Machine Learning Applied Researcher, Speech, Vision and Audio

Apple Inc

Quick summary

Work type
On-site
Location
Cambridge, MA
Salary
$132,100–$199,000 / yr
Posted
9 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $219k
This role $166k
$117k most similar roles pay here $277k

This role pays less than 88% of similar roles. Most pay $189,194–$248,587 — the shaded band above. At the midpoint, this role pays about $166k versus about $219k for comparable roles.

Based on 240 similar postings.

Employer

About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 1817 open roles on FindRole.

Listed pay typically runs $163,300–$272,100 across 1482 roles with salary data.

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At a glance

TL;DR · Machine Learning Applied Researcher, Speech, Vision and Audio

Role Posting Log in to save

Join our dynamic team as a senior Machine Learning Applied Researcher specializing in speech, vision, and audio technologies. In this role, you will lead high-risk, high-reward projects by researching and developing cutting-edge deep learning models across various modalities, including ASR, while navigating complex problem spaces to deliver innovative solutions. You will collaborate with cross-functional teams to integrate diverse approaches into scalable products, ensuring model performance aligns with deployment constraints like latency and memory usage. Ideal candidates possess a strong background in deep learning theory, hands-on experience with PyTorch, and expertise in areas such as self-supervised learning or multimodal data processing. This role demands resilience, analytical skills, and the ability to translate research into production-quality code, contributing to advancements in frontier ML methods and top-tier publications.

Skills

Pytorch Deep Learning Neural Networks ASR Multimodal Data Self-Supervised Learning Synthetic Data Generation Large Language Model Training CI/CD Git Python CUDA TensorFlow Kubernetes AWS Google Cloud Platform Azure Docker Jupyter Notebook GitHub

What you'll do

  • Research and develop cutting-edge deep learning models using multiple data modalities.
  • Design novel neural network architectures to solve unique challenges in ASR.
  • Formulate hypotheses, run experiments, and iterate towards solutions in ambiguous problem spaces.
  • Improve model performance while considering deployment constraints like latency and memory usage.
  • Synthesize approaches from different fields into solutions benefiting the entire organization.

What we're looking for

  • BS in Computer Science, Electrical Engineering, or related field required.
  • Experience in academic or industry research with deep learning models.
  • Proficiency in Pytorch for developing neural network architectures.
  • Strong foundation in deep learning theory and large-scale model training.
  • Knowledge in self-supervised learning, synthetic data generation, or ASR.
  • Ability to work with multimodal data and translate research into production code.
  • Publication record at top-tier ML venues like NeurIPS, ICML, ICLR.

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