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Assistant Deep Learning Jobs (NOW HIRING)

FieldAI

Senior Machine Learning Engineer

Seattle, WA

$180K - $215K/yr

Work with deep learning architectures such as transformers, convolutional networks to capture ... Model Deployment, Monitoring & Performance * Assist with deploying machine learning models into ...

FieldAI

Senior Machine Learning Engineer

Seattle, WA · On-site

$180K - $215K/yr

Work with deep learning architectures such as transformers, convolutional networks to capture ... Model Deployment, Monitoring & Performance * Assist with deploying machine learning models into ...

FieldAI

Senior Machine Learning Engineer

Irvine, CA · On-site

$180K - $215K/yr

Work with deep learning architectures such as transformers, convolutional networks to capture ... Model Deployment, Monitoring & Performance * Assist with deploying machine learning models into ...

FieldAI

Senior Machine Learning Engineer

Irvine, CA · On-site

$180K - $215K/yr

Work with deep learning architectures such as transformers, convolutional networks to capture ... Model Deployment, Monitoring & Performance * Assist with deploying machine learning models into ...

FieldAI

Senior Machine Learning Engineer

Seattle, WA · On-site

$180K - $215K/yr

Work with deep learning architectures such as transformers, convolutional networks to capture ... Model Deployment, Monitoring & Performance * Assist with deploying machine learning models into ...

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Machine Learning Architect - Conversational Speech

Cupertino, CA • On-site

Apple
Computer and Electronic Product Manufacturing • 10K+ employees
Learn more about Appleexternal

Full-time

Re-posted 16 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 684 frontline employees who took The Breakroom Quiz

Job description

Join the team redefining what a deeply personal and integrated assistant can be.
As part of the Siri organization, you will help shape one of the world's most widely used AI assistants, powered by our next-generation of Apple Intelligence, with capabilities like personal context understanding and on-screen awareness, built with privacy from the ground up. Your work will have direct, meaningful impact for users across iOS, iPadOS, macOS, watchOS, and visionOS.
This is a rare opportunity to build at the intersection of cutting-edge AI and human-centered design, shipping technology that is centered around users and their needs.
Description
The Speech organization within Siri drives major speech recognition, synthesis, and speech-to-speech model advances for features deeply embedded throughout Apple's ecosystem. Our mission is to build cutting-edge infrastructure, datasets, and models that empower Siri conversational AI, dictation, and speech-enabled Apple Intelligence features across natural language understanding, dialog generation, speech recognition, and multimodal interaction. We apply these technologies to create engaging, intelligent, and personalized conversational experiences for millions of Apple users.
We are seeking a Machine Learning Architect to serve as a senior technical leader spanning the full Speech organization. You will set the future modeling direction for all of conversational speech-charting the architectural and algorithmic course for how Apple's speech technologies evolve. You will operate as a hands-on expert who not only defines strategy but also digs into the hardest technical problems, working shoulder-to-shoulder with teams to overcome critical obstacles. Reporting directly to the Speech organization leadership, you will have broad visibility and influence across speech recognition, synthesis, dialog, multimodal foundation models, and speech-to-speech systems, ensuring coherent technical vision and cross-team alignment.
Minimum Qualifications
10+ years of experience in machine learning applied to speech or multimodal systems, with progressively increasing technical scope and leadership.
Demonstrated expertise as a technical leader or architect who has defined modeling direction across multiple teams or product areas.
Deep, hands-on proficiency in modern deep learning, including large language models and end-to-end speech systems.
Significant experience with multimodal LLMs, including architecture design, training, adaptation, and deployment of models that integrate speech, audio, and text modalities.
Direct experience building speech-to-speech conversational systems, with a strong understanding of full-duplex natural conversational interaction and end-to-end speech pipelines.
A track record of translating research into production-quality systems at scale.
Expert programming skills in Python and deep learning frameworks such as PyTorch, JAX, or TensorFlow.
Preferred Qualifications
Ph.D. in Computer Science, Electrical Engineering, Machine Learning, or similar technical field.
Experience architecting or leading development of full-duplex natural conversational systems, speech-to-speech models, or multimodal foundation models that have shipped to large-scale user populations.
Deep familiarity with the full stack of speech technologies-ASR, TTS, spoken dialog, speaker modeling, audio understanding-and an ability to reason about their interactions and dependencies.
Experience with large-scale distributed training and the infrastructure considerations that shape model design at scale.
A data-centric perspective on foundation model development, including experience guiding data collection, curation, annotation, and quality strategies.
Experience with on-device ML deployment, including model compression, quantization, and latency-aware architecture design.

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apple logo

About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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