63 jobs for "Staff Machine Learning Engineer - Unpublished R&D Product"

Staff Machine Learning Engineer, Siri Runtime Systems and Interaction

At Apple

Posted on Oct 19

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Staff ML Engineer (Optimization)

At Uber - San Francisco · Sunnyvale

Posted on Nov 5

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Staff Machine Learning Engineer - Rider Intelligence

At Uber - Seattle · Sunnyvale

Posted on Oct 16

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Staff Machine Learning Engineer, Siri Runtime Systems and Interaction

At Apple - Zürich

Posted on Oct 19

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Staff Machine Learning Engineer, Siri Runtime Systems and Interaction

At Apple

Posted on Oct 16

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Staff Machine Learning Engineer - Risk and Trust

At Uber - San Francisco · Sunnyvale

Posted on Oct 14

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Staff Full-Stack Engineer (Director - IC)

At Capital One - McLean · San Francisco

Posted on Oct 21

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Staff Machine Learning Engineer (Credit International ML)

At Affirm - Remote / Flexible

Posted on Oct 28

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Staff Machine Learning Engineer

At Twilio - Remote / Flexible

Posted on Oct 26

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Staff Machine Learning Engineer - Edge AI

At Samsara Inc. - Remote / Flexible

Posted on Nov 6

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Staff Machine Learning Engineer - Edge AI

At Samsara Inc. - Remote / Flexible

Posted on Nov 6

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Staff Full-Stack Engineer (Director - IC)

At Capital One - McLean · Richmond

Posted on Oct 21

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Staff Machine Learning Engineer

At Twilio - Remote / Flexible

Posted on Oct 23

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Software Engineer III- .NET

At UKG - Noida

Posted on Oct 15

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Machine Learning Engineer, Answers Relevance

At Reddit - Remote / Flexible

Posted on Oct 18

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Staff AI Research Engineer, Speech Recognition

At Duolingo - New York · Pittsburgh

Posted on Nov 5

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IND Senior Staff Software Engineer

At The Hartford - Hyderabad

Posted on Oct 15

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Staff Analytics Engineer

At GE Vernova - Greenville

Posted on Nov 5

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AI Manager/Lead - Lead Data Engineer II

At Deloitte - Sacramento

Posted on Nov 6

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Software Engineering & AI Intern

At Leidos - Odenton

Posted on Nov 5

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Apple

Staff Machine Learning Engineer, Siri Runtime Systems and Interaction

SwitzerlandPosted 21 days ago

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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

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