Machine Learning Research Engineer, Apple Intelligence

Apple Inc.; Bengaluru; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

Apple Inc. is seeking an accomplished ML Researcher to lead generative modeling pipelines for international languages. You will design, train, evaluate, and deploy NLP models, focusing on cross-language adaptability and safety controls.

The role entails full-stack responsibility from data preprocessing to deployment, collaborating with engineers across Apple Intelligence. Strong ML/NLP expertise and multilingual experience are essential.

Qualifications

• Proven ML research experience with NLP and generative models.
• Strong coding skills in Python and ML libraries.
• Experience with tokenization and language modeling workflows.

Responsibilities

• Own end-to-end generative modeling pipelines for international languages.
• Collaborate with ML and software engineers to deploy models at scale.
• Explore and implement innovative NLP methods for multilingual markets.

Skills

Machine Learning

Python

multilingual NLP

Objective-C/Swift

PyTorch

TensorFlow

NLP

Language Modeling

Tools

PyTorch

TensorFlow

Swift

Python Libraries

Job description

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. 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!

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.

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