Machine Learning Engineer, Apple Intelligence

Apple Inc.

Bengaluru

On-site

INR 4,000,000 - 7,500,000

Full time

14 days+

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Job summary

Apple Inc. is seeking an experienced ML/NLP engineer in Bengaluru to advance generative technology across languages.

You will join a team of ML and software engineers working on state‑of‑the‑art text generation systems for international markets, shaping data preprocessing, modeling, training, evaluation, and deployment. Ideal candidates have 4+ years in ML, strong Python/Obj‑C/Swift coding, and experience with PyTorch and TensorFlow, plus NLP expertise.

Qualifications

  • 4+ years of machine learning expertise.
  • Strong programming using Python, Objective‑C, or Swift.
  • Good exposure to deep learning libraries such as PyTorch and TensorFlow.
  • Thorough experience with NLP algorithms and applications (tokenization, language modelling, text decoding, text classification).

Responsibilities

  • Drive Innovation in Generative Modeling: focus on building and optimizing generative models for international languages.
  • Full‑Stack Language Expertise: own the entire generative modeling pipeline from data preprocessing to deployment.
  • Language Diversity: ensure models are linguistically adaptable across popular international languages.

Job description

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 ensures 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!

  • 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!

Minimum Qualifications
  • 4+ years of machine learning expertise.
  • Strong programming using Python, Objective‑C, or Swift.
  • Good exposure to deep learning libraries such as PyTorch and TensorFlow.
  • Thorough experience with common NLP algorithms and applications, including tokenization, language modelling, text decoding, and text classification.
Preferred Qualifications
  • Experience exercising machine learning techniques, implementing optimizers and regularizations, formulating and implementing loss functions, applying parameter tuning, reproducing and revising state‑of‑the‑art research experiments, addressing accuracy and performance bottlenecks in distributed training and inference, and benchmarking model compression methods.
  • Proficiency in high‑quality coding across complex and large repositories, implementing new optimizers or loss functions, algorithm optimizations for critical performance or accuracy, refactoring or redesigning existing codebases, processing large data sets efficiently, and establishing automated synthesis, training, and evaluation pipelines across multiple internal and external APIs, while applying common object‑oriented design patterns.
  • Experience with multi‑modal modelling, presenting plans, progress, and results or demos regularly and concisely.
  • Experience in NLP modelling for Indian languages is desired.
  • Strong problem‑solving skills and a focus on what matters.
  • Results‑oriented with a desire to work in a fast‑paced environment and fight for excellence.
  • Ability to communicate effectively and innovate at the detail level.
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