Machine Learning Applied Researcher - Speech, Vision and Audio

Apple Inc

Quick summary

Work type
On-site
Location
Cambridge, MA
Salary
$162,500–$244,600 / yr
Posted
2 days ago

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $224k
This role $204k
$151k most similar roles pay here $274k

This role pays less than 63% of similar roles. Most pay $198,000–$249,750 — the shaded band above. At the midpoint, this role pays about $204k versus about $224k for comparable roles.

Based on 239 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 1816 open roles on FindRole.

Listed pay typically runs $162,500–$272,100 across 1473 roles with salary data.

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At a glance

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

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 and algorithms across multiple data modalities such as vision, audio, and text. You will design innovative neural network architectures to solve unique challenges in automatic speech recognition while maintaining deployment constraints like latency and memory usage. Your responsibilities include formulating hypotheses, conducting experiments, and iterating towards solutions that benefit the entire organization through collaboration with cross-functional teams. Proficiency in PyTorch and a strong foundation in deep learning theory are essential, along with experience in multimodal data handling and resilience in experimental cycles. This role requires expertise in self-supervised learning, synthetic data generation, or large language model training, making it ideal for those passionate about pushing the boundaries of machine learning research.

What you'll do

  • Research and develop advanced deep learning models using multiple data modalities like vision, audio, and text.
  • Design innovative neural network architectures to solve unique challenges in automatic speech recognition (ASR).
  • Formulate hypotheses, conduct experiments, and iterate towards solutions despite ambiguous problem spaces.
  • Enhance model performance while considering deployment constraints such as latency and memory usage.
  • Synthesize approaches from various fields into comprehensive solutions benefiting the entire organization.
  • Stay updated with frontier machine learning methods through scientific literature and apply new ideas effectively.

What we're looking for

  • BS in Computer Science, Electrical Engineering, or related field required.
  • Experience in academic or industry research with Pytorch.
  • Strong foundation in deep learning theory and training large-scale models.
  • Deep knowledge in self-supervised learning, synthetic data generation, or ASR.
  • Experience working with multimodal data such as images, audio, time-series.
  • Publication record at top-tier ML venues like NeurIPS, ICML, ICLR.
  • Resilience and persistence in high-risk, high-reward research challenges.

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