelines for a diverse range of popular international languages.

Description
As a key pillar of Apple Intelligence, you bring impact to billions of users with your ML expertise, engineering passion, and programming skills. You will work with a hard-working and dedicated set of outstanding ML and software engineers on a wide range of most advanced text generation technologies such as context-augmented text rewriting, safety-controlled text composition, free-form text transformation, personalized smart interactions, etc.

Our team specifically focuses on generative technologies for key International markets and ensure that experience is top class for the popular languages in these markets. If you want to amplify your strong ML and NLP skills into user experiences that will reach every person around you, this is the perfect opportunity!

In this pivotal role, you will be at the forefront of natural language processing, designing and implementing end-to-end solutions that will:

- Drive Innovation in Generative Modeling: Focus exclusively on building and optimizing generative models for international languages.

- Full-Stack Language Expertise: Own the entire generative modeling pipeline, from data preprocessing and model architecture design to training, evaluation, and deployment.

- Language Diversity: Prioritize working with a variety of popular international languages, ensuring our models are culturally and linguistically adaptable.

Are you a passionate ML researcher with a deep interest in natural language processing and a talent for building generative models that work seamlessly across languages? Join our team and make a meaningful impact!

Preferred Qualifications
Proven experience leveraging AI-assisted development tools - such as Claude, Copilot, or equivalent - to meaningfully accelerate experimentation, code development, and research workflows.
Full-stack expertise spanning the entire generative modeling pipeline - from data preprocessing and model architecture design through training, evaluation, and deployment - complemented by a solid foundation in software engineering principles, memory management, code architecture, feature comprehension, framework proficiency, and debugging.
Actively exercising machine learning techniques, including implementing basic optimizers and regularizations; formulating and implementing loss functions for given tasks, applying insightful parameter tuning in model training and evaluation, reproducing and revising state-of-the-art research experiments; addressing accuracy and performance bottlenecks in distributed training and inference, and benchmarking different model compressing methods.
Actively programming with high-quality codes across complex and large repositories, including implementing new optimizer or loss functions, algorithm optimizations for critical performance or accuracy, refactoring or redesigning of existing code-base for improved robustness and flexibility, processing large data set efficiently and accurately, establishing automated synthesis/training/evaluation pipeline across multiple sets of internal and external APIs, and applying common object-oriented design patterns.
Experience of multi-modal modeling, presenting plans, progress, and results or demos regularly and concisely
Experience in NLP modeling for Indian languages is desired.
Strong problem solving and drive what matters
Results oriented with a desire to work in a fast-paced and fight for excellence.
Ability to communicate effectively and innovate to the details.

Minimum Qualifications
4+yrs of machine learning expertise.
Strong programming using OOPS/C/C++/Objective C/Swift in addition to Python
Good exposure to Deep Learning libraries like PyTorch and TensorFlow.
Thorough experience with common NLP algorithms and applications, including tokenisation, language modelling, text decoding, text classifier etc.,
Proven experience navigating and contributing to large-scale, complex codebases, with a disciplined focus on code quality, maintainability, and comprehensive test coverage.

About Apple

Working at Apple means doing more than you ever thought possible and having more impact than you ever imagined.

Size: 10,000+ employees
Industry: Technology: Manufacturing

View company profile