Machine Learning Research Engineer, Apple Intelligence

Lex; Bengaluru; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

Apple Intelligence invites a passionate ML researcher to join a team focused on multilingual NLP and generative modeling. You will work on state-of-the-art text generation, including context-augmented rewriting and safety-aware content, across languages.

As part of a collaborative group of ML and software engineers, you’ll cover data preprocessing, model design, training, evaluation, and deployment to deliver scalable language solutions for international markets.

Qualifications

• 5-8 years of machine learning expertise.
• Strong programming using Python/Objective C/Swift.
• Good exposure to Deep Learning libraries like PyTorch and TensorFlow.
• Thorough experience with common NLP algorithms and applications, including tokenization, language modelling, text decoding, text classifier etc.

Responsibilities

• 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.

Skills

Machine learning

Python

ObjC/Swift

NLP algorithms

PyTorch

TensorFlow

Tools

PyTorch

TensorFlow

Job description

Summary

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.

Role

• 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!

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!

Minimum Qualifications

• 5-8yrs of machine learning expertise.
• Strong programming using Python/Objective C/Swift.
• Good exposure to Deep Learning libraries like PyTorch and TensorFlow.
• Thorough experience with common NLP algorithms and applications, including tokenization, language modelling, text decoding, text classifier etc.,

Preferred Qualifications

• 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.

At Apple, we believe accessibility is a fundamental human right. You'll find that idea reflected in everything here - in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.

Learn about accessibility in Apple's workplace

Role Number: 200614863-0321