163 jobs for "Audio Engineer"

AIML - Applied ML Engineer, Responsible AI

At Apple

Posted on Oct 19

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Formal Verification Engineer

At Apple - München

Posted on Oct 19

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Sr FPGA Design Engineer

At Dolby - San Francisco

Posted on Oct 23

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Internship - Machine Learning (Foundation Models)

At Apple - Zürich

Posted on Oct 19

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Head of IT

At Dolby - Greenwood Village

Posted on Oct 23

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Tecnico de Suporte

At Jabil - Manaus

Posted on Oct 21

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Senior Software Engineer, Content Understanding

At Roblox - San Mateo

Posted on Nov 3

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Senior Software Engineer

At Intuitive - Sunnyvale

Posted on Oct 22

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Staff Software Engineer, Engine Performance - Central Technology, Unreal Ecosystem

At Riot Games - Los Angeles

Posted on Oct 14

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Telecommunications Technician

At SpaceX - Memphis

Posted on Oct 29

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Staff AI Research Engineer

At Duolingo - New York · Pittsburgh

Posted on Nov 5

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Principal Software Engineer, WebRTC

At Roblox - San Mateo

Posted on Oct 29

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IT Network Infrastructure Technician

At SpaceX - Cape Canaveral

Posted on Oct 27

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Staff Software Engineer, Engine Performance (Tools) - Central Technology, Unreal Ecosystem

At Riot Games - Los Angeles

Posted on Oct 14

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Director, Activation

At Kepler Group

Posted on Nov 4

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Associate Director, Activation

At Kepler Group - Toronto

Posted on Nov 4

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Associate Director, Activation

At Kepler Group

Posted on Oct 30

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IT Support Specialist

At Leidos - Crane

Posted on Oct 24

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Internship - Machine Learning (Foundation Models)

At Apple

Posted on Oct 19

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Generative AI Research Engineer, Siri Speech

At Apple - Cambridge

Posted on Oct 19

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Apple

AIML - Applied ML Engineer, Responsible AI

SpainPosted 20 days ago

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Join a team at the forefront of defending Apple's ecosystem. Our Data and ML Innovation team builds the large-scale machine learning systems that protect millions of users from emerging threats and ensure the integrity of our products.

We are looking for an experienced Applied ML Engineer who has a proven track record of shipping production models. The ideal candidate is passionate about tackling complex safety and security challenges using state-of-the-art techniques. In this role, you will design, build, and deploy the critical machine learning systems that are foundational to the safety of Apple's products, all while upholding our deep commitment to user privacy.

Description
As engineer on this team, you will own the full lifecycle of our abuse detection machine learning models. You will collaborate closely with researchers to understand the threat landscape and partner with software and product teams to deploy robust, scalable defenses. We believe the most effective security systems are built by engineers who can translate adversarial insights into production-ready code. Your work will directly contribute to the architecture of Apple's AI platform and protect users from real-world harm. Here is what you will do:","responsibilities":"Design, build, and deploy production-grade ML models to detect and mitigate abuse across multiple modalities (text, image, audio).
Own the full ML lifecycle: from prototyping and data analysis to deployment, monitoring, and the continuous improvement of models in production.
Drive the data strategy to continuously improve model performance by analyzing distribution gaps, contributing to synthetic data pipelines, and creating automated annotation systems.
Architect end-to-end systems for monitoring platform activity, detecting misuse, and triggering automated enforcement actions in real-time.
Collaborate with cross-functional partners in engineering, research, and product to define project requirements, establish technical direction, and deliver robust security solutions.

Preferred Qualifications
BS, MS or PhD in Computer Science, Machine Learning, or related fields or an equivalent qualification acquired through other avenues
Hands-on experience with fine-tuning or aligning large language models for security or safety applications.
Experience building large-scale data processing pipelines and ML infrastructure.
Experience driving technical projects and collaborating with large, diverse, cross-functional teams.

Minimum Qualifications
Proven experience shipping machine learning models to production. You have owned the end-to-end lifecycle of a model, from development to deployment and maintenance.
Strong familiarity with research fundamentals, machine learning principles, and development methodologies around LLMs, foundation models, and diffusion models
Proficient programming skills in Python and deep learning toolkits (e.g. JAX, PyTorch, Tensorflow)
Ability to work with sensitive and offensive content as part of building robust security and abuse detection systems.

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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