662 jobs for "Lead Engineer - Infrastructure"

Staff Machine Learning Engineer, Siri Runtime Systems and Interaction

At Apple

Posted on Oct 16

View job Apply on company site

Deployment Engineer

At Leidos - Columbus

Posted on Oct 21

View job Apply on company site

CAD Software Developer Engineer

At Apple - Remote / Flexible

Posted on Oct 16

View job Apply on company site

Deployment Engineer

At Leidos - Chantilly

Posted on Oct 21

View job Apply on company site

Distinguished Engineer, Infrastructure Engineering, Wallet, Payments & Commerce

At Apple - Cupertino

Posted on Oct 16

View job Apply on company site

Senior Systems Integration & Test Engineer

At Leidos - Egg Harbor Township

Posted on Oct 20

View job Apply on company site

Lead Platform Engineer

At Mastercard - Pune

Posted on Oct 9

View job Apply on company site

Lead Software Engineer, ITC

At Nike

Posted on Jun 9

View job Apply on company site

Lead Software Engineer - Java

At Mastercard - Stovner

Posted on Sep 24

View job Apply on company site

Senior Implementation Engineer

At Adyen - London

Posted on Sep 12

View job Apply on company site

Senior Director, Full-stack Engineer (Remote-Eligible) - Global Payment Network

At Capital One - Remote / Flexible

Posted on Oct 3

View job Apply on company site

Distinguished Engineer, Networking

At Equinix - Remote / Flexible

Posted on Aug 24

View job Apply on company site

Lead Platform Engineer (SME Jfrog Artifactory)

At Mastercard - Pune

Posted on Aug 18

View job Apply on company site

Senior Implementation Engineer

At Adyen - San Francisco

Posted on Apr 24

View job Apply on company site

Distinguished Engineer, Networking

At Equinix - Remote / Flexible

Posted on Aug 24

View job Apply on company site

Full-stack Engineer 4, Agentic Technology

At Capital One - McLean · New York

Posted on Oct 1

View job Apply on company site

Distinguished Engineer, Networking

At Equinix - Remote / Flexible

Posted on Aug 24

View job Apply on company site

Senior Director, Data Engineer

At Capital One - McLean · Plano

Posted on Sep 27

View job Apply on company site

Systems Engineer - IT Operations

At Aristocrat - Las Vegas

Posted on Oct 9

View job Apply on company site

Senior Cloud Engineer

At Fisher Investments - Plano

Posted on Sep 29

View job Apply on company site

Apple

Staff Machine Learning Engineer, Siri Runtime Systems and Interaction

Posted 24 days ago

Apply on company site View full job

Why you should apply for a job to Apple:

Ranked as one of the Best Technology Companies in 2020
3.7/5 in overall job satisfaction
3.1/5 in supportive management
66% say women are treated fairly and equally to men
65% would recommend this company to other women
66% say the CEO supports gender diversity

Ratings are based on anonymous reviews by Fairygodboss members. See all reviews ›

As part of Siri Attention and Invocation, we collaborate to deliver the next revolution in human-computer interaction, to inspire and create groundbreaking technology for large-scale systems spanning speech, vision, and generative AI to overcome real-world challenges through innovation and user-centered design that improves the daily experience of millions of our customers.

Description
We are seeking an exceptional Staff Machine Learning Engineer to lead the development of audio and video generation capabilities. In this role, you will drive the technical vision for generating realistic, expressive synthetic speech and visual representations, mentor senior and junior engineers, and shape the roadmap for multimodal generative experiences across our products.","responsibilities":"Design and implement end-to-end systems for generating synthetic audio (speech, acoustics, sound) and/or video for agents interaction
Lead complex generative AI projects from research prototype through large-scale production deployment
Establish best practices for model evaluation, perceptual quality assessment, and monitoring of generative outputs
Drive technical decisions and architecture for multimodal (audio/video) generation systems, balancing quality, latency, and scalability
Identify high-impact opportunities where advances in generative modeling can meaningfully improve agents experiences
Collaborate closely with research, product, design, and infrastructure teams to translate cutting-edge techniques into shipped features
Mentor and provide technical guidance to engineers across the team, raising the bar for ML engineering practices
Stay current with emerging techniques in generative modeling (e.g., diffusion, autoregressive, end-to-end architectures) and evaluate their applicability to our systems

Preferred Qualifications
Proven experience building and shipping machine learning systems in production, with significant focus on generative modeling
Excellent collaboration and communication skills, with a track record of working across research, engineering, and product teams
Strong software engineering skills, with experience designing scalable ML systems and pipelines (e.g., Python, PyTorch/TensorFlow, distributed training infrastructure)
Experience with speech synthesis (TTS), voice conversion, audio acoustics/background modeling, or conversational AI systems
Experience with generative video/animation techniques (e.g., facial animation, lip-sync, avatar rendering, video diffusion)
Publications in generative modeling, speech, audio, or computer vision at top-tier venues (e.g., NeurIPS, ICML, ICASSP, CVPR, Interspeech)
Experience deploying real-time or low-latency generative models at scale
Familiarity with multimodal modeling (joint audio-visual generation, cross-modal conditioning)
Prior experience mentoring engineers or leading technical direction for a team

Minimum Qualifications
Master's or PhD in Computer Science, Electrical Engineering, Machine Learning, or a related field, or equivalent practical experience
Deep hands-on experience with generative audio and/or video architectures (e.g., diffusion models, autoregressive models, GANs, VAEs, end-to-end neural synthesis)
Demonstrated ability to lead complex, ambiguous projects from research through production, and to make sound technical tradeoffs under real-world constraints (quality, latency, compute)
Experience evaluating generative model outputs, including both objective metrics and perceptual/subjective quality assessment

About Apple

Working at Apple means doing more than you ever thought possible and having more impact than you ever imagined.

Size: 10,000+ employees
Industry: Technology: Manufacturing

View company profile