Machine Learning Applied Researcher, Speech, Vision and Audio

Apple Inc

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Cambridge, MA
Salary: $134,700–$203,000 / yr
Posted: 54 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $228k

This role $169k

$118k $295k

below market most similar roles pay here above market

This role pays less than 90% of similar roles. Most pay $200,937–$254,750 — the blue band above. At the midpoint, this role pays about $169k versus about $228k 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 3497 open roles on FindRole.

Listed pay typically runs $174,149–$277,600 across 2702 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

The Machine Learning Applied Researcher - Speech, Vision and Audio joins a dynamic group to research new capabilities and develop frontier models using cutting-edge methods. This role involves taking on high-risk, high-reward challenges by researching, designing, and improving state-of-the-art deep learning models trained on unique data. The researcher will implement novel neural network architectures, formulate hypotheses, and run experiments to solve problems in the field of automatic speech recognition. Key responsibilities include improving model performance while managing deployment constraints like latency and memory. The position requires proficiency in Pytorch and experience with multimodal data, including vision, audio, and sensor fusion. Candidates should possess deep knowledge in self-supervised learning, synthetic data generation, large language model training, and signal processing to solve complex, ambiguous problems.

Skills

Deep Learning Pytorch Self-Supervised Learning Signal Processing Multimodal Data Synthetic Data Generation Neural Network Architectures Sensor Fusion

What you'll do

Research and develop cutting-edge deep learning models using vision, audio, sensor, and text modalities.
Design and implement novel neural network architectures to solve unique challenges in Automatic Speech Recognition.
Formulate hypotheses and run experiments to navigate ambiguous problem spaces and iterate toward solutions.
Improve model performance while optimizing for deployment constraints like latency, memory, and compute.
Translate research ideas into production-quality code for broad adoption across teams.
Stay current with scientific literature to identify and apply new frontier machine learning methods.

What we're looking for

BS in Computer Science, Electrical Engineering, or a related field, or equivalent practical experience.
Experience in academic or industry research.
Experience working with Pytorch.
MS or PhD in Computer Science, Electrical Engineering, or a related field (preferred).
Strong foundation in deep learning theory and hands-on experience training large-scale models (preferred).
Deep knowledge in self-supervised learning, synthetic data generation, LLM training, or automatic speech recognition (preferred).
Experience working with multimodal data such as images, audio, time-series, or sensor fusion (preferred).
Publication record at top-tier ML venues like NeurIPS, ICML, ICLR, Interspeech, or ICASSP (preferred).

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