169 jobs for "AIML - Machine Learning Research"

AIML - Applied ML Engineer, Responsible AI

At Apple

Posted on Oct 19

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Machine Learning Research Engineer, SIML - ISE

At Apple - Cupertino

Posted on Oct 17

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Applied AI/ML - Vice President

At JPMorgan Chase - Wilmington

Posted on Oct 23

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2027 Summer Intern - Research and Development - Vehicle Aerodynamics and Machine Learning

At General Motors - Warren

Posted on Oct 30

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AIML - Sr Machine Learning Engineering Manager, Evaluation

At Apple - Cupertino

Posted on Oct 17

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Applied AIML Lead-Python & Agentic AI

At JPMorgan Chase - Glasgow

Posted on Oct 9

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Summer 2027 Intern - Research and Development - Smart Manufacturing Systems

At General Motors - Warren

Posted on Oct 12

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Entry-Level - AI/Machine Learning Researcher

At General Motors - Mountain View

Posted on Oct 12

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Lead AI Scientist

At Cornerstone OnDemand - Hyderabad

Posted on Oct 10

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Senior AI Scientist

At Cornerstone OnDemand - Hyderabad

Posted on Oct 10

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Staff Machine Learning Engineer

At Twilio - Remote / Flexible

Posted on Oct 26

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Vice President, Software Engineer (Private Markets Data)

At BlackRock - London

Posted on Aug 12

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Software Engineer Graduate (Data Arch - AI/ML Infrastructure) - 2026 Start (PhD)

At TikTok - San Jose

Posted on Jun 12

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Quantitative Trading and Research - AI Machine Learning Researcher - Associate

At JPMorgan Chase

Posted on Jul 30

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AI Materials Research Engineer

At Applied Materials - Santa Clara

Posted on Aug 29

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AI Architect - Media

At Dolby - Atlanta

Posted on Sep 12

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Senior AI Scientist

At Cornerstone OnDemand - Hyderabad

Posted on Oct 10

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Staff Machine Learning Engineer

At Twilio - Remote / Flexible

Posted on Oct 23

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Staff AI Research Engineer

At Duolingo - New York · Pittsburgh

Posted on Jun 26

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Machine Learning Engineer, Information Security

At Apple - Seattle

Posted on Oct 16

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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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